Data Books
Browse our extensive library of books and Book Summaries.
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A Practical Guide to SAP Integration Suite: SAP's Cloud Middleware and Integration SolutionThis book covers the basics of SAP's Integration Suite, including a broad overview of its capabilities, installation, and real-life examples to illustrate how it can be used to integrate, develop, administer, and monitor applications in the cloud.
By Jaspreet Bagga
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A Roadmap to Green Supply Chains: Using Supply Chain Archaeology and Big Data AnalyticsShowing the relationship between the sustainability movement and supply chains, this book explains how to direct your purchasing power so that you source products that not only fill the needs of your organizations, but that also contribute to the health and well-being of the planet.
By Kevin L. Lyons
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A Whole New Ballgame: Leveraging Big Data in BaseballAuthored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article explores how baseball has always been a data-rich statistical paradise and is called a data- driven sport, yet the amount of data it used to generate pales in comparison to today's game.
By Bruce Yellin
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Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast!Authored by an IT visionary with extensive global supply chain experience and insight, this book describes what happens when team members have accurate, reliable, usable, and timely information at their fingertips.
By Clifford Siegel, Donald Farmer, Keith B. Carter
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Advanced Data Structures and Algorithms: Learn How to Enhance Data Processing with More Complex and Advanced Data Structures"Advanced Data Structures and Algorithms" is an important subject area in Computer Science that covers more complex and advanced topics related to data structures and algorithms.
By Abirami A, Priya R L
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Agile Data Warehousing for the Enterprise: A Guide for Solution Architects and Project LeadersStep-by-step, this book will help you deepen your own application development skills, show your teammates the fastest and most reliable techniques for creating business intelligence systems, or ensure that the IT department working for you is building your next decision support system the right way.
By Ralph Hughes
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Agile Data Warehousing Project Management: Business Intelligence Systems Using ScrumRegardless of where you are today, this step-by-step implementation guide will prepare you to join or even lead a team in visualizing, building, and validating a single component to an enterprise data warehouse.
By Ralph Hughes
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Agile SAP: Introducing, Flexibility, Transparency and Speed to SAP ImplementationsContaining strategies based on the 12 principles of the Agile Manifesto, this book presents ways of improving SAP implementations and offers practical advice on the most effective way to see a project through from beginning to end using the methodologies of Scrum and Kanban.
By Sean Robson
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ALE, EDI, & IDoc Technologies for SAP, 2nd EditionThis title will be removed from the Skillsoft library on May 24, 2024.
By Arvind Nagpal, John Pitlak
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Algorithms and Data Structures for Massive DatasetsAlgorithms and Data Structures for Massive Datasets reveals a toolbox of new methods that are perfect for handling modern big data applications.
By Dzejla Medjedovic, Emin Tahirovic, Ines Dedovic
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Always On: Digital Brand Strategy in a Big Data WorldProviding an understanding of what it takes to develop, implement and run a digital strategy, this book will help you find a digital process strategy and methodology that works for your organization.
By Arve Peder Øverland
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Analytics and Dynamic Customer Strategy: Big Profits from Big DataUsing data from a five-year study to illustrate important concepts and scenarios along the way, this insightful book helps eliminate paralysis-by-analysis and optimize decision making for marketing performance.
By John F. Tanner Jr
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Analytics in a Big Data World: The Essential Guide to Data Science and its ApplicationsIncluding numerous case studies on risk management, fraud detection, customer relationship management, and web analytics, this essential book reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities.
By Bart Baesens
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Apache HBase PrimerA unique and to the-point guide to learning and using the essentials of HBase, this book discusses the fundamental foundations and concepts and covers the HBase data model, architecture, schema design, API, and administration.
By Deepak Vohra
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Apache Hive: 34 Most Asked Questions On Apache HiveOffering a thorough view of key knowledge and detailed insight, this all-embracing guide provides comprehensive answers and extensive details and references for everything you want to know about Apache Hive.
By Jacqueline Douglas
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Application of Big Data for National Security: A Practitioner's Guide to Emerging TechnologiesProviding users with state-of-the-art concepts, methods, and technologies for Big Data analytics in the fight against terrorism and crime, this expert guide includes a series of case studies and scenarios to demonstrate the application of Big Data in a national security context.
By Babak Akhgar, et al.
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Book
Applied Big Data Analytics and Its Role in COVID-19 ResearchApplied Big Data Analytics and Its Role in COVID-19 Research introduces the most recent industrial applications and research topics on COVID-19 with big data analytics.
By Peng Zhao, Xi Chen
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Applied SAP BI 7.0 Web Reports: Using BEx Web Analyzer and Web Application DesignerBy combining technical details on system functionality and configuration with examples of SAP Web Reports in the corporate environment, this guide explains how to develop powerful web-based reports and dashboards within the SAP BI 7.0 environment.
By Peter Jones
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Architecting a Modern Data Warehouse for Large Enterprises: Build Multi-cloud Modern Distributed Data Warehouses with Azure and AWSDesign and architect new generation cloud-based data warehouses using Azure and AWS. This book provides an in-depth understanding of how to build modern cloud-native data warehouses, as well as their history and evolution.
By Abhishek Mishra, Anjani Kumar, Sanjeev Kumar
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Asset Accounting Configuration in SAP ERP: A Step-by-Step GuideDemystifying the complexities involved in SAP asset configuration, this timely book provides configuration explanations in the simplest forms possible and provides step-by-step guidance with illustrations and practical examples.
By Andrew Okungbowa
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Auditing and GRC Automation in SAPExtending the aim of internal controls from legal compliance to include efficiency and profitability and then well beyond, this book begins with the requirements for compliance, answers compliance-relevant questions in the form of an audit guide for an SAP ERP system and in the form of risks and control descriptions, and also shows how to automate the compliance management process based on SAP GRC.
By Maxim Chuprunov
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Be Data Literate: The Data Literacy Skills Everyone Needs to SucceedDevelop the curiosity, creativity and critical thinking needed to confidently interpret, analyze and communicate with data in the workplace.
By Jordan Morrow
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Beginning Apache Pig: Big Data Processing Made EasyShowing you how to use Apache Pig to develop lightweight big data applications easily and quickly, this book shows you many optimization techniques and covers every context where Pig is used in big data analytics.
By Balaswamy Vaddeman
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Beginning Apache Spark 2: With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning LibraryA tutorial on the Apache Spark platform written by an expert engineer and trainer, this book will give you the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications.
By Hien Luu
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Beginning Apache Spark 3This book begins by explaining different ways of interacting with Apache Spark, such as Spark Concepts and Architecture, and Spark Unified Stack.
By Hien Luu
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Beginning Apache Spark Using Azure Databricks: Unleashing Large Cluster Analytics in the CloudTeaching you how to analyze vast amounts of data in record time using Apache Spark with Databricks in the Cloud, this book explains how the confluence of these pivotal technologies gives you enormous power, and cheaply, when it comes to huge datasets.
By Robert Ilijason
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Beginning SAP FioriTaking a deep dive into SAP Fiori, Fiori architecture, landscape installation, Launchpad configuration, and more, this book shows you how SAP Fiori, based on HTML5 technology, addresses the most widely and frequently used SAP transactions like purchase order approvals, sales order creation, information lookup, and self-service tasks.
By Bince Mathew
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Big Data & Internet Of Things: What, How, and Why?Authored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article explores how Big Data and Internet of Things continue to be enhanced to adapt to data proliferation and customer needs.
By Ahmed Fahmy, Hussam Refaat, Rudaina Mawy
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Big Data Analytics for Cyber-Physical SystemsThis book highlights research and survey articles dedicated to big data techniques for cyber-physical system (CPS), which addresses the close interactions and feedback controls between cyber components and physical components.
By Bei Yu, Shiyan Hu
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Book
Big Data Analytics for Large-Scale Multimedia SearchIncluding numerous tables, illustrations, and figures, this book presents a timely overview of cutting-edge technologies for multimedia retrieval with a special emphasis on scalability.
By Benoit Huet, Edward Y. Chang, Ioannis Kompatsiaris (eds), Stefanos Vrochidis
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Book
Big Data Analytics Strategies for the Smart GridExploring the unique needs of electrical utility grids, including operational technology, IT, storage, processing, and how to transform grid assets for the benefit of both the utility business and energy consumers, this book not only provides specific examples that illustrate how analytics work and how they are best applied, but also describes how to avoid potential problems and pitfalls.
By Carol L. Stimmel
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Big Data Analytics Using SplunkIncluding examples drawn from social media sources such as Twitter (tweets) and Foursquare (check-ins), this practical, hands-on guide shows how to process and derive business value from big data in real time.
By Peter Zadrozny, Raghu Kodali
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Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream ProcessingHelping you become a much sought-after Spark expert, this step-by-step guide shows you how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning.
By Mohammed Guller
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Big Data Analytics: A Practical Guide for ManagersComparing and contrasting the different types of analysis commonly conducted with big data, this accessible reference presents clear-cut explanations of the general workings of big data tools.
By Kim H. Pries, Robert Dunnigan
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BOOK SUMMARY
Big Data Analytics: A Practical Guide for ManagersBig Data Analytics guides the reader through the basics of how big data is amalgamated, analyzed, and used. In this Summary, we discuss the salient points of the book based on our interpretation of its contents.
By Kim H. Pries, Robert Dunnigan
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Big Data Analytics: Turning Big Data into Big MoneyFocusing on the business and financial value of big data analytics, this breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses how you can turn a business liability into actionable material.
By Frank Ohlhorst
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Big Data and Analytics: The Key Concepts and Practical Applications of Big Data AnalyticsBig data and analytics is an indispensable guide that navigates the complex data management and analysis.
By Dr. Anubhav Kumar, Dr. Jugnesh Kumar, Dr. Rinku Kumar
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Big Data and Business AnalyticsPacked with case studies and the insights from some of the leading experts and organizations worldwide, this book shows you how to go from being data-rich to insight-rich, improving your decision making and creating competitive advantage.
By Jay Liebowitz (ed)
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Big Data and Hadoop: Fundamentals, Tools, and Techniques for Data-Driven Success, 2nd EditionWhether you are a beginner or have some experience with big data. This book is for aspiring big data professionals, including data analysts, software developers, IT professionals, and students in computer science and related fields.
By Mayank Bhushan
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Big Data and Hadoop: Learn by ExampleContaining the latest trends in big data and Hadoop, this learn-by-doing resource explains how big Big Data is and why everybody is trying to implement it into their IT projects.
By Mayank Bhushan
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Big Data and Health AnalyticsUsing non-technical language, this book is accessible to health care professionals who might not have an IT and analytics background. It includes case studies that illustrate the business processes underlying the use of big data and health analytics to improve health care delivery.
By Harold Lehmann, Katherine Marconi (eds)
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Big Data and the Internet of Things: Enterprise Information Architecture for a New AgeCombining practical advice with technical considerations, this book provides guidance in designing an information architecture to accommodate increasingly large amounts of data, from traditional sources as well as novel sources such everyday objects that are fast becoming wired into global Internet.
By Art Licht, Louis Nagode, Robert Stackowiak, Venu Mantha
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Big Data Application Architecture Q & A: A Problem-Solution ApproachDealing with the various mission critical problems encountered by solution architects, consultants, and software architects, this book presents patterns which provide the strong architectural foundation required to launch your next big data application.
By Himanshu Shah, Nitin Sawant
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Big Data Bootcamp: What Managers Need to Know to Profit from the Big Data RevolutionWhether you're a Fortune 500 executive or the proprietor of a restaurant or web design studio, this straightforward resource explains what big data is and how you can use it in your company to become one of tomorrow's market leaders.
By David Feinleib
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Big Data For DummiesProviding a plain-English explanation of what big data is (and isn't), this friendly guide discusses the technology and database options supporting it, analytics that help you get meaning from your data, how to manage it, and what it can do for your company.
By Alan Nugent, Fern Halper, Judith Hurwitz, Marcia Kaufman
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Big Data Hadoop Interview Guide: Get Answers to the Most Frequently Asked Questions in a Hadoop InterviewA power-packed guide with solutions to crack a Big data Hadoop interview, this book covers many interview questions and the best possible ways to answer them, and provides real-world examples that will help you understand the concepts of Big Data.
By Vishwanathan Narayanan
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Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and AnalyticsPresenting a deep insight into the realm of big data as well as the methodology, technical architecture, analytics techniques and best practices, this handbook describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other.
By Harsha Srivatsa, Madhu Jagadeesh, Soumendra Mohanty
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Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary ResultsA unique and in-depth insight into how specific companies use big data, this book profiles what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario.
By Bernard Marr
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Big Data Made Easy: A Working Guide to the Complete Hadoop ToolsetApproaching the problem of managing massive data sets from a systems perspective, this book explains the roles for each project (like architect and tester, for example) and shows how the Hadoop toolset can be used at each system stage - and then explains, in an easily understood manner and through numerous examples, how to use each tool.
By Michael Frampton
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Big Data ManagementFocusing on the analytic principles of business practice and big data, this book provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management.
By Benjamin Lev, Fausto Pedro García Márquez
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Big Data Marketing: Engage Your Customers More Effectively and Drive ValueProviding a strategic road map for executives who want to clear the chaos and start driving competitive advantage and top line growth, this book reveals how to spot patterns in your customers' behavior and offers proven ways to elevate customer experiences.
By Lisa Arthur
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Big Data MBA: Driving Business Strategies with Data ScienceBased on a practical framework with supporting methodology and hands-on exercises, this book brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage.
By Bill Schmarzo
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Big Data Mining for Climate ChangeDelivering a rich understanding of climate-related big data techniques, this comprehensive book highlights how to navigate huge amount of climate data and resources available using big data applications.
By Jianping Li, Zhihua Zhang
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Big Data Preprocessing: Enabling Smart DataThis book offers a comprehensible overview of Big Data Preprocessing, which includes a formal description of each problem. It also focuses on the most relevant proposed solutions. This book illustrates actual implementations of algorithms that helps the reader deal with these problems.
By Diego Garcı́a-Gil, Francisco Herrera, Julián Luengo, Salvador García, Sergio Ramírez-Gallego
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Big Data Processing Beyond Hadoop and MapReduceAuthored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article provides an overview of various new and upcoming alternatives to Hadoop MR.
By Ravi Sharda
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Big Data Processing Using Spark in CloudDescribing the emergence of big data technologies and the role of Spark in the entire big data stack, this book compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark.
By Lalit Mohan Goyal, Mamta Mittal, Raghvendra Kumar (eds), Valentina E. Balas
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Big Data Revolution: What Farmers, Doctors and Insurance Agents Teach Us About Discovering Big Data PatternsPresenting inside stories that demonstrate the power and potential of Big Data within the business realm, this book provides the insight executives need to incorporate Big Data into a better business strategy, improving outcomes with innovation and efficient use of technology.
By Patrick McSharry, Rob Thomas
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Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and KafkaExplaining each of the full-stack technologies and, more importantly, how to best integrate them, this book provides detailed coverage of the practical benefits of these technologies and incorporates real-world examples in every situation.
By Isaac Ruiz, Raul Estrada
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Big Data Using Hadoop and HiveThis book is the basic guide for developers, architects, engineers, and anyone who wants to start leveraging the open-source software Hadoop and Hive to build distributed, scalable concurrent big data applications.
By Nitin Kumar
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Big Data, Better Learning? How Big Data Is Affecting Organizational LearningExamining the responses of 418 learning and development professionals in position of managers and above from varying sectors, sizes, and locations, this report explores challenges and other considerations that learning leaders must address if they are to knowledgeably and capably manage big learning data and apply the insights it has to offer today's organizational learning functions.
By ASTD Research
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Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's BusinessesBy making the topic accessible through stories, metaphors, and analogies even though it's a technical subject area, this timely book looks at cutting-edge companies supporting an exciting new generation of business analytics.
By Ambiga Dhiraj, Michael Minelli, Michele Chambers
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Big Data, Big Innovation: Enabling Competitive Differentiation through Business AnalyticsEffective management means combining data, people, and analytics to create a synergistic force for innovation and growth. If you want your company to move forward with confidence, this groundbreaking book can show you how to use what you already have and acquire what you need to succeed.
By Evan Stubbs
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Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and PractitionersProviding an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency.
By Jared Dean
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Big Data, Little Data, No Data: Scholarship in the Networked WorldOffering case studies of data practices in the sciences, the social sciences, and the humanities, this book asserts that managing data over the long term requires massive investment in knowledge infrastructures, putting the future of scholarship at stake.
By Christine L. Borgman
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Big Data, Mining, and Analytics: Components of Strategic Decision MakingFilled with examples that illustrate the value of analytics throughout, this book outlines a conceptual framework for data modeling that can help you immediately improve your own analytics and decision-making processes.
By Stephan Kudyba
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Big Data, Open Data and Data Development: Volume 3Explaining how the main challenges for Big Data revolve around data integration and development within companies, this book explores data development processes within a context of strong competition.
By Jean-Louis Monino, Soraya Sedkaoui
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Big Data: A Business and Legal GuideSupplying a clear understanding of the interrelationships between Big Data, the new business insights it reveals, and the laws, regulations, and contracting practices that impact the use of the insights and the data, this book will enable readers to quickly grasp the key issues and effectively implement the right solutions to collecting, licensing, handling, and using Big Data.
By James R. Kalyvas, Michael R. Overly
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Big Data: A Very Short IntroductionDiscussing cases such as the Snowden affair, data security, and domestic smart devices which can be hijacked by hackers, this book explains how data is stored, analyzed, and exploited by a variety of bodies from big companies to organizations concerned with disease control.
By Dawn E. Holmes
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Big Data: An Art of Decision MakingThe book examines how data scientists explore, interpret and visualize our digital traces to make sense of them, and to produce new knowledge.
By Eglantine Schmitt
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Big Data: Opportunities and ChallengesDespite the hype around big data, there is no denying that its potential to benefit organizations, businesses and customers is enormous. This book presents articles which aim to give practical guidance for all those who want to understand big data better and learn how to make the most of it.
By BCS, The Chartered Institute for IT
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Big Data: Principles and Best Practices of Scalable Realtime Data SystemsThis book teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data.
By James Warren, Nathan Marz
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Big Data: Storage, Sharing, and SecurityExamining Big Data management from an R&D perspective, this thorough resource covers the 3S designs-storage, sharing, and security-through detailed descriptions of Big Data concepts and implementations.
By Fei Hu
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Big Data: Terms, Definitions and ApplicationsAuthored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article discusses the various new structures of data, the three V's that form the basis of big data, and the new dimensions that have arisen as challenges while discussing the big data.
By Anuj Mediratta
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Big Data: Understanding How Data Powers Big BusinessFull of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved in Big Data, as well as how to find areas of the organization that can take full advantage of big data.
By Bill Schmarzo
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Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve PerformanceIllustrated with numerous real-world examples from a cross section of companies and organizations, this practical book will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy.
By Bernard Marr
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Big-Data Analytics for Cloud, IoT and Cognitive LearningTo promote effective big data computing on smart clouds or supercomputers, this book takes a technological fusion approach by integrating big data theories with cloud design principles and supercomputing standards.
By Kai Hwang
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BigQuery for Data Warehousing: Managed Data Analysis in the Google CloudCreate a data warehouse, complete with reporting and dashboards using Google's BigQuery technology. This book takes you from the basic concepts of data warehousing through the design, build, load, and maintenance phases.
By Mark Mucchetti
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Block Trace Analysis and Storage System Optimization: A Practical Approach with MATLAB/Python ToolsUnderstand the fundamental factors of data storage system performance and master an essential analytical skill using block trace via applications such as MATLAB and Python tools.
By Jianjun Xu
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Building a Data Integration Team: Skills, Requirements, and Solutions for Designing IntegrationsFind the right people with the right skills. This book clarifies best practices for creating high-functioning data integration teams, enabling you to understand the skills and requirements, documents, and solutions for planning, designing, and monitoring both one-time migration and daily integration systems.
By Jarrett Goldfedder
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Building a Scalable Data Warehouse with Data Vault 2.0Explaining everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer, this book discusses how to build the data warehouse incrementally using the agile Data Vault 2.0 methodology.
By Daniel Linstedt, Michael Olschimke
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Building Big Data ApplicationsHelping data managers and their organizations make the most of unstructured data with an existing data warehouse, this book provides readers with what they need to know to make sense of how Big Data fits into the world of Data Warehousing.
By Krish Krishnan
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Building Ontologies with Basic Formal OntologyProviding an introduction to the field of applied ontology that is of particular relevance to biomedicine, this thorough book covers theoretical components of ontologies, best practices for ontology design, and examples of biomedical ontologies in use.
By Andrew D. Spear, Barry Smith, Robert Arp
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Business Information Warehouse for SAPThis title will be removed from the Skillsoft library on May 24, 2024.
By Naeem Hashmi
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Business Intelligence Strategy and Big Data Analytics: A General Management PerspectiveIncluding exercises and case studies with road-tested advice, this book provides ideas for improving the business performance of one's company or business functions, and emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies.
By Steve Williams
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Cloudera 34 Success Secrets - 34 Most Asked Questions On Cloudera - What You Need To KnowOffering a thorough view of key knowledge and detailed insight, this guide examines commercial open-source applications; commercially supported Hadoop-related products; Cloudera products and services; the Cloudera ecosystem; Cloudera Impala; and much more.
By Patrick Foreman
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Cognitive Computing and Big Data AnalyticsFeaturing detailed case examples from the financial, healthcare, and manufacturing industries, this comprehensive guide will help technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming.
By Adrian Bowles, Judith Hurwitz, Marcia Kaufman
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Complete Guide to Open Source Big Data StackDescribing the step-by-step construction of a real-world big data stack from open source software, this book builds a data stack and recounts the process, including successes, failures, and lessons learned.
By Michael Frampton
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Confident Data Skills: How to Work with Data and Futureproof Your Career, Second EditionWhether you're an entrepreneur wanting to boost your business, a jobseeker looking for that employable edge, or simply hoping to make the most of your current career, this book is here to help.
By Kirill Eremenko
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Configuring SAP ERP Financial and ControllingFor anyone who wants to understand how to implement FI/CO, this practical guide provides hands-on, step-by-step instructions and real-world examples for the most frequently used FI and CO submodules found in SAP ECC 6.0.
By John Burger, Peter Jones
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Configuring SAP ERP Sales and DistributionProviding in-depth configuration of the Sales and Distribution (SD) module in the latest version of SAP ERP, this valuable resource presents you with step-by-step instruction, conceptual explanations, and plenty of examples.
By Ashutosh Mutsaddi, Kapil Sharma
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Cracking the SAP S/4HANA Interview: Get Your Dream Job Today with Intelligent Responses to the EmployerThis book will guide you through the process about what you need to know and help you perform at your highest level to achieve SAP S/4 HANA and some of the best practices available today.
By Sudipta Malakar
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Creating Business Agility: How Convergence of Cloud, Social, Mobile, Video, and Big Data Enables Competitive AdvantageUsing a series of case studies as examples throughout, this book describes the agility that comes from collaborative commerce, and provides key decision makers the implementation roadmap they need to build a successful business ecosystem.
By Alakh Verma, Rodney Heisterberg
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Custom Fiori Applications in SAP HANA: Design, Develop, and Deploy Fiori Applications for the EnterpriseGet started building custom Fiori applications for your enterprise. This book teaches you how to design, build, and deploy enterprise-ready, custom Fiori applications in SAP HANA.
By Sergio Guerrero
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Data Analysis for Business Decision Making: A Laboratory Manual, Second EditionTeaching the statistical analysis skills needed to support business decisions, this book provides projects ranging from the most basic descriptive analytical techniques to more advanced techniques such as linear regression, forecasting, inferential statistics, and more.
By Andres Fortino
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Data Analyst: Careers in Data AnalysisData is constantly increasing and data analysts are in higher demand than ever. This book is an essential guide to the role of data analyst.
By Rune Rasmussen, et al.
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Data and Analytics Strategy for Business: Unlock Data Assets and Increase Innovation with a ResultsDriven Data StrategyData and Analytics Strategy for Business outlines how to build consistent, high-quality sources of data which will create business value and explores how automation, AI and machine learning can improve performance and decision making.
By Simon Asplen-Taylor
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Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data VaultDrawing upon years of practical experience and using numerous examples and an easy to understand framework, this timely guide defines the importance of data architecture and how it can be used effectively to harness big data within existing systems.
By Daniel Linstedt, W.H. Inmon
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BOOK SUMMARY
Data Crush: How the Information Tidal Wave is Driving New Business OpportunitiesData Crush is a unique guide for staying ahead of the game in the new information age. In this Summary, we discuss the salient points of the book based on our interpretation of its contents.
By Christopher Surdak
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Data Ethics: Practical Strategies for Implementing Ethical Information Management and Governance, Second EditionLearn how organizational data can be governed according to ethical principles with this practical guide.
By Daragh O Brien, Katherine O'Keefe
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Data Governance: How to Design, Deploy and Sustain an Effective Data Governance Program, Second EditionOffering a complete overview of the data governance lifecycle, this book provides a framework and case studies that will enable you to launch your very own successful and money saving data governance program.
By John Ladley
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Data Mapping for Data Warehouse DesignBased on the author's years of real-world experience designing solutions, this book covers all stages of data warehousing and the role of data mapping, and includes data mapping strategies and techniques that can be applied to business use cases.
By Qamar Shahbaz Ul Haq
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Data Mesh in ActionData Mesh in Action teaches you pragmatic ways to decentralize your data and organize it into an effective data mesh. You'll start by building a minimum viable data product, which you'll expand into a self-service data platform, chapter-by-chapter.
By Jacek Majchrzak, Marian Siwiak, Sven Balnojan
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Data Mining and Data Warehousing, BPB Publications (c) 2015Providing comprehensive coverage of various aspects of data mining and warehousing concepts, this book offers examples, diagrams, and questions in a simple language, a crystal clear approach, and a straightforward comprehensible presentation.
By Akash Saxena, Khushboo Saxena, Sandeep Saxena
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Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner, Third EditionPresenting an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies, this book features coverage on text mining, social network analysis, collaborative filtering, ensemble methods, uplift modeling, and more.
By Galit Shmueli, Nitin R. Patel, Peter C. Bruce
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Data Processing and Modeling with HadoopThe book describes the standards and technologies that aid in data management and compares them to other technology business standards. The reader receives practical guidance on how to segregate and separate data into zones, as well as how to develop a model that can aid in data evolution.
By Vinicius Aquino do Vale
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Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting DataSupported and explained with examples that you can replicate using open-source software, this insightful book focuses on concepts, principles and practical applications that are applicable to any industry and technology environment.
By EMC Education Services
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BOOK SUMMARY
Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of ThingsThe title will be removed from the Skillsoft Library on March 6, 2025.
By Bernard Marr
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Book
Data Teams: A Unified Management Model for Successful Data-Focused TeamsLearn how to run successful big data projects, how to resource your teams, and how the teams should work with each other to be cost effective. This book introduces the three teams necessary for successful projects, and what each team does.
By Jesse Anderson
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Book
Data Warehouse and Data Mining: Concepts, techniques and real life applicationsFrom aspiring data analysts, data professionals, IT managers, to business intelligence practitioners, this book caters to a diverse audience
By Dr. Jugnesh Kumar
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Book
Data Warehouse Systems: Design and ImplementationWith extensive coverage of all data warehouse issues, ranging from basic technologies to the most recent findings and systems, this book illustrates the concepts with an on-going example based on the North wind database using Microsoft Analysis Services and Pentaho Business Analytics.
By Alejandro Vaisman, Esteban Zimányi
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Book
Data Warehousing for Biomedical InformaticsProviding several examples from real organizations, this book is a step-by-step how-to guide for designing and building an enterprise-wide data warehouse across a biomedical or healthcare institution, using a four-iteration lifecycle and standardized design pattern.
By Richard E. Biehl
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Book
Data Warehousing in the Age of Big DataHelping you navigate through the complex layers of Big Data and data warehousing, this practical and timely book provides information on how to effectively think about using all of the technologies and architectures to design the next-generation data warehouse.
By Krish Krishnan
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Book
Databricks Lakehouse Platform Cookbook: 100+ Recipes for Building a Scalable and Secure Databricks LakehouseThis book is meant for Data Engineers, Data Analysts, Data Scientists, Business intelligence professionals, and Architects who want to go to the next level of Data Engineering using the Databricks platform to construct Lakehouses.
By Dr. Alan L. Dennis
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Book
Dealing With Data Pocket PrimerThis book is designed to introduce the reader to the basic concepts of managing data using a variety of computer languages and applications.
By Oswald Campesato
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Book
Designing Big Data Platforms: How to Use, Deploy, and Maintain Big Data SystemsThis book helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more.
By Yusuf Aytas
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Book
Digital Disciplines: Attaining Market Leadership via the Cloud, Big Data, Social, Mobile, and the Internet of ThingsUsing non-technical language, this informative book provides a strategy framework, empirical data, case studies, deep insights, and pragmatic steps for any enterprise to follow and attain market leadership in today's digital era.
By Joe Weinman
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Book
Distributed Computing in Big Data Analytics: Concepts, Technologies and ApplicationsAddressing the key aspects of distributed processing in big data analytics, this valuable book tackles the essential concepts and patterns of distributed computing widely used in big data analytics.
By Ganesh Chandra Deka (eds), Robin Singh Bhadoria, Sourav Mazumder
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Book
Empower Decision Makers with SAP Analytics Cloud: Modernize BI with SAP's Single Platform for AnalyticsDiscover the capabilities and features of SAP Analytics Cloud to draw actionable insights from a variety of data, as well as the functionality that enables you to meet typical business challenges.
By Shreekant Shiralkar, Vinayak Gole
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Book
Enterprise Business Intelligence and Data Warehousing: Program Management EssentialsCovering best practices for managing and leading an enterprise-scale business intelligence (BI) and data warehousing (DW) program, this essential book describes what the Enterprise Program Manager must accomplish to orchestrate the many moving parts involved.
By Alan Simon
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Book
Enterprise Information Management in Practice: Managing Data and Leveraging Profits in Today's Complex Business EnvironmentExplaining concepts in simple English with minimal use of jargon, this concise book covers each of the pillars of Enterprise Information Management (EIM) in depth, and provides readers with a comprehensive view of the building blocks for EIM.
By Saumya Chaki
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Book
Enterprise Java for SAPThis book is specifically targeted at developers who are fluent in SAP's programming language, ABAP, and are looking to learn the Java language. The author explores SAP, JavaServer Pages, JDBC, and Enterprise Java Beans.
By Austin Sincock
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Book
Entity Information Life Cycle for Big Data: Master Data Management and Information IntegrationProviding practical tips and techniques for implementing an EIMS, strategies for exploiting distributed processing to handle big data for EIMS, and examples from real applications, this book explains big data's impact on MDM and the critical role of entity information management system (EIMS) in successful master data management (MDM).
By John R. Talburt, Yinle Zhou
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Book
Executing Data Quality Projects: Ten Steps to Quality Data and Trusted InformationIncluding numerous templates, detailed examples, and practical advice, this book presents a systematic, proven approach to improving data quality by combining a conceptual framework for understanding information quality with techniques and instructions.
By Danette McGilvray
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Book
Fighting Churn with Data: The Science and Strategy of Customer RetentionPacked with real-world use cases and examples, this book teaches you to convert raw data into measurable behavior metrics, calculate customer lifetime value, and improve churn forecasting with demographic data.
By Carl Gold
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Book
Fintech Fundamentals: Big Data / Cloud Computing / Digital EconomyThe book serves as a comprehensive introduction and background to anyone who is interested in the subject in order to do further research on the individual subjects included here.
By Len Mei
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Book
Fundamentals of Big Data Network Analysis for Research and IndustryFeaturing case studies drawn largely from the iron and steel industries, this practical book looks at big data from a fresh perspective, and focuses on the fundamental techniques required to extract essential information from vast datasets.
By Hyunjoung Lee, Il Sohn
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Book
Generating Value from Big DataAuthored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This Knowledge Sharing article provides an overview of Big Data.
By Babu Analakkat
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Book
Getting Structured Data from the Internet: Running Web Crawlers/Scrapers on a Big Data Production ScaleUtilize web scraping at scale to quickly get unlimited amounts of free data available on the web into a structured format. This book teaches you to use Python scripts to crawl through websites at scale and scrape data from HTML and JavaScript-enabled pages and convert it into structured data formats.
By Jay M. Patel
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Book
Hadoop Architecture and SQL: The Best HiveQL Book in the UniverseIncluding hundreds of pages of SQL examples and explanations, this book is perfect for anyone who wants to query Hadoop with SQL and educates readers on how to create tables, how the data is distributed, and how the system processes the data.
By Jason Nolander, Tom Coffing
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Book
Hadoop for DummiesShowing you how to harness the power of your data and rein in the information overload, this detailed guide will help you understand the value of big data, make a business case for using Hadoop, navigate the Hadoop ecosystem, and build and manage Hadoop applications and clusters.
By Dirk deRoos, et al.
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Book
Handbook of Data Structures and Applications, Second EditionFocusing on theoretical aspects of data structures as well as their applications, this book provides a comprehensive survey of data structures of various types, and offers background information for readers with no formal training in computer science.
By Dinesh P. Mehta, Sartaj Sahni (eds)
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Book
Handbook of Digital Currency: Bitcoin, Innovation, Financial Instruments, and Big DataTaking a cross-country perspective, this book offers a comprehensive view of the field including history, technicality, IT, finance, economics, legal, tax and regulatory environments, and discusses all major strategies and tactics associated with digital currencies, their uses, and their regulations.
By David Lee Kuo Chuen (ed)
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Book
Handbook of SCADA/Control Systems SecurityExamining topics comprising functions within and throughout industrial control systems (ICS) environments, this book presents a best practices approach to securing business management environments at the strategic, tactical, and operational levels.
By Jacob Brodsky (eds), Robert Radvanovsky
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Book
Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data ProcessingThis book explains how to scale Apache Spark 3 to handle massive amounts of data, either via batch or streaming processing. It covers how to use Spark's structured APIs to perform complex data transformations and analyses you can use to implement end-to-end analytics workflows.
By Alfonso Antolínez García
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Book
Harness Oil and Gas Big Data with Analytics: Optimize Exploration and Production with Data Driven ModelsIncluding a compendium of specific case studies, the book underscores the acute need for optimization in the oil and gas exploration and production stages and shows how data analytics can provide such optimization.
By Keith R. Holdaway
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Book
High-Performance Big Data ComputingAn in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep learning.
By Dhabaleswar K. Panda, Dipti Shankar, Xiaoyi Lu
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Book
Humanizing Big Data: Marketing at the Meeting of Data, Social Science and Consumer InsightOffering advice on how to interpret and incorporate data into an organization's overall marketing strategy, this practical book will help marketers seize the opportunity to see how big data can be used to understand consumers in new and exciting ways.
By Colin Strong
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Book
Implementing SAP CRM: The Guide for Business and Technology ManagersProviding a comprehensive framework and plan for the successful implementation of a SAP CRM, this detailed book covers the complete SAP CRM project cycle, from the prerequisites to the five phases of the SAP ASAP implementation methodology.
By Vivek Kale
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Book
Implementing SAP ERP Sales & DistributionPacked with tested, time-saving tips and advice, this hands-on guide will show you how to use SAP ERP Central Component 5.0 and 6.0 to create sales documents and contracts, control material and customer master data, schedule deliveries, and automate billing.
By Glynn C. Williams
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Book
Implementing SAP Sales and DistributionInside this book you'll get complete information on the ins and outs of the R/3 system software, including basic functions, sales document flow, invoicing, and how the S&D module interfaces with other modules.
By Glynn C. Williams
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Book
Implementing Splunk: Big Data Reporting and Development for Operational IntelligenceWith valuable examples and practical instructions, this book provides a step-by-step implementation tutorial that equips you with high-level knowledge of configuring, deploying, extending, and integrating Splunk to bring machine-generated operational intelligence to your advantage.
By Vincent Bumgarner
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Book
Information Nation: Seven Keys to Information Management ComplianceWith expert advice and insight, this fully updated edition demonstrates how businesses can succeed in creating a new culture of information management compliance (IMC) by incorporating an IMC philosophy into a corporate governance structure.
By Barclay Blair, Randolph Kahn
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Book
Information Systems for Healthcare Management, Eighth EditionFeaturing learning objectives, web resources, and discussion questions, this up-to-date book provides readers with the comprehensive knowledge necessary to understand healthcare information technology (HIT) and to hone their skills in HIT management.
By Detlev H. Smaltz, Donna J. Slovensky, Gerald L. Glandon
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Book
Information Systems for Knowledge ManagementMore and more organizations are becoming aware of the importance of tacit and explicit knowledge owned by their members which corresponds to their experience and accumulated knowledge about the firm activities. This book explains how firms can create activities to enhance identification, preservation, and use of this knowledge as a powerful mean to improve the level of economical performance of the organization.
By Camille Rosenthal-Sabroux, Faïez Gargouri (eds), Inès Saad
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Book
Innovative SAP SuccessFactors Recruiting: A Guide to Creating Custom Integration and AutomationGet creative and optimize your SAP SuccessFactors Recruiting implementation with this guide, which examines a variety of integration and automation opportunities throughout the recruiting process outside of the standard integrations.
By Anand ‘Andy’ Athanur, Michael A. Wellens
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Book
Integrity Constraints on Rich Data TypesThis book examines the recent trend of extending data dependencies to adapt to rich data types in order to address variety and veracity issues in big data.
By Lei Chen, Shaoxu Song
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Book
Introducing .NET for Apache Spark: Distributed Processing for Massive DatasetsGet started using Apache Spark via C# or F# and the .NET for Apache Spark bindings. This book shows you techniques that will allow you to use Apache Spark to distribute your data processing tasks over multiple compute nodes.
By Ed Elliott
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Book
Introduction to ABAP Programming for SAP, Third EditionThis title will be removed from the Skillsoft library on May 24, 2024.
By Dhruv Kashyap, Gareth de Bruyn, Mark Balleza, Robert Lyfareff
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Book
Introduction to Integration Suite Capabilities: Learn SAP API Management, Open Connectors, Integration Advisor and Trading Partner ManagementDiscover the power of SAP Integration Suite's capabilities with this hands-on guide.
By Jaspreet Bagga
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Book
JavaScript Essentials for SAP ABAP Developers: A Guide to Mobile and Desktop Application DevelopmentWith sample code and screenshots to help you fully understand JavaScript (JS), this quick guide will help you to easily master JS and develop mobile and desktop applications for SAP Fiori, while equipping ABAP/SAP developers with the essential topics to get started with JS.
By Rehan Zaidi
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Book
Large Scale and Big Data: Processing and ManagementAddressing the fundamental challenges associated with Big Data processing tools and techniques across a range of computing environments, this comprehensive book discusses the basic concepts and tools of large-scale Big Data processing and cloud computing, and provides an overview of different programming models and cloud-based deployment models.
By Mohamed Medhat Gaber (eds), Sherif Sakr
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Book
Learn dbatools in a Month of Lunches: Automating SQL Server Tasks with PowerShell CommandsIf you work with SQL Server, dbatools is a lifesaver. This book will show you how to use this free and open source PowerShell module to automate just about every SQL server task you can imagine-all in just one month!
By Chrissy LeMaire, Cláudio Silva, Jess Pomfret, Rob Sewell
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Book
Linked Open Data: Creating Knowledge Out of Interlinked Data: Results of the LOD2 ProjectPresenting an overview on the results of the research project "LOD2 - Creating Knowledge out of Interlinked Data," a large-scale integrating project co-funded by the European Commission within the FP7 Information and Communication Technologies Work Program, this book provides a pragmatic approach for realizing the Semantic Web vision of making the Web a global, distributed, semantics-based information system.
By Sören Auer (eds), et al.
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Book
Loyalty 3.0: How Big Data And Gamification Are Revolutionizing Customer And Employee EngagementIncluding case studies from innovative companies that are already driving customer engagement, learning and skill development, and employee motivation with Loyalty 3.0 methods, this book reveals how to use behavioral economics, big data, social media, and gamification to inspire loyalty that lasts.
By Rajat Paharia
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Book
Management Information Systems: Moving Business Forward, Second EditionUtilizing flexible Learning Units comprised of tightly coupled concepts and Student Activities, the authors transport students from passively learning about IS to doing IS in a realistic context.
By Brad Prince, Hugh Watson, R. Kelly Rainer, Jr.
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Book
Managing Data Quality: A Practical GuideExplaining data quality management in practical terms, this book focuses on three key areas - the nature of data in enterprises, the purpose and scope of data quality management, and implementing a data quality management system, in line with ISO 8000-61.
By Julian Schwarzenbach, Tim King
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Book
Managing Datasets and ModelsThis book contains a fast-paced introduction to data-related tasks in preparation for training models ondatasets. It presents a step-by-step, Python-based code sample that uses the kNN algorithm to manage a model on a dataset.
By Oswald Campesato
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Book
Managing Electronic Records: Methods, Best Practices, and TechnologiesFilled with current, critical information on e-records management methods, emerging best practices, and key technologies, this book reveals step-by-step guidance for organizing, managing, protecting, and preserving electronic records.
By Robert F. Smallwood
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Book
Manufacturing Performance Management using SAP OEE: Implementing and Configuring Overall Equipment EffectivenessExplaining how to configure, implement, enhance, and customize SAP OEE to address manufacturing performance management, this book will show you how to connect your business processes with your plant systems and how to integrate SAP OEE with ERP through standard workflows and shop floor systems for automated data collection.
By Dipankar Saha, Mahalakshmi Syamsunder, Sumanta Chakraborty
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Book
Master Data Management and Customer Data Integration for a Global EnterpriseHelping you gain a complete and timely understanding of your customers using MDM-CDI, this comprehensive volume explains how to grow revenue, reduce administrative costs, and improve client retention by adopting a customer-focused business framework.
By Alex Berson, Lawrence Dubov
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Book
Mastering Databricks Lakehouse Platform: Perform Data Warehousing, Data Engineering, Machine Learning, DevOps, and BI into a Single PlatformThis book is for every data professional, including data engineers, ETL developers, DB administrators, Data Scientists, SQL Developers, and BI specialists. You don't need any prior expertise with this platform because the book covers all the basics.
By Anjani Kumar, Sagar Lad
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Book
Mastering the SAP Business Information WarehouseWritten by the leading experts in the field, this comprehensive guide shows you how to implement the SAP Business Information Warehouse (BW) and create useful applications for business analysis of company-wide data.
By Kevin McDonald, et al.
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Book
Mastering the SAP Business Information Warehouse, Second Edition: Leveraging the Business Intelligence Capabilities of SAP NetWeaverWritten by SAP insiders, this comprehensive guide takes into account the ever-changing features, functionality, and toolsets of SAP NetWeaver to describe how to use SAP BW to design, build, deploy, populate, access, analyze, present, and administer data.
By Andreas Wilmsmeier, David C. Dixon, Kevin McDonald, W. H. Inmon
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Book
Microsoft Azure SQL Data Warehouse: Architecture and SQL (Book 18)Including numerous SQL examples and explanations, this book details the architecture of the Azure SQL Data Warehouse and the SQL commands available, and educates readers on how to create tables and indexes, how the data is distributed, and how the system process the data.
By Todd Wilson, Tom Coffing
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Book
Microsoft Big Data SolutionsFocusing primarily on Microsoft and HortonWorks technologies but also covering open source tools, this timely book explains best practices, covers on-premises and cloud-based solutions, and features valuable case studies.
By Adam Jorgensen, et al.
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Book
Migrating to SAP BW/4HANAMaster your SAP BW/4HANA migration with this hands-on guide! Plan your system conversion and decide which option-remote, shell, or in-place-best meets your business needs. Review prerequisites and then dive into the migration process.
By Renjith Kumar Palaniswamy
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Book
Modern Big Data Architectures: A Multi-Agent Systems PerspectiveWith practical examples and detailed solutions suitable for a wide variety of applications, this unique, up-to-date volume provides joint analysis of big data and multi-agent systems, with emphasis on distributed, intelligent processing of very large data sets.
By Dominik Ryżko
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Book
Modern Data Engineering with Apache Spark: A Hands-On Guide for Building Mission-Critical Streaming Applications, 1st EditionThis book will teach you to write interactive Spark applications using Apache Zeppelin notebooks, write and compile reusable applications and modules, and fully test both batch and streaming.
By Scott Haines
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Book
mySAP ERP for DummiesNeed to stay competitive and reduce your costs? This to-the-point, user-friendly guide will help you identify and solve business problems with SAP Analytics, gain flexibility through ESA, utilize industry-specific ERP solutions, and more.
By Andreas Vogel, Ian Kimbell
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Book
Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala, and SparkUtilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies.
By Butch Quinto
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Book
Obtaining Value from Big Data for Service DeliveryBy explaining what big data is, this book will show you how to recognize, collect, process, and analyze it; how to store and manage it; how to obtain useful information from it; and how to assess its contribution to operational, tactical, and strategic decision-making in service-oriented organizations.
By Frank Armour, J. Alberto Espinosa, Stephen H. Kaisler, William H. Money
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Book
Optimize Your Greatest Asset: Your People: How to Apply Analytics to Big Data to Improve Your Human Capital InvestmentsPacked with practical examples and case studies, this detailed guide brings advanced analytics into Human Resources, giving you a framework for optimizing human capital investments through predictive analysis.
By Gene Pease
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Book
Planning and Reporting in BI-supported Controlling: Fundamentals, Business Intelligence, Mobile BI, Big Data Analytics and AIThis practice-oriented book shows step by step how things can be done differently.
By Dietmar Schön
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Book
PLCs & SCADA: Theory and PracticeTheoretical, yet practical, this book provides a comprehensive theoretical, yet practical, look at all aspects of PLCs and their associated devices and systems.
By Rajesh Mehra, Vikrant Vij
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Book
PolyBase Revealed: Data Virtualization with SQL Server, Hadoop, Apache Spark, and BeyondCovering data sources such as Apache Hadoop, Azure Blob Storage, Apache Spark, Cosmos DB, and more, this book will help you keep your skills current, remain relevant, and build new business and career opportunities around Microsoft's product direction.
By Kevin Feasel
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Book
Power Excel with MrExcel: 617 Excel Mysteries Solved, 2017 EditionBased on real questions from author Bill Jelen's Power Excel Seminars, this lighthearted yet practical book discusses 617 of the most common and irritating problems in Excel, and provides the solutions you need to solve the problems.
By Bill Jelen
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Book
Practical Apache Spark: Using the Scala APIFollowing a learn-to-do-by-yourself approach to teaching Apache Spark using Scala, this book will help you learn the concepts, practice the code snippets in Scala, and complete the assignments given to get an overall exposure.
By Dharanitharan Ganesan, Subhashini Chellappan
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Book
Practical Concurrent Haskell: With Big Data ApplicationsTeaching you how to use the APIs and frameworks for parallel and concurrent applications in Haskell, this book will show you how to exploit multicore processors with the help of parallelism in order to increase the performance of your applications.
By Marius Mihailescu, Stefania Loredana Nita
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Book
Practical Data Migration, Third EditionFor executives and practitioners tasked with the movement of data from old systems to a new repository, this book uses a series of steps developed in real life situations that will get the reader from an empty new system to one that is working and backed by the user population.
By Johny Morris
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Book
Practical Enterprise Data Lake Insights: Handle Data-Driven Challenges in an Enterprise Big Data LakeUse this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues.
By Saurabh Gupta, Venkata Giri
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Book
Practical Hadoop Ecosystem: A Definitive Guide to Hadoop-Related Frameworks and ToolsFrom setting up the environment to running sample applications, this step-by-step resource is a practical tutorial on using the Apache Hadoop ecosystem project.
By Deepak Vohra
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Book
Practical Hadoop Migration: How to Integrate Your RDBMS with the Hadoop Ecosystem and Re-Architect Relational Applications to NoSQLContaining many different examples from the Hadoop ecosystem, this book covers the best-practice design approaches to re-architecting your relational applications and transforming your relational data to optimize concurrency, security, denormalization, and performance.
By Bhushan Lakhe
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Book
Practical Hadoop SecurityFor administrators planning a production Hadoop deployment who want to secure their Hadoop clusters, this resource takes you through a comprehensive study of how to implement defined security within a Hadoop cluster in a hands-on way.
By Bhushan Lakhe
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Book
Practical Hive: A Guide to Hadoop's Data Warehouse SystemFrom deploying Hive on your hardware or virtual machine and setting up its initial configuration to learning how Hive interacts with Hadoop, MapReduce, Tez and other big data technologies, this go-to resource gives you a detailed treatment of the software.
By Andreas François Vermeulen, Ankur Gupta, David Kjerrumgaard, Scott Shaw
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Book
Practical Machine Learning with Spark: Uncover Apache Spark's Scalable Performance with High-Quality Algorithms Across NLP, Computer Vision and MLThis book is valuable for data engineers, machine learning engineers, data scientists, data architects, business analysts, and technical consultants worldwide.
By Dr. Inder Singh Gupta, Dr. Manish Gupta, Mr. Gourav Gupta
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Book
Practical Splunk Search Processing Language: A Guide For Mastering SPL Commands for Maximum Efficiency and OutcomeUse this practical guide to the Splunk operational data intelligence platform to search, visualize, and analyze petabyte-scale, unstructured machine data. Get to the heart of the platform and use the Search Processing Language (SPL) tool to query the platform to find the answers you need.
By Karun Subramanian
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Book
Pragmatic Enterprise Architecture: Strategies to Transform Information Systems in the Era of Big DataSharing life cycle architectures, transaction path analysis frameworks, and more, this complete guide equips you with the tools and knowledge you need to address the most common enterprise architecture challenges so you can accomplish your goals in less time with fewer resources.
By James V. Luisi
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Book
Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and MethodsHelping managers make the most of data technologies in their business area, this easy to read, in-depth guide provides readers with a solid understanding of predictive analytics, and how it should be applied to improve business decision-making and operational efficiency.
By Steven Finlay
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Book
Predictive Marketing: Easy Ways Every Marketer Can Use Customer Analytics and Big DataOffering practical tips and actionable strategies for implementing more personalized marketing immediately, this book provides the information and insight you need to lift your organization out of the campaign rut and into the rarefied atmosphere of a truly personalized customer experience.
By Dominique Levin, Ömer Artun
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Book
Preventing Litigation: An Early Warning System to Get Big Value out of Big DataIncluding a scientific approach and data to support the theories, this book explains how to build an early warning system to identify the risk of litigation before the damage is done, and proves that there is big value in less litigation.
By Nelson E. Brestoff, William H. Inmon
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Book
Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second EditionBringing a set of techniques and algorithms that are tailored to Big Data projects, this book offers case studies across a range of scientific and engineering disciplines and provides insights into semantics, identification, de-identification, vulnerabilities and regulatory/legal issues.
By Jules J. Berman
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Book
Pro Apache Hadoop, Second EditionTaking you quickly to the seasoned pro level on the hottest cloud-computing framework, this book covers everything you need to build your first Hadoop cluster and begin analyzing and deriving value from your business and scientific data.
By Jason Venner, Madhu Siddalingaiah, Sameer Wadkar
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Book
Pro Apache Phoenix: An SQL Driver for HBaseProviding examples using real-time data and data-driven businesses that show you how to collect, analyze, and act in seconds, this book shows you the basics and best practices that are being adopted in Phoenix to enable a high write and read throughput in a big data space.
By Ravi Magham, Shakil Akhtar
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Book
Pro HadoopWritten from the perspective of a principal engineer with down-in-the-trenches knowledge of what to do wrong with Hadoop, this book shows how to avoid the common, expensive first errors that everyone makes with creating their own Hadoop system.
By Jason Venner
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Book
Pro Hadoop Data Analytics: Designing and Building Big Data Systems using the Hadoop EcosystemEmphasizing best practices to ensure coherent, efficient development, this book provides the right combination of architecture, design, and implementation information to create analytical systems that go beyond the basics of classification, clustering, and recommendation.
By Kerry Koitzsch
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Book
Pro SAP Scripts, Smartforms, and Data Migration: Sushil MarkandeyaProviding specially crafted hands-on exercises covering real business scenarios, this in-depth book will help you decode the complexities and intricacies of SAP ABAP programming.
By Sushil Markandeya
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Book
Pro Spark Streaming: The Zen of Real-Time Analytics Using Apache SparkIntroducing use cases in each chapter from a specific industry, and using publicly available datasets from that domain to unravel the intricacies of production-grade design and implementation, this book walks you through end-to-end real-time application development using real-world applications, data, and code.
By Zubair Nabi
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Book
Processing Big Data with Azure HDInsight: Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop EcosystemAs most Hadoop and Big Data projects are written in either Java, Scala, or Python, this book minimizes the effort to learn another language and is written from the perspective of a .NET developer.
By Vinit Yadav
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Book
Production Variance Analysis in SAP S/4HANATo effectively plan production costs, you know that guesswork and projections aren't enough. Optimize your production processes-and increase profitability-with this guide to production variance analysis in SAP S/4HANA.
By Janet Salmon, John Jordan
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Book
Professional HadoopServing as the complete reference and resource for experienced developers looking to employ Apache Hadoop in real-world settings, this guide details every aspect of Hadoop technology to enable optimal processing of large data sets, and gets you acquainted with the framework's processes and capabilities right away.
By Benoy Antony, et al.
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Book
Professional Hadoop SolutionsWith in-depth code examples in Java and XML and the latest on recent additions to the Hadoop ecosystem, this complete resource also covers the use of APIs, exposing their inner workings and allowing architects and developers to better leverage and customize them.
By Alexey Yakubovich, Boris Lublinsky, Kevin T. Smith
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Book
Professional Sitecore 8 Development: A Complete Guide to Solutions and Best PracticesProviding a soup-to-nuts approach for a Sitecore rookie to come up to speed quickly, this unique book also offers more advanced techniques for seasoned veterans that they may not be exposed to otherwise.
By Jason Wilkerson, Phil Wicklund
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Book
Profit-Driven Business Analytics: A Practitioner's Guide to Transforming Big Data into Added ValueCombining theoretical and technical insights into daily operations and long-term strategy, this step-by-step book acts as a development manual for practitioners seeking to conceive, develop, and manage advanced analytical models.
By Bart Baesens, Cristián Bravo, Wouter Verbeke
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Book
PySpark Recipes: A Problem-Solution Approach with PySpark2Taking you on an interesting journey to learn about PySpark and big data, this book uses a problem-solution approach where every problem is followed by a detailed, step-by-step answer which will improve your thought process for solving big data problems with PySpark.
By Raju Kumar Mishra
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Book
Querying Databricks with Spark SQL: Leverage SQL to Query and Analyze Big Data for InsightsThe book covers everything from basic queries to complex data-processing tasks. It begins with an introduction to SQL and Spark.
By Adam Aspin
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Book
Real Time Searching of Big Data Using Hadoop, Lucene, and SolrAuthored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article contains an overview of how the distributed computing framework, Hadoop can be integrated with powerful search engine Solr.
By Dibyendu Bhattacharya
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Book
Real-time Analytics with Storm and CassandraIncluding different methods that you can use to manage and maintain Cassandra and Storm, this book will teach you how to use Storm for real-time data processing and to make your applications highly available with no downtime using Cassandra.
By Shilpi Saxena
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Book
Real-Time Data Analytics for Large Scale Sensor Data: Advances in Ubiquitous Sensing Applications for Healthcare, Volume SixPresenting the leading-edge research in the field and the future challenges in this fledging research area, this book examines IoT applications, the design of real-time intelligent systems, and how to manage the rapid growth of the large volume of sensor data.
By Amira S. Ashour, Himansu Das (eds), Nilanjan Dey, Simon James Fong
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Book
SAP ABAP HandbookIncluding a complete glossary to help readers understand the myriad terms and programming issues associated with this language, this comprehensive reference includes all the major concepts related to ABAP programming.
By Kogent Learning Solutions, Inc.
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Book
SAP ABAP Questions and AnswersDesigned as an introduction to the basics of ABAP or as a quick certification review, this book guides the reader through the intricacies of this programming language used by SAP components and applications.
By Kogent Learning Solutions, Inc.
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Book
SAP ABAP: Hands-On Test Projects with Business ScenariosVoid of theoretical treatments and preoccupation with language syntax, this reference is a comprehensive, practical one-stop solution, which demonstrates and conveys the language's commands and features through hands on examples.
By Kaushik Roy, Sushil Markandeya
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SAP Basis Administration Handbook, NetWeaver EditionDelivering integrated management strategies covering both ABAP and Java stacks, this comprehensive, practical resource features detailed implementation, maintenance, and support information to help you get peak performance from your SAP ERP infrastructure.
By Ranjit Mereddy
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SAP Business Analytics: A Best Practices Guide for Implementing Business Analytics Using SAPIncluding example implementations of SAP business analytics, the challenges faced, and the solutions implemented, this book explains both the strategy and technical implementation for gathering and analyzing all the information pertaining to an organization.
By Sudipa DuttaRoy
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Book
SAP Business Information Warehouse Reporting: Building Better BI with SAP BI 7.0Give your company the competitive edge by delivering up-to-date, pertinent business reports to users inside and outside your enterprise. This definitive guide shows you how to construct Enterprise Data Warehouses, create workbooks and queries, and more.
By Peter Jones
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Book
SAP Business Objects BI 4.0: The Complete Reference, Third EditionIllustrated by screenshots, diagrams, and step-by-step instructions, this guide shows you how to unleash the full potential of business intelligence with fact-based decisions, aligned to business goals, using reports and dashboards that lead from insight to action.
By Cindi Howson, Elizabeth Newbould
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Book
SAP CO ControllingIncluding more than 450 questions and over 200 illustrations and screenshots, this book explains the important concepts and terms used in SAP Controlling (CO), and provides several consulting, configuration, and usage tips on a variety of application components within CO.
By V. Narayanan
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Book
SAP Enterprise Architecture: A Blueprint for Executing Digital TransformationA detailed step-by-step guide teaches you how to utilize SAP Enterprise Architecture Designer to model the four key areas: business, data, landscape, and requirements.
By Sheunopa Chalmers Musukutwa
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SAP Enterprise Portfolio and Project Management: A Guide to Implement, Integrate, and Deploy EPPM Solutions, 1st EditionThis book covers various business scenarios from different industries including the public sector, engineering and construction, professional services, telecom, mining, chemical, and pharmaceutical.
By Joseph Alexander Soosaimuthu
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Book
SAP ERP Financial Accounting and Controlling: Configuration and Use ManagementTaking a jargon-free tone and providing an abundance of examples, this comprehensive and easy-to-follow resource provides a clear understanding of configuration techniques and the breadth of functionalities encompassed by SAP FICO.
By Andrew Okungbowa
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SAP ERP Financials and FICO HandbookHelping the reader through the most popular SAP module, this book includes material on SAP ERP Financials, SAP FICO, and SAP R/3 and covers fifty common business situations related to ERP Financials/FICO along with the practical solutions.
By S. N. Padhi
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SAP ERP Financials Quick Reference Guide: SAP ECC 6.0Guiding readers through the most popular SAP module, this up-to-date, quick reference covers configurations and end user transactions for validating the implementation methods, as well as provides Q&A for certification exams.
By Surya Padhi
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Book
SAP FI: Financial Accounting - ERP ECC6, R/3 4.70Featuring an easy-to-understand Q & A format with configuration, consulting, and usage tips, this book explains the important concepts and terms used in SAP Financial Accounting (FI), and provides you with a variety of application components within FI.
By V. Narayanan
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Book
SAP FI/CO: Questions and AnswersAn easy, fast, and convenient way of learning SAP FI/CO, this quick reference guide also covers ABAP and Basis on the technical side, and MM, SD, and PP on the functional side to provide a thorough understanding of the SAP system.
By V. Narayanan
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Book
SAP Flexible Real Estate Management: Guide for Implementing and Optimizing SAP Flexible Real Estate Management SolutionWith real-world, practical examples, screenshots, menu paths, and transaction codes, this full-featured, hands-on book covers SAP's real estate management integrated solution enabling effective management of real estate and greater insight into various real estate portfolios.
By Jayant Daithankar
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Book
SAP Foreign Currency Revaluation: FAS 52 and GAAP RequirementsWith essential information on the proper rules and regulations needed to comply with FAS 52, this text is a valuable reference for controllers, CFOs, IT and accounting managers, and SAP consultants who are involved in FAS 52 compliance projects.
By Susanne Finke
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Book
SAP GRC For DummiesBeginning with a big-picture look at GRC and an explanation of how it can help your organization grow, this handbook addresses what you can do to ensure compliance; and how compliance can help you prevent fraud, bolster your corporate image, and more.
By Denise Vu Broady, Holly A. Roland
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Book
SAP HANA Cloud in a Nutshell: Design, Develop, and Deploy Data Models using SAP HANA CloudThis book introduces SAP HANA Cloud and helps you develop an understanding of its key features, including technology, architecture, and data modeling. SAP HANA Cloud in a Nutshell will help you develop the skills needed to use the core features of the completely managed and in-memory cloud-based data foundation available in the SAP Business Technology Platform.
By Miguel Figueiredo
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SAP HANA CookbookA practical guide that helps you understand the power of SAP HANA's real-time and in-memory capabilities, this book provides step-by-step instructions to exploit all the possible features of the SAP HANA database, enabling users to harness the full potential of this technology and its features.
By Chandrasekhar Mankala, Ganesh Mahadevan V.
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Book
SAP HCM: A Complete TutorialIf you are familiar with ERP products, and would like to leverage knowledge and fine-tune your configuration skills, this book begins with the basics, yet serves as a complete guide for handling real-time management and HR issues.
By Ganesh Karthik S
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Book
SAP MII: Functional and Technical Concepts in Manufacturing IndustriesShowing you how to leverage the flexibility and power of SAP MII to integrate your business operations with your manufacturing processes, this book explores the important new features of the product and explains how to apply best practices to connect all the stakeholders in your business.
By Saptaparna Mukherjee (Das), Suman Mukherjee
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Book
SAP MM Questions and AnswersOrganized in an easy-to-understand question and answer format, this quick reference discusses the new aspects related to SAP ERP 6.0 and all the important MM codes and concepts for materials and vendors.
By Kogent Learning Solutions, Inc.
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Book
SAP NetWeaver For DummiesThis guidebook will lead you through SAP NetWeaver, the Web services-based business integration and application platform that enables portals, collaboration, data management, development environments, and more.
By Dan Woods, Jeffrey Word
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Book
SAP Netweaver Portal Technology: The Complete ReferenceFilled with detailed descriptions, numerous illustrations, and hundreds of expert tips, this step-by-step reference provides everything you need to plan, design, install, configure, and administer SAP NetWeaver Portal.
By Rabi Jay
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Book
SAP Project Management Pitfalls: How to Avoid the Most Common Pitfalls of an SAP SolutionTaking a deep dive into common pitfalls in implementing SAP ERP projects in a complex IT landscape, this book discusses the potential causes of failures, provides a selection of relevant project implementation case studies in the area, and offers a range of possible countermeasures.
By Jayaraman Kalaimani
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Book
SAP Project System HandbookProviding detailed background information about the features of Project System (PS), this comprehensive volume explains how to configure PS for optimal performance, design structures and networks, create project blueprints, generate cost estimates and materials demands, and use the latest SAP tools.
By Kieron N. Dowling
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Book
SAP R/3 FI: TransactionsOffering an easy, fast, and convenient way to learn SAP R/3 Financial transactions (v.4.6C & 4.7), this up-to-date quick reference includes coverage of General Ledger, Accounts Payable, Accounts Receivable, and Asset Accounting.
By V. Narayanan
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Book
SAP S/4HANA Asset Management: Configure, Equip, and Manage your EnterpriseS/4HANA empowers enterprises to take big steps towards digitalization, innovation, and being mobile-friendly. This book is a concise guide to SAP S/4HANA Asset Management and will help you begin leveraging the platform's capabilities quickly and efficiently.
By Chandan Mohan Jaiswal, Rajesh Ojha
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Book
SAP S/4HANA Central Finance and Group Reporting: Integrate SAP S/4HANA ERP Systems into Your Financial Data and Workflows for More AgilityThis book is a must for SAP consultants, architects, and project managers who wish to become proficient in the SAP S/4HANA project life cycle phases.
By Sudipta Malakar
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Book
SAP S/4HANA Embedded Analytics: Experiences in the FieldA practical guide with clear and detailed examples, this book is written from the perspective of an implementation consultant and follows the path from standard to less standard, the way it should be done in an implementation project.
By Freek Keijzer
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Book
SAP S/4HANA Finance: An Introduction, 2nd edition 2023This book is your starting point for SAP S/4HANA Finance! Learn about the suite's architecture and explore its capabilities for your core finance processes: financial accounting, management accounting, treasury and risk management, planning, consolidation, and close.
By Maunil Mehta, Sam Parikh, Sanjib Chattopadhyay, Usman Aijaz
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Book
SAP S/4HANA Financial Accounting Configuration: Learn Configuration and Development on an S/4 System, Second EditionUpgrade your knowledge to learn S/4HANA, the latest version of the SAP ERP system, with its built-in intelligent technologies, including AI, machine learning, and advanced analytics.
By Andrew Okungbowa
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Book
SAP S/4HANA Supply Chain Planning and Manufacturing: Explore digital transformation using SAP IBP and SAP S/4HANAUnlock the secrets of SAP IBP, a cloud-based powerhouse that empowers you to forecast demand with precision, optimize supply chains seamlessly, and manage inventory levels effortlessly.
By Arijit Mitra, Dr. Ankush Agrawal
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Book
SAP S/4HANA Systems in Hyperscaler Clouds: Deploying SAP S/4HANA in AWS, Google Cloud, and AzureThis book helps SAP architects and SAP Basis administrators deploy and operate SAP S/4HANA systems on the most common public cloud platforms.
By André Bögelsack, Dhiraj Kumar, Elena Wolz, Jessica Tischbierek, Johannes Rank, Utpal Chakraborty
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Book
SAP SCM: Applications and Modeling For Supply Chain Management (With BW Primer)Providing clear advice on the inevitable, critical decisions that can lead to project success or failure, this book shows you how to fully exploit the agility SAP APO offers.
By Daniel C. Wood
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Book
SAP SD HandbookIncluding a complete glossary of terms to help readers understand the myriad terms associated with this SAP module, this comprehensive reference features all major concepts related to SAP SD functionality, technical configuration, and implementation.
By Kogent Learning Solutions, Inc.
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Book
SAP SD Questions and AnswersDesigned for SAP users as a quick reference or for computer science and business students, this book includes all the major concepts related to SAP SD functionality, technical configuration, and implementation in an easy-to-understand Q&A format.
By Kogent Learning Solutions, Inc.
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Book
SAP Security Configuration and Deployment: The IT Administrator's Guide to Best PracticesProviding comprehensive coverage of the essentials of SAP security currently available, this guide is designed to help the reader avoid the "gotchas" that may leave them vulnerable during times of upgrade or other system changes.
By Joey Hirao, et al.
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Book
SAP SuccessFactors Talent: A Complete Guide to Configuration, Administration, and Best Practices: Performance and Goals, Volume 1Take an in-depth look at SAP SuccessFactors talent modules with this complete guide to configuration, administration, and best practices.
By Michael A. Wellens, Susan Traynor, Venki Krishnamoorthy
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Book
SAP SuccessFactors Talent: A Complete Guide to Configuration, Administration, and Best Practices: Succession and Development, Volume 2Take an in-depth look at SAP SuccessFactors talent modules with this complete guide to configuration, administration, and best practices.
By Michael A. Wellens, Susan Traynor, Venki Krishnamoorthy
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Book
SAP Transaction Codes: Frequently Used T-CodesBy listing approximately 3800 of the most frequently used transaction codes available in the SAP system, this useful reference will enable users to quickly identify the most popular T-codes within a functional module, such as finance, controlling, materials management, human resources, payroll, quality management, and more.
By Arshad Khan
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Book
SAP UI Frameworks for Enterprise Developers: A Practical GuideIn this book, you will learn the latest cutting-edge web technologies and gain a comprehensive understanding of the user experience concept that undergirds the SAP Fiori design system.
By Marius Obert, Volker Buzek
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Book
SAP Workflow Business Process AutomationUsing a practical approach, numerous examples, and step-by-step instructions, this book will help you learn to design and build simple and advanced applications with SAP Business Workfow.
By Sudipta Malakar
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Book
SAP/ABAP HANA: ProgrammingCovering topics from simple to complex, this book has been written in such a way that the concepts are explained in detail, giving adequate emphasis on examples.
By Sudipta Malakar
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Book
Scala Programming for Big Data Analytics: Get Started With Big Data Analytics Using Apache SparkGain the key language concepts and programming techniques of Scala in the context of big data analytics and Apache Spark.
By Irfan Elahi
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Book
Scalable Big Data Architecture: A Practitioner's Guide to Choosing Relevant Big Data ArchitectureCovering real-world, concrete industry use cases, this book is for developers, data architects, and data scientists looking for a better understanding of how to choose the most relevant pattern for a big data project and which tools to integrate into that pattern.
By Bahaaldine Azarmi
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Scripting Intelligence: Web 3.0 Information Gathering and ProcessingCovering Web 3.0 technologies from a software developer's point of view, this book will be a valuable tool for anyone needing to gather, process, and publish web or database information across the modern web environment.
By Mark Watson
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Book
Security, Audit and Control Features: SAP ERP, 4th EditionPreview chapters one and two of this book. This sample content shows assurance, security and risk professionals how to evaluate risks and controls in existing ERP implementations.
By ISACA
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Book
Sharing Economy and Big Data AnalyticsThis book underlines the facilitating role of Big Data analytics, explaining why and how data analysis algorithms can be integrated operationally, in order to extract value and to improve the practices of the sharing economy.
By Mounia Khelfaoui, Soraya Sedkaoui
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Signal Processing and Networking for Big Data ApplicationsMaking sense of big data in engineering applications using tools and techniques from signal processing, this book is ideal for professionals wanting to solve practical problems involving large amounts of data, and for students looking to grasp the fundamentals of big data analytics.
By Dan Wang, Mingyi Hong, Zhu Han
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Book
Smart Cities-Big Data Prediction Methods and ApplicationsThis book discusses big data forecasting for smart cities.
By Dr. Hui Liu
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Book
Smart Data PricingPresenting the analysis of leading researchers from industry and academia surrounding the pricing of network services and content, this book tackles the timely issue of surging demand for network, cloud, and content services and corresponding innovations in pricing these services to benefit consumers, operators, and content providers.
By Carlee Joe-Wong, Mung Chiang (eds), Sangtae Ha, Soumya Sen
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Book
Snowflake Essentials: Getting Started with Big Data in the Cloud, 1st EditionThis book covers how Snowflake's architecture is different from prior on-premises and cloud databases.
By Bhaskar B. Joshi, Bjorn Lindstrom, Frank Bell, Raj Chirumamilla, Ruchi Soni, Sameer Videkar
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Book
Snowflake Security: Securing Your Snowflake Data CloudThis Book Is for data engineers, data privacy professionals, and security teams either with security knowledge (preferably some data security knowledge) or with data engineering knowledge; in other words, either "Snowflake people" or "data people" who want to get security right, or "security people" who want to make sure that Snowflake gets handled right in terms of security
By Ben Herzberg, Yoav Cohen
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Book
Spark GraphX in ActionStarting out with an overview of Apache Spark and the GraphX graph processing API, this example-based tutorial then teaches you how to configure GraphX and how to use it interactively.
By Michael S. Malak, Robin East
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Book
Spark in ActionCreated for experienced programmers with some background in big data or machine learning, this book teaches you the theory and skills you need to effectively handle batch and streaming data using Spark.
By Marko Bonaći, Petar Zečević
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Book
Spark in Action, Second EditionTeaching you to create end-to-end analytics applications, this entirely new book will show you interesting Java-based examples, including a complete data pipeline for processing NASA satellite data.
By Jean-Georges Perrin
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Book
Spark: Big Data Cluster Computing in ProductionWith real-world production insight and expert guidance, tips, and tricks, this incredibly useful resource goes beyond general Spark overviews to provide targeted guidance toward using lightning-fast big data clustering in production.
By Brennon York, Ema Orhian, Ilya Ganelin, Kai Sasaki
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Book
SQL on Big Data: Technology, Architecture, and InnovationConsolidating SQL and the big data landscape, this in-depth guide provides a comprehensive overview, at a technology and architecture level, of different SQL technologies on big data tools, products, and solutions.
By Sumit Pal
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Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second EditionProviding simple yet insightful quantitative techniques, this book contains essays offering detailed background, discussion, and a truly nitty-gritty, step-by-step method that both tyros and experts in the field can enjoy playing with.
By Bruce Ratner
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Book
Statistics for Big Data for DummiesOffering clear explanations and tons of step-by-step instruction to help you make sense of data mining, this plain-English guide breaks this often-overwhelming subject down into easily digestible parts, offering new and aspiring data analysts the foundation they need to be successful in the field.
By Alan Anderson, David Semmelroth
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Storm Applied: Strategies for Real-Time Event ProcessingAn example-driven guide to processing and analyzing real-time data streams, this immediately useful book dives into real-world case studies that show you how to scale a high-throughput stream processor, ensure smooth operation within a production cluster, and more.
By Matthew Jankowski, Peter Pathirana, Sean T. Allen
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Book
Storytelling with Data: Let's Practice!Delivering fresh content, a plethora of new examples, and over 100 hands-on exercises, this book helps you build confidence and credibility to create graphs and visualizations that make sense and weave them into action-inspiring stories.
By Cole Nussbaumer Knaflic
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Book
Streaming, Sharing, Stealing: Big Data and the Future of EntertainmentHow can companies discover who their customers are, what they want, and how much they are willing to pay for it? Data. This book discusses how big data is transforming the creative industries, and how those industries can use lessons from Netflix, Amazon, and Apple to fight back.
By Michael D. Smith, Rahul Telang
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Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced AnalyticsExploring a number of big data concepts and how they can be applied to improve your organization's analytics, this user-friendly handbook shows you step by step how to design, incorporate, and profit from a world-class advanced analytics ecosystem in today's big data environment.
By Bill Franks
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Telecom Data Monetization via Big Data AnalyticsAuthored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article discusses how descriptive and predictive big data analytics can drive competitiveness of Telecom operators.
By Mohamed Alaa, Mona Fahmy, Nashwa AbolFettouh
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Testing SAP R/3: A Manager's Step-by-Step GuideProviding much-needed industry guidance, this book contains contributions from industry leaders in the fields of SAP testing, test tool automation, and templates to help project managers and test managers establish immediate testing best practices.
By Elfriede Dustin, Jose Fajardo
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The 123s of ABC in SAP: Using SAP R/3 to Support Activity-Based CostingStudy the process of incorporating Activity-Based Costing with SAP in this insightful resource.
By Christopher F. Jackiw, Dawn J. Sedgley
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The Analytics Revolution: How to Improve Your Business By Making Analytics Operational in The Big Data EraDelving into the requirements for laying a solid technical and organizational foundation that is capable of supporting operational analytics at scale, this book presents everything you need to implement operational analytic processes with big data.
By Bill Franks
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The Big Data-Driven Business: How to Use Big Data to Win Customers, Beat Competitors, and Boost ProfitsUsing real-life examples-from Nate Silver to Copernicus, and Apple to Blackberry-to demonstrate how the winners of the future will use big data to seek the truth, this book is a comprehensive and accessible guide on how to win customers, beat competitors, and boost the bottom line with big data.
By Russell Glass, Sean Callahan
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The Biml Book: Business Intelligence and Data Warehouse AutomationWhether a beginner or a seasoned Biml expert, this expert guide provides practical and applicable examples of Biml for automating much of the repetitive, manual labor involved in data integration.
By Andy Leonard, et al.
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The Chief Data Officer Management Handbook: Set Up and Run An Organization's Data Supply ChainBased on positive and negative experiences shared by current CDOs, this practical book guides you in designing the ideal structure of a data office, implementing it, and getting the right people on board.
By Martin Treder
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The Complete Book of Data Anonymization: From Planning to ImplementationProviding a 360-degree view of data privacy protection using data anonymization, this book delves far beyond data anonymization techniques to supply you with the wide-ranging perspective required to ensure comprehensive protection against misuse of data.
By Balaji Raghunathan
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The Data Imperative: How Digitalization is Reshaping Management, Organizing, and WorkBuilding on interviews and diverse case studies, this book provides an in-depth look at how data and algorithms are reshaping management practices, organizational structures, corporate culture, and work roles.
By Henri Schildt
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The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, Third EditionFeaturing a complete library of updated dimensional modeling techniques, this comprehensive, authoritative guide presents real-world case studies from a variety of industries, including retail sales, financial services, telecommunications, education, health care, insurance, e-commerce, and more.
By Margy Ross, Ralph Kimball
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The Kimball Group Reader: Relentlessly Practical Tools for Data Warehousing and Business Intelligence Remastered Collection, Second EditionOrganized for quick navigation and easy reference, this vital resource is the essential reference for data warehouse and business intelligence design, packed with best practices, design tips, and valuable insight from industry pioneer Ralph Kimball and the Kimball Group.
By Margy Ross, Ralph Kimball
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The Modern Data Warehouse in Azure: Building with Speed and Agility on Microsoft's Cloud PlatformBuild a modern data warehouse on Microsoft's Azure Platform that is flexible, adaptable, and fast-fast to snap together, reconfigure, and fast at delivering results to drive good decision making in your business.
By Matt How
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The Patient Revolution: How Big Data and Analytics are Transforming the Healthcare ExperienceWritten by a noted expert in health care innovation and management, this thorough book explores, through the lens of design thinking, how information technology will take health care into the experience economy.
By Krisa Tailor
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The SAP Materials Management HandbookPresenting case studies from actual projects that demonstrate how to convert theory into powerful SAP MM solutions, this book provides a complete understanding of how to best configure and implement the SAP MM module across various types of projects.
By Ashfaque Ahmed
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Book
Think Bigger: Developing a Successful Big Data Strategy for Your BusinessSharing best practices from companies that have implemented a big data strategy including Walmart, InterContinental Hotel Group, Walt Disney, and Shell, this book provides a roadmap for organizations looking to develop a profitable big data strategy, and reveals why it's not something to leave up to the IT department.
By Mark Van Rijmenam
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BOOK SUMMARY
Think Bigger: Developing a Successful Big Data Strategy for Your BusinessThink Bigger gives a comprehensive picture of what it takes to make and manage Big Data for the benefit of your organization and the people in it. In this Summary, we discuss the salient points of the book based on our interpretation of its contents.
By Mark Van Rijmenam
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Book
Too Big to Ignore: The Business Case for Big DataRife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, this book provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data.
By Phil Simon
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Transportation Management with SAP TM 9.0: A Hands-On Guide to Configuring, Implementing, and Optimizing SAP TMOffering a guide for CIO/CXOs evaluating options for various transportation management solutions available in the market, this book explains end-to-end freight life cycle processes, functional system landscape, implementation challenges and post go-live precautions required to optimize investments in SAP TM.
By Jayant Daithankar, Tejkumar Pandit
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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming DataFeaturing industry use cases, this practical guide reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform.
By Chris Eaton, Dirk deRoos, George Lapis, Paul C. Zikopoulos, Thomas Deutsch
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Understanding Information Retrieval Systems: Management, Types, and StandardsBringing together authoritative articles on the different types of information systems, this book explains how to manage real-world demands such as digital asset management, network management, digital content licensing, data quality, and information system failures.
By Marcia J. Bates (ed)
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Unleash Core Data: Fetching Data, Migrating, and Maintaining Persistent StoresThis book will show you how to organize your app's data and make it work for you and your users.
By Avi Tsadok
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Unlocking dbt: Design and Deploy Transformations in Your Cloud Data WarehouseThis book shows how dbt is used to build data transformation pipelines that enable dependency management and allow for version control and automated testing.
By Cameron Cyr, Dustin Dorsey
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Using R to Unlock the Value of Big Data: Big Data Analytics with Oracle R Enterprise and Oracle R Connector for HadoopProviding an introduction to open source R and describes issues with traditional R and database interaction, this Oracle Press guide focuses on analyzing data with R while making it scalable using Oracle's R technologies.
By Mark Hornick, Tom Plunkett
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A Manager's Guide to Data WarehousingWritten for a non-technical audience, this helpful book details each step of a data warehouse project, and provides a clear explanation of what's involved in efficiently building a data warehouse and what must be done to deliver the data.
By Laura L. Reeves
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A Practical Guide to Data Mining for Business and IndustryPresenting a user-friendly approach to data mining methods, covering the typical uses to which it is applied, this guide is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications.
By Andrea Ahlemeyer-Stubbe, Shirley Coleman
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Advanced Data StructuresWith numerous code examples in C and more than 500 references, this text closely examines ideas, analysis, and implementation details of data structures as a specialized topic in applied algorithms.
By Peter Brass
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Agile Data Warehousing Project Management: Business Intelligence Systems Using ScrumRegardless of where you are today, this step-by-step implementation guide will prepare you to join or even lead a team in visualizing, building, and validating a single component to an enterprise data warehouse.
By Ralph Hughes
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Analyzing the Social WebDiscussing how social media can be used as a tool for interacting with the online public, this book provides a framework for the analysis of public data currently available and being generated by social networks and social media, like Facebook, Twitter, and Foursquare.
By Jennifer Golbeck
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Applied Microsoft Business IntelligenceProviding best practices for building complete BI solutions using the full Microsoft toolset, this book shows you how to leverage the complete set of Microsoft tools including Microsoft Office and SQL Server to better analyze business data.
By Dejan Sarka, Dustin Ryan, Jessica M. Moss, Patrick LeBlanc
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Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's BusinessesBy making the topic accessible through stories, metaphors, and analogies even though it's a technical subject area, this timely book looks at cutting-edge companies supporting an exciting new generation of business analytics.
By Ambiga Dhiraj, Michael Minelli, Michele Chambers
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Building a Scalable Data Warehouse with Data Vault 2.0Explaining everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer, this book discusses how to build the data warehouse incrementally using the agile Data Vault 2.0 methodology.
By Daniel Linstedt, Michael Olschimke
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Book
Building and Maintaining a Data WarehouseProviding an easy-to-follow approach that is cohesive and holistic, this guide offers the perspective of a successful data warehouse, as well as that of a failed one, and details those factors that must be accomplished and those that are best avoided.
By Fon Silvers
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Building the Data Warehouse, Fourth EditionWritten by the father of the data warehouse concept, this edition provides a comprehensive introduction to building data marts, operational data stores, Corporate Information Factory, exploration warehouses, and Web-enabled warehouses.
By W. H. Inmon
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Business Intelligence and Data Warehousing Simplified: 500 Questions, Answers, and TipsWith each chapter covering a different topic, this book targets business and IT professionals who need an introduction to business intelligence and data warehousing through a simple question/answer format.
By Arshad Khan
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Business Intelligence and the Cloud: Strategic Implementation GuideFocusing on examples of cloud computing, public clouds, private clouds, and virtualization, this book emphasizes how these technologies can be used to create business value and how they can be integrated into an organizations business intelligence system.
By Michael S. Gendron
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Book
Business Intelligence DemystifiedThe book helps you lay a very strong foundation and provides the right perspective about BI. It enables you to start or restart your journey with BI.
By Anoop Kumar V K
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Business Intelligence For DummiesExplaining the principles and practical elements of BI, this guide takes you step-by-step through the technologies and the alphabet soup, so you can choose the right one and implement a successful BI environment.
By Swain Scheps
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Business Intelligence Guidebook: From Data Integration to AnalyticsDescribing best practices and pragmatic approaches so readers can put them into action, this clear and accessible book takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers.
By Rick Sherman
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Business Intelligence Strategy and Big Data Analytics: A General Management PerspectiveIncluding exercises and case studies with road-tested advice, this book provides ideas for improving the business performance of one's company or business functions, and emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies.
By Steve Williams
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Business Intelligence with SQL Server Reporting ServicesHelping you deliver business intelligence with panache, this straightforward guide will show you how to harness the power of the Reporting Services toolkit to combine charts, gauges, sparklines, indicators, and maps into compelling dashboards and scorecards.
By Adam Aspin
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Cluster Analysis and Data Mining: An IntroductionPlacing emphasis on illustrating the underlying logic in making decisions during the cluster analysis, this book is applicable to either a course on clustering and classification or as a companion text for a first class in applied statistics.
By R.S. King
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Crystal Reports 10 For DummiesThis handy guide explains how to use Crystal Reports to quickly transform almost any data into interactive content. Learn to create a simple report, and perform basic and advanced reporting features.
By Allen G. Taylor
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Crystal Reports 2008 For DummiesA quick and easy guide to get you going with the latest version of this bestselling report-writing software, this book gives you just what you should know to produce the reports you'll need most often.
By Allen G. Taylor
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Crystal Reports 9 EssentialsThis title will be removed from the Skillsoft library on May 24, 2024.
By Jill K. Howe, et al.
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Crystal Reports 9 for DummiesThis friendly guide will help you utiltize this report writer package so you can make your reports focused and readable, nest one report within another, illustrate points with charts and maps, and use it with Visual Basic, Visual C++, and Visual C#.
By Allen G. Taylor
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Crystal Reports XI For DevelopersThis title will be removed from the Skillsoft library on May 24, 2024.
By David McAmis
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Data Analysis with Microsoft Access 2010: From Simple Queries to Business IntelligenceThis title will be removed from the Skillsoft library on May 24, 2024.
By Larry Rockoff
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Data Mapping for Data Warehouse DesignBased on the author's years of real-world experience designing solutions, this book covers all stages of data warehousing and the role of data mapping, and includes data mapping strategies and techniques that can be applied to business use cases.
By Qamar Shahbaz Ul Haq
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Data Mining and Data WarehousingAddressing the need, the value, and the technological means of acquiring and using information in the information age, this book provides sound and practical inputs to understand, plan and build data warehousing and data mining applications.
By Bharat Bhushan Agarwal, Sumit Prakash Tayal
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Data Mining Applications with RPresenting various real-world case studies illustrating different techniques in rapidly growing areas, this resource is an ideal companion for data mining researchers in academia and industry looking for ways to turn this versatile software into a powerful analytic tool.
By Yanchang Zhao
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Data Mining for BioinformaticsCovering theory, algorithms, and methodologies, as well as data mining technologies, this authoritative reference provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics.
By Pradeep Chowriappa, Sumeet Dua
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Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner, Second EditionIncluding an abundant amount of exercises and examples, this hands-on guide uses real data and actual cases to illustrate the applicability of data mining (DM) intelligence in the development of successful business models.
By Galit Shmueli, Nitin R. Patel, Peter C. Bruce
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Data Mining for DummiesIf you're serious about doing everything you can to push your company to the top, this practical book takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data.
By Meta S. Brown
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Data Mining for Geoinformatics: Methods and ApplicationsIncluding numerous case studies throughout, this unique volume contains a collection of chapters on state-of-the-art data mining techniques applied to geoinformatic problems of high complexity and important societal value.
By Guido Cervone, Jessica Lin, Nigel Waters (eds)
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Data Mining Tools for Malware DetectionIntegrating theory with practical techniques and experimental results, this book provides a step-by-step breakdown of how to develop data mining tools for malware detection such as insider threat detection, firewall policy analysis, and real-time data mining.
By Bhavani Thuraisingham, Latifur Khan, Mehedy Masud
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Data Simplification: Taming Information with Open Source ToolsAddressing the simple fact that modern data is too big and complex to analyze in its native form, this book provides data scientists from every scientific discipline with the methods and tools to simplify their data for immediate analysis or long-term storage in a form that can be readily repurposed or integrated with other data.
By Jules J. Berman
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Data Virtualization for Business Intelligence Systems: Revolutionizing Data Integration for Data WarehousesIllustrating concepts using examples developed with commercially available products, this book explains how data virtualization servers work, what techniques to use to optimize access to various data sources, and how these products can be applied in different projects.
By Rick F. van der Lans
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Data Visualization for Oracle Business Intelligence 11gEmphasizing the principles of effective design, this guide reveals best practices for presenting data-driven insights with graphs, tables, maps, dashboards, and other methods that will immediately enhance corporate decision-making.
By Dan Vlamis, Tim Vlamis
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Data Warehouse Designs: Achieving ROI with Market Basket Analysis and Time VariancePresenting a solution for creating home-grown MBA data marts, this book presents an innovative, soup-to-nuts approach that successfully combines what was previously incompatible, without degradation, and uses the relational architecture already in place.
By Fon Silvers
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Data Warehouse Fundamentals for Storage Professionals: What You Need to KnowAuthored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article will demystify data warehousing, and will turn you from a novice to an informed member of an active warehouse team.
By Bruce Yellin
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Data Warehouse Systems: Design and ImplementationWith extensive coverage of all data warehouse issues, ranging from basic technologies to the most recent findings and systems, this book illustrates the concepts with an on-going example based on the North wind database using Microsoft Analysis Services and Pentaho Business Analytics.
By Alejandro Vaisman, Esteban Zimányi
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Data Warehousing for Biomedical InformaticsProviding several examples from real organizations, this book is a step-by-step how-to guide for designing and building an enterprise-wide data warehouse across a biomedical or healthcare institution, using a four-iteration lifecycle and standardized design pattern.
By Richard E. Biehl
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Data Warehousing For Dummies, 2nd EditionProviding the basics of data warehousing and how it facilitates data mining and business intelligence, this guide will help you understand, develop, implement, and use data warehouses, and offers a sneak peek into their future.
By Alan R. Simon, Thomas C. Hammergren
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Data Warehousing Fundamentals: A Comprehensive Guide for IT ProfessionalsContaining a wealth of industry examples garnered from the author's 25 years of experience, this text explores all topics needed by those who design and implement data warehouses.
By Paulraj Ponniah
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Decision Support Systems for Business Intelligence, Second EditionProviding a unique combination of theory, applications, and technology, this informative resource supplies readers with the hands-on approach that is needed to understand the implications of theory to DSS design as well as the skills needed to construct a DSS.
By Vicki L. Sauter
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Delivering Business Intelligence with Microsoft SQL Server 2016, Fourth EditionFilled with expert tips and best practices, this hands-on guide shows, step-by-step, how to distribute high-performance, custom analytics to users enterprise-wide.
By Brian Larson
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Discovering Knowledge in Data: An Introduction to Data Mining, Second EditionDemonstrating how to leverage a company's existing databases to increase profits and market share, this book provides the tools needed to thrive in today's big data world and carefully explains the most current data science methods and techniques.
By Chantal D. Larose, Daniel T. Larose
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DW 2.0: The Architecture for the Next Generation of Data WarehousingTaking a top down approach, looking at the overall architecture and then delving into the issues underlying the components, this book describes the future of data warehousing that is possible now, at both an architectural and technological level.
By Derek Strauss, Genia Neushloss, William H. Inmon
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Enterprise Business Intelligence and Data Warehousing: Program Management EssentialsCovering best practices for managing and leading an enterprise-scale business intelligence (BI) and data warehousing (DW) program, this essential book describes what the Enterprise Program Manager must accomplish to orchestrate the many moving parts involved.
By Alan Simon
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Foundations of SQL Server 2008 R2 Business Intelligence, Second EditionProviding clear examples of predictive analysis, this practical guide introduces the entire exciting gamut of business intelligence tools included with SQL Server 2008.
By Guy Fouche, Lynn Langit
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Fundamentals of Business IntelligenceIncluding selected examples and exercises, this book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making.
By Stefanie Rinderle-Ma, Wilfried Grossmann
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Handbook of Statistical Analysis and Data Mining ApplicationsPresenting clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, this comprehensive reference discusses their application to real problems, in ways accessible and beneficial to practitioners across all industries.
By Gary Miner, John Elder, Robert Nisbet
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Introduction to Data Mining and Soft Computing TechniquesWritten for students, software professionals, and researchers, this book provides chapter summaries, review questions, and multiple-choice quizzes to explain data mining and soft computing, the fastest growing technology for the business world.
By M. Ramakrishna Murthy
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Knight's Microsoft Business Intelligence 24-Hour Trainer: Leveraging Microsoft SQL Server Integration, Analysis, and Reporting Services with Excel and SharePointIf you are just starting to get a handle on Microsoft Business Intelligence (BI) tools, this book provides you with the just the right amount of information to perform basic business analysis and reporting.
By Adam Jorgensen, Brian Knight, Devin Knight, Mike Davis, Patrick LeBlanc
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Linear Algebra Tools for Data MiningAccompanied by more than 550 exercises and supplements, many with complete solutions and MATLAB applications, this comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields.
By Dan A. Simovici
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Master Data ManagementEquipping you with a deeply practical, business-focused way of thinking about MDM, this book offers an understanding that will greatly enhance your ability to communicate with stakeholders and win their support.
By David Loshin
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Master Data Management in Practice: Achieving True Customer MDMPacked with helpful tables, graphs, and charts, this practical guide provides a logical order toward planning, implementation, ongoing management, and advanced practices of Customer MDM.
By Dalton Cervo, Mark Allen
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Mastering Crystal Reports 9With this guide, you'll not only thoroughly learn the powerful features of Crystal Reports 9, but also how to develop custom applications to meet the specific needs of your organization.
By Cate McCoy, Gord Maric
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Mastering Data Warehouse Aggregates: Solutions for Star Schema PerformanceShowing how a well-planned set of aggregates can have an extraordinary effect on the overall throughput of your data warehouse, this book offers best practices that will help you achieve astounding performance increases, while avoiding common pitfalls.
By Christopher Adamson
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Mastering Data Warehouse Design: Relational and Dimensional TechniquesThis text provides a complete overview of exactly what is involved in designing and building a sustainable and extensible data warehouse, and offers a how-to guide on relational and dimensional modeling in a business intelligence environment.
By Claudia Imhoff, Jonathan G. Geiger, Nicholas Galemmo
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Mastering QlikViewIf you are a business application developer or a system analyst who has learned QlikView and Qlik Sense and now want to take your learning to the next level, this book will show you how to: tune your Qlik applications and review basic performance-tuning techniques for scalability; model your data correctly; discover a range of techniques to manage metadata; write great scripts to load data in different ways; and more.
By Stephen Redmond
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Microsoft Business Intelligence For DummiesLooking beyond the jargon at real business problems and common-sense solutions, this essential guide provides a much-needed step-by-step explanation of what's involved and how to use this powerful package to improve your business.
By Ken Withee
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Microsoft Business Intelligence Tools for Excel AnalystsAuthored by a team of Business Intelligence experts, this book introduces business analysts to the rich toolset and reporting capabilities that can be leveraged to more effectively source and incorporate large datasets in their analytics while saving them time and simplifying the reporting process.
By Bernard Wehbe, Jared Decker, Michael Alexander
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Mining of Massive Datasets, Second EditionIncluding a range of over 150 exercises to challenge even the most able student, this essential book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to even the largest datasets.
By Anand Rajaraman, Jeffrey David Ullman, Jure Leskovec
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Mining Text DataIntroducing an important niche in the text analytics field, this unified book discusses a wide swath in classical methods such as clustering, classification and topic modeling, as well as more modern text mining applications in social and information networks, and social media.
By Charu C. Aggarwal, ChengXiang Zhai (eds)
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Modelling and Simulation: Exploring Dynamic System Behaviour, Second EditionPresenting a practical introduction to the fundamental aspects of modelling and simulation, this concise guide provides the necessary foundations both for those wishing to learn about this methodology and also for those who have a need to apply it in their work.
By Gilbert Arbez, Louis G. Birta
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Modern Enterprise Business Intelligence and Data ManagementDetailing a a comprehensive step-by-step approach to building a best practices-driven, multi-year roadmap in the quest for architecturally evolvable BI and data warehousing at the enterprise scale, this book addresses the triad of technology, work processes, and organizational/human factors considerations in a manner that blends the visionary and the pragmatic.
By Alan Simon
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Monetizing Your Data: A Guide to Turning Data into Profit-Driving Strategies and SolutionsUsing a proven methodology developed in the field, this invaluable book gives you the analytical tools, methods, and techniques to transform data you already have into information into insights that drive winning decisions.
By Andrew Wells, Kathy Chiang
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Multi-Domain Master Data Management: Advanced MDM and Data Governance in PracticeWritten in a business friendly style with sufficient program planning guidance, this book delivers practical advice and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation.
By Dalton Cervo, Mark Allen
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Netezza SQLTaking readers through in a clear and logical manner using pictures and real-life examples, this book contains pages upon pages of brilliant Netezza examples, ranging from simple commands to advanced procedures.
By Mike Larkins, Tom Coffing
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Oracle Business Intelligence (OBIEE): Interactive Dashboards & AnswersDemonstrating how to build sophisticated database requests and format resulting answers, this book discusses relational databases, the SQL database language, data warehousing, business intelligence (BI) and data analytics in a form that business professionals can readily understand.
By Sideris Courseware Corporation
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Oracle Business Intelligence 11g Developers GuideAuthored by Oracle ACE Director Mark Rittman, this Oracle Press guide will help you deliver meaningful business information to users anytime, anywhere, on any device, using Oracle Business Intelligence 11g.
By Mark Rittman
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Oracle Business Intelligence and Essbase Solutions GuideUsing case studies throughout, this book highlights the practical aspects of using Oracle Essbase and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution.
By Lakshman Bulusu, Rosendo Abellera
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Oracle Business Intelligence Applications: Deliver Value Through Rapid ImplementationsOffering a technical walkthrough of Oracle Business Intelligence Applications architecture, from the dashboard to the data source, this Oracle Press guide also provides best practices for maximizing the powerful features of each application.
By Simon Miller, William Hutchinson
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Oracle Business Intelligence Discoverer 11g HandbookWith real-world examples that illustrate the powerful analysis, security, and reporting capabilities, this expert guide shows you how to optimize this intuitive ad hoc query, reporting, analysis, and web publishing tool for maximum performance.
By Darlene Armstrong-Smith, Michael Armstrong-Smith
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Oracle Data Integration: Tools for Harnessing DataDeliver continuous access to timely and accurate BI across your enterprise using the detailed information in this Oracle Press guide. Through clear explanations and practical examples, a team of Oracle experts shows how to assimilate data from disparate sources into a single, unified view.
By Bobby Curtis, Chris Lawless, Michelle Malcher
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Oracle Data Warehousing and Business Intelligence SolutionsWritten by a team of Oracle insiders, this authoritative book provides you with the most current coverage of the Oracle data warehousing platform as well as the full suite of business intelligence tools.
By Joseph Rayman, Rick Greenwald, Robert Stackowiak
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Oracle Fusion Middleware Patterns: Real-World Composite Applications Using SOA, BPM, Enterprise 2.0, Business Intelligence, Identity Management, and Application InfrastructureFeaturing series of 10 case studies that reflect the experience of Enterprises who have met today's challenges by adopting a new style of development, this book will give you the insights required to recognize the needs of your enterprise and implement Fusion solutions.
By Harish Gaur, Markus Zirn
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Pentaho Solutions: Business Intelligence and Data Warehousing with Pentaho and MySQLCovering all components of the Pentaho BI Suite, this all-in-one resource will show you how to install, use, and maintain Pentaho and offers plenty of background discussion that will bring you thoroughly up to speed on BI and Pentaho concepts.
By Jos van Dongen, Roland Bouman
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PowerPivot for Business Intelligence Using Excel and SharepointTaking a scenario-based approach, this insightful book focuses on the specific challenges you'll encounter when using PowerPivot, and shows you how to collect data, to mine that data through insightful analysis, and to draw conclusions that drive business performance.
By Barry Ralston
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Practical Data Analysis and Reporting with BIRT: Use the Open-source Eclipse-Based Business Intelligence and Reporting Tools System to Design and Create Reports as Quickly as PossibleSteering readers through each point of reporting from setup, to scripting, designing, formatting, and deploying BIRT reports, this concise, practical guide will help you get results as quickly as possible.
By John Ward
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Practical Data MiningRevealing the lessons known to the seasoned expert, yet rarely written down for the uninitiated, this working field manual outlines the what, when, why, and how of data mining and offers an easy-to-follow, six-step spiral process.
By Monte F. Hancock, Jr.
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Practical Text Analytics: Interpreting Text and Unstructured Data for Business IntelligenceIncluding illustrations and charts, hints and tips, definitions, and case studies/examples, this accessible guide to the many advances in text analytics explains the different approaches and methods, their uses, strengths, and weaknesses, in a way that is relevant to marketing professionals.
By Steven Struhl
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Principles of Data MiningA comprehensive, highly technical look at the math and science behind extracting useful information from large databases.
By David Hand, Heikki Mannila, Padhraic Smyth
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Principles of Data Mining, Second EditionPresenting the principal techniques of data mining for classification, association rule mining and clustering, this practical guide clearly explains each topic and illustrates them through detailed worked examples, with a focus on algorithms rather than mathematical formalism.
By Max Bramer
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Pro SQL Server 2012 BI SolutionsProviding practical examples of cost-effective business intelligence projects, this book guides database administrators, SQL programmers, and report specialists in creating practical, cost-effective business intelligence solutions for their companies and departments.
By Caryn Mason, Randal Root
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Pro VS 2005 Reporting using SQL Server and Crystal ReportsOffering a proven methodology for building reporting solutions, this thorough book presents the requirements for a real-world reporting application in a distributed environment, and covers all the phases of development.
By Kevin S. Goff, Rod Paddock
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Process Modeling StyleProviding solid advice for creating roles, work products, and processes, this focused guide instructs on how to organize and structure the parts of a process, and gives examples of documents you should use to define a set of processes.
By John Long
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QlikView Your Business: An Expert Guide to Business Discovery with QlikView and Qlik SenseGoing beyond the basics to illustrate little-known features and techniques for getting the most out of the toolset while focusing on the process of developing analytic applications, this essential guide supports the needs of the business analysts who use it, as well as the developers who support it.
By Charlie Leichtweis, Oleg Troyansky, Tammy Gibson
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S-BPM Illustrated: A Storybook about Business Process Modeling and ExecutionWith a clear and concise style, a wealth of illustrations, and a focus on an ongoing example with a real industrial background, this hands-on book shows how S-BPM and its tools can be used in order to solve communication and synchronization problems involving humans and/or machines in an organization.
By Albert Fleischmann, Robert Singer, Stefan Raß
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SharePoint 2010 Business Intelligence 24-Hour TrainerWritten by a team of leading SharePoint and Business Intelligence (BI) experts, this unique book shows you how to successfully build and deliver BI applications using SharePoint 2010.
By Adam Jorgensen, Brad Schacht, Devin Knight, Mark Stacey, Patrick LeBlanc
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Structured System Analysis and DesignFeaturing a set of sample papers based on the pattern of DOEACC past exams, this book explains the approaches to solve a problem and addresses the various steps to develop a system.
By J.B. Dixit, Raj Kumar
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The Biml Book: Business Intelligence and Data Warehouse AutomationWhether a beginner or a seasoned Biml expert, this expert guide provides practical and applicable examples of Biml for automating much of the repetitive, manual labor involved in data integration.
By Andy Leonard, et al.
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The Brilliance of NetezzaDesigned to make all readers instant experts on the architecture of Netezza, this book offers the kind of knowledge you need to make yourself an invaluable asset to your company as you master Netezza's clever design and "secret sauce" of FPGA Cards and Zone Maps.
By John Nolan, Tom Coffing
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The Complete Business Process Handbook: Body of Knowledge from Process Modeling to BPM, Volume IOffering a comprehensive body of knowledge on business processes, this book was written as a practical guide for executives, practitioners, managers and students by the authorities that have shaped the way we think and work with process today.
By August-Wilhelm Scheer, Henrik von Scheel, Mark von Rosing
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The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering DataServing as a road map for planning, designing, building, and running the back-room of a data warehouse, this book provides complete coverage of proven, timesaving extract, transform, and load (ETL) techniques.
By Joe Caserta, Ralph Kimball
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The Data Warehouse Lifecycle Toolkit, Second EditionContaining a refined set of Lifecycle methods and techniques based on the authors' consulting and training experience, this toolkit walks you through the detailed steps of designing, developing, and deploying a DW/BI system.
By Ralph Kimball, et al.
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The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence InsightsOffering detailed instructions and best practices from an expert developer and trainer, this book shows you how to plan, design, construct, and administer an integrated end-to-end data warehouse/business intelligence solution to empower your users and drive better decision making.
By Robert (Bob) Laberge
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The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, Third EditionFeaturing a complete library of updated dimensional modeling techniques, this comprehensive, authoritative guide presents real-world case studies from a variety of industries, including retail sales, financial services, telecommunications, education, health care, insurance, e-commerce, and more.
By Margy Ross, Ralph Kimball
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The Microsoft Data Warehouse Toolkit: With SQL Server 2008 R2 and the Microsoft Business Intelligence Toolset, 2nd EditionIncluding the authors' own trial-and-error experiences of building a DW/BI system with the Microsoft tools, this guide will help you get on your way to building a successful DW/BI system that supports business intelligence requirements common to most organizations.
By Joy Mundy, Ralph Kimball, Warren Thornthwaite
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Understanding Petri Nets: Modeling Techniques, Analysis Methods, Case StudiesPresenting a clear, thorough introduction to the essentials of Petri nets, this comprehensive resource explains the core modeling techniques and analysis methods and illustrates their usefulness with examples and case studies.
By Wolfgang Reisig
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Web Analytics For DummiesAre you getting a decent return on the time and money you put into your Web site? Let this easy-to-follow guide walk you through choosing the right tools for analyzing your site, measuring data, and making changes to boost your site's profitability.
By Jennifer LeClaire, Pedro Sostre
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A General Introduction to Data AnalyticsAn essential guide to understand and use data analytics, this highly accessible book is written using easy-to-understand terms and does not require familiarity with statistics or programming.
By Andre Carvalho, João Mendes Moreira, Tomáš Horváth
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A Roadmap to Green Supply Chains: Using Supply Chain Archaeology and Big Data AnalyticsShowing the relationship between the sustainability movement and supply chains, this book explains how to direct your purchasing power so that you source products that not only fill the needs of your organizations, but that also contribute to the health and well-being of the planet.
By Kevin L. Lyons
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A/B Testing: The Most Powerful Way to Turn Clicks into CustomersA guide to delivering a better user experience through A/B testing, this handy book outlines a simple way to test several different versions of a web page with live traffic, and then measure the effect each version has on visitors.
By Dan Siroker, Pete Koomen
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Actionable Web Analytics: Using Data to Make Smart Business DecisionsFor marketers and those who want to think like them, this engaging book should help put the emerging discipline of web analytics into the broader context of classic marketing and branding.
By Jason Burby, Shane Atchison
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Advanced Data Mining Tools and Methods for Social Computing, First EditionAdvanced Data Mining Tools and Methods for Social Computing explores advances in the latest data mining tools, methods, algorithms and the architectures being developed specifically for social computing and social network analysis.
By Sandip Dey, Siddhartha Bhattacharyya, Sourav De, Surbhi Bhatia Khan
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Advanced Web Metrics with Google Analytics, Third EditionFeaturing new content based on reader and client requests, this detailed book helps you implement new methods and concepts, track social and mobile visitors, use the new multichannel funnel reporting features, understand which filters to use, and much more.
By Brian Clifton
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AI-Enabled Analytics for Business: A Roadmap for Becoming an Analytics PowerhouseThis book is your Roadmap to meet this essential business capability.
By Jesper H. Sorensen, Lawrence S. Maisel, Robert J. Zwerling
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Analytics and Dynamic Customer Strategy: Big Profits from Big DataUsing data from a five-year study to illustrate important concepts and scenarios along the way, this insightful book helps eliminate paralysis-by-analysis and optimize decision making for marketing performance.
By John F. Tanner Jr
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Analytics in a Big Data World: The Essential Guide to Data Science and its ApplicationsIncluding numerous case studies on risk management, fraud detection, customer relationship management, and web analytics, this essential book reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities.
By Bart Baesens
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Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning TechniquesIncluding industrial case studies of various domains, this book will help you examine business problems using a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language.
By Deepti Gupta
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Applied Predictive Analytics: Principles and Techniques for the Professional Data AnalystClearly explaining the theory behind predictive analytics, this guide teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling.
By Dean Abbott
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Basic Data Analysis for Time Series with RBalancing a theoretical and practical approach to analyzing data within the context of serial correlation, this book emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space.
By DeWayne R. Derryberry
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Be Data Analytical: How to Use Analytics to Turn Data into ValueLearn to use analytics more effectively, convert data into value and facilitate smarter and better decision-making for your organization.
By Jordan Morrow
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Book
Big Data Analytics for Cyber SecurityAuthored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article documents and discusses such examples where big data analytics techniques can be used to tackle some of the difficult security challenges like Advanced Persistent Threat (APT), big ticket breaches plaguing both private and public sectors today.
By Bharath Krishnappa
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Book
Big Data Analytics for Cyber-Physical SystemsThis book highlights research and survey articles dedicated to big data techniques for cyber-physical system (CPS), which addresses the close interactions and feedback controls between cyber components and physical components.
By Bei Yu, Shiyan Hu
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Book
Big Data Analytics for Internet of ThingsThis book delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security.
By Mohammad Ahsan Chishti, Tausifa Jan Saleem
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Big Data Analytics for Large-Scale Multimedia SearchIncluding numerous tables, illustrations, and figures, this book presents a timely overview of cutting-edge technologies for multimedia retrieval with a special emphasis on scalability.
By Benoit Huet, Edward Y. Chang, Ioannis Kompatsiaris (eds), Stefanos Vrochidis
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Big Data Analytics Strategies for the Smart GridExploring the unique needs of electrical utility grids, including operational technology, IT, storage, processing, and how to transform grid assets for the benefit of both the utility business and energy consumers, this book not only provides specific examples that illustrate how analytics work and how they are best applied, but also describes how to avoid potential problems and pitfalls.
By Carol L. Stimmel
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Big Data Analytics: A Practical Guide for ManagersComparing and contrasting the different types of analysis commonly conducted with big data, this accessible reference presents clear-cut explanations of the general workings of big data tools.
By Kim H. Pries, Robert Dunnigan
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Big Data Analytics: Turning Big Data into Big MoneyFocusing on the business and financial value of big data analytics, this breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses how you can turn a business liability into actionable material.
By Frank Ohlhorst
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Big Data and Business AnalyticsPacked with case studies and the insights from some of the leading experts and organizations worldwide, this book shows you how to go from being data-rich to insight-rich, improving your decision making and creating competitive advantage.
By Jay Liebowitz (ed)
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Big Data and Health AnalyticsUsing non-technical language, this book is accessible to health care professionals who might not have an IT and analytics background. It includes case studies that illustrate the business processes underlying the use of big data and health analytics to improve health care delivery.
By Harold Lehmann, Katherine Marconi (eds)
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Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and AnalyticsPresenting a deep insight into the realm of big data as well as the methodology, technical architecture, analytics techniques and best practices, this handbook describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other.
By Harsha Srivatsa, Madhu Jagadeesh, Soumendra Mohanty
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Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's BusinessesBy making the topic accessible through stories, metaphors, and analogies even though it's a technical subject area, this timely book looks at cutting-edge companies supporting an exciting new generation of business analytics.
By Ambiga Dhiraj, Michael Minelli, Michele Chambers
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Big Data, Mining, and Analytics: Components of Strategic Decision MakingFilled with examples that illustrate the value of analytics throughout, this book outlines a conceptual framework for data modeling that can help you immediately improve your own analytics and decision-making processes.
By Stephan Kudyba
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Business Intelligence Guidebook: From Data Integration to AnalyticsDescribing best practices and pragmatic approaches so readers can put them into action, this clear and accessible book takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers.
By Rick Sherman
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Business Intelligence Strategy and Big Data Analytics: A General Management PerspectiveIncluding exercises and case studies with road-tested advice, this book provides ideas for improving the business performance of one's company or business functions, and emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies.
By Steve Williams
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Categorical Data Analysis, Third EditionProviding more than 100 analyses of data sets and over 600 exercises, this invaluable tool for statisticians and methodologists summarizes the latest methods for univariate and correlated multivariate categorical responses.
By Alan Agresti
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Cognitive Computing and Big Data AnalyticsFeaturing detailed case examples from the financial, healthcare, and manufacturing industries, this comprehensive guide will help technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming.
By Adrian Bowles, Judith Hurwitz, Marcia Kaufman
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Data & Analytics for Instructional DesignersData and Analytics for Instructional Designers addresses what learning and performance data you need, how to design learning experiences with data collection in mind, and how to use the data to improve and evaluate those experiences.
By Megan Torrance
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Data Analytics & Visualization All-in-One For DummiesInstall data analytics into your brain with this comprehensive introduction
By Alan R. Simon, Allen G. Taylor, Jack A. Hyman, John Paul Mueller, Jonathan Reichental, Joseph Schmuller, Lillian Pierson, Luca Massaron, Paul McFedries
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Data Analytics for Social Microblogging Platforms, First EditionData Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing.
By Asit Kumar Das, Debabrata Samanta, Saptarshi Ghosh, Soumi Dutta
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Data Analytics: Concepts, Techniques, and ApplicationsLarge data sets arriving at every increasing speeds require a new set of efficient data analysis techniques.
By Al-Sakib Khan Pathan (eds), Mohiuddin Ahmed
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Data Analytics: Principles, Tools, and Practices: A Complete Guide for Advanced Data Analytics Using the Latest Trends, Tools, and TechnologiesThe book introduces the essentials of data science and the modern ecosystem, including the important steps such as data ingestion, data munging, and visualization.
By Chitra Lele, Dr. Gaurav Aroraa, Dr. Munish Jindal
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Data Analytics: Systems Engineering - Cybersecurity - Project ManagementThis book gives the reader a perspective as to the overall data analytics skill set, starting with a primer on statistics, and works toward the application of those methods.
By Christopher Greco
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Data Driven: How Performance Analytics Delivers Extraordinary Sales ResultsBoth engaging and informative, this book is a uniquely practical guide to increasing sales success using the power of data analytics, and shows you how to transform the corporate sales function by leveraging big data into better decision-making, more informed strategy, and increased effectiveness throughout the organization.
By Jenny Dearborn
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Data Mining and Business Analytics with RContaining illustrations which explain how to use the outlined concepts in real-world situations, this thorough book provide readers with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification.
By Johannes Ledolter
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Data Mining and Predictive Analytics for Business Decisions: A Case Study ApproachThis book will assist data analysts to move up from simple tools such as Excel for descriptive analytics to answer more sophisticated questions using machine learning. Most of the exercises use R and Python, but rather than focus on coding algorithms, the book employs interactive interfaces to these tools to perform the analysis.
By Andres Fortino
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Data Mining and Predictive Analytics, Second EditionApplying a unified "white box" approach to data mining methods and models, this detailed second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis.
By Chantal D. Larose, Daniel T. Larose
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Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP ProPresenting an applied and interactive approach to data mining, this book uses engaging, real-world examples to build a theoretical and practical understanding of key data mining methods, especially predictive models for classification and prediction.
By Galit Shmueli, Mia L. Stephens, Nitin R. Patel, Peter C. Bruce
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Data Mining for Intelligence, Fraud & Criminal Detection: Advanced Analytics & Information Sharing TechnologiesWhether investigating money laundering, insider trading, insurance fraud, or terrorist behavior, this book reviews the commonality, framework, and infrastructures necessary to implement complex analytical systems.
By Christopher Westphal
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Data Mining ModelsFocusing on demonstrating common business data mining applications, this book provides exposure to the data mining process, to include problem identification, data management, and available modeling tools.
By David L. Olson
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Data Mining Models, Second EditionDescribing the benefits of data mining in business, this focused book details the process and typical business applications, the workings of basic data mining models, and demonstrates each with widely available free software.
By David L. Olson
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Data Mining: Practical Machine Learning Tools and Techniques, Fourth EditionTeaching readers everything they need to know to get going, this comprehensive resource offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations.
By Christopher J. Pal, Eibe Frank, Ian H. Witten, Mark A. Hall
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Data Modeler's Workbench: Tools and Techniques for Analysis and DesignBringing together the most effective tools for solving common modeling problems, this book provides an example of each tool and describes what it is, why it is needed, and how it is generally used to model data for both databases and data warehouses.
By Steve Hoberman
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Data Preparation for Analytics Using SASWritten for those involved in data preparation for analytics, this user-friendly text offers practical SAS coding tips and tricks, and provides readers with a conceptual background on data structures and considerations from the business point of view.
By Gerhard Svolba
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Data Quality for Analytics Using SASAnalytics offers many capabilities and options to measure and improve data quality, and SAS is perfectly suited to these tasks. This book focuses on selecting the right data sources and ensuring data quantity, relevancy, and completeness.
By Gerhard Svolba
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Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting DataSupported and explained with examples that you can replicate using open-source software, this insightful book focuses on concepts, principles and practical applications that are applicable to any industry and technology environment.
By EMC Education Services
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Data-Driven Healthcare: How Analytics and BI are Transforming the IndustryData is taking over in a powerful way, and it's revolutionizing the healthcare industry. This guide provides tables, checklists, and forms that allow you to take immediate action in implementing BI in your organization.
By Laura Madsen
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Databases for Small Business: Essentials of Database Management, Data Analysis, and Staff Training for Entrepreneurs and ProfessionalsIllustrating the steps in the book with four running case studies, this practical guide focuses on what you really need to know to create the right database for your small business and to leverage it most effectively to spur growth and revenue.
By Anna Manning
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Deep Learning for Data AnalyticsThis book provides readers with a focused approach for the design and implementation of deep learning concepts using data analytics techniques in large scale environments.
By Chattaranjan Pradhan, Himansu Das (eds), Nilanjan Dey
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Distributed Computing in Big Data Analytics: Concepts, Technologies and ApplicationsAddressing the key aspects of distributed processing in big data analytics, this valuable book tackles the essential concepts and patterns of distributed computing widely used in big data analytics.
By Ganesh Chandra Deka (eds), Robin Singh Bhadoria, Sourav Mazumder
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Driving Data Projects: A Comprehensive GuideDigital transformation and data projects are not new and yet, for many, they are a challenge. Driving Data Projects is a compelling guide that empowers data teams and professionals to navigate the complexities of data projects, fostering a more data-informed culture within their organizations.
By Christine Haskell
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Effective CRM using Predictive AnalyticsIncluding numerous real-world case studies, this step-by-step book bridges the gap between analytics and their use in everyday marketing, providing guidance on solving real business problems using data mining techniques.
By Antonios Chorianopoulos
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Fog Computing, Deep Learning and Big Data Analytic-Research DirectionsProviding a comprehensive overview of fog computing technology, this book explores research issues involved in the application of traditional shallow machine learning and deep learning techniques to big data analytics.
By C. S. R. Prabhu
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Formative Assessment, Learning Data Analytics and Gamification: In ICT EducationDiscussing the challenges associated with assessing student progress given the explosion of e-learning environments, this book shows educators how to effectively garner intelligent data from online educational environments that combine assessment and gamification.
By Robert Clarisó, Santi Caballé
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Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud DetectionEarly detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation.
By Bart Baesens, Véronique Van Vlasselaer, Wouter Verbeke
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Fundamentals of Predictive Analytics with JMP, Second EditionGoing beyond the theoretical foundation, this step-by-step book gives you the technical knowledge and problem-solving skills that you need to perform real-world multivariate data analysis.
By B. D. McCullough, Ron Klimberg
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Fundamentals of Predictive Analytics with JMP, Third EditionThis updated and expanded third edition of Fundamentals of Predictive Analytics with JMP bridges the gap between courses on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics.
By Ron Klimberg
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Google Analytics Breakthrough: From Zero to Business ImpactDesigned to provide a complete, best practices foundation in measurement strategy, implementation, reporting, and optimization, this comprehensive book systematically demystifies the broad range of Google Analytics features and configurations.
By Eric Fettman, Feras Alhlou, Shiraz Asif
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Google Analytics IntegrationsOffering an in-depth guide to improving your data integration, behavioral analysis, and ultimately, your bottom line, this book provides step-by-step guidance on using the latest analytical tools and services to gain a complete understanding of your customers, their needs, and what motivates them to take action.
By Daniel Waisberg
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Google Analytics, Third EditionBy helping you discover what information to track, how to choose the right goals and filters, and, most importantly, how to compile this data and use it to improve your Web site and attract more potential customers, this indispensible guide explains the concepts behind this amazing free tool.
By Jerri Ledford, Joe Teixeira, Mary E. Tyler
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Google BigQuery AnalyticsUsing real-world examples to demonstrate current best practices and techniques, this expert guide shows you how to effectively use BigQuery, avoid common mistakes, and execute sophisticated queries against large datasets.
By Jordan Tigani, Siddartha Naidu
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Google Business Solutions All-in-One For DummiesIf you have a small business, these eight self-contained minibooks will show you how to use the Google tools that are available at little or no cost, such as Google Apps, Google search tools for business, highlighting your business, and much more.
By Bud E. Smith, Ryan Williams
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Book
Guerrilla Analytics: A Practical Approach to Working with DataIllustrated with simple examples, practice tips, and war stories based on real-world project challenges, this book provides simple rules of thumb for maintaining data provenance across the entire analytics life cycle from data extraction, through analysis to reporting.
By Enda Ridge
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Harness Oil and Gas Big Data with Analytics: Optimize Exploration and Production with Data Driven ModelsIncluding a compendium of specific case studies, the book underscores the acute need for optimization in the oil and gas exploration and production stages and shows how data analytics can provide such optimization.
By Keith R. Holdaway
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Book
Human Capital Systems, Analytics, and Data MiningIncluding an overview of Human Capital Management Systems (HCMS), this book provides human capital professionals, researchers, and students with a comprehensive and portable guide to human capital systems, analytics and data mining.
By Robert C. Hughes
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Human-Centered Social Media AnalyticsProviding a unique view of applying human-centered computing in the social media scenario, this book looks at the classification and recognition of attributes, demographics, contexts, and correlations of human information among unconstrained visual data from the social media domain.
By Yun Fu (ed)
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Information Quality: The Potential of Data and Analytics to Generate KnowledgeShowcasing numerous case studies in a variety of application areas, this thorough book provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis.
By Galit Shmueli, Ron S. Kenett
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Installation, Upgrade, and Configuration of IBM Cognos AnalyticsThis book is for IT consultants, architects for systems and solutions, data analysts, and data analytics solution developers. All the examples in the book are based on Unix/Windows and web-based tool basic knowledge.
By Alan Bluck
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Book
Introduction to Google Analytics: A Guide for Absolute BeginnersWritten in easy-to-understand, conversational language, this book will help you develop your digital/online marketing skills and learn web analytics to understand the performance of websites and ad campaigns.
By Todd Kelsey
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JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fifth EditionFeaturing concept-specific lessons, examples, step-by-step illustrations, and exercises, this book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use the intuitive interface for data analysis in JMP.
By Ann Lehman, John Sall, Lee Creighton, Mia Stephens
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Julia as a Second Language: General purpose programming with a taste of data scienceJulia as a Second Language introduces Julia by building on your existing programming knowledge. You'll see Julia in action as you create a series of interesting projects that guide you from Julia's basic syntax through its advanced features.
By Erik Engheim
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Book
Julia for Data AnalysisMaster core data analysis skills using Julia. Interesting hands-on projects guide you through time series data, predictive models, popularity ranking, and more.
By Bogumił Kamiński
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Large-Scale Data AnalyticsWith many tips and insights from experience professionals, this book presents research that will help shape the future of large-scale data analytics, leading the way to the design of new approaches and technologies that can analyze and synthesize very large amounts of heterogeneous data.
By Abderrahim Labbi (eds), Aris Gkoulalas-Divanis
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Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and ChallengesThis book is intended to present the state of the art in research on machine learning and big data analytics.
By Aboul Ella Hassanien, Ashraf Darwish
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Book
Machine Learning with Spark and Python: Essential Techniques for Predictive Analysis, Second EditionDesigned specifically for those without a specialized math or statistics background, this book simplifies machine learning by focusing on two algorithm families that effectively predict outcomes, and by showing you how to apply them using the Python programming language.
By Michael Bowles
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Machine Learning: Algorithms and ApplicationsExplaining the concepts of machine learning algorithms, this practical book describes the application areas of each algorithm discussed, and uses simple, practical examples to help readers understand each algorithm.
By Eihab Bashier Mohammed Bashier, Mohssen Mohammed, Muhammad Badruddin Khan
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Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second EditionBased on the authors' practical experience in implementing data analysis and data mining, this proven go-to guide focuses on basic data analysis approaches that are necessary to make timely and accurate decisions in a diverse range of projects.
By Glenn J. Myatt, Wayne P. Johnson
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Marketing Analytics: Data-Driven Techniques with Microsoft ExcelAuthored by a data analysis expert, this practical resource shows you how to tap a simple and cost-effective tool, Microsoft Excel, to solve specific business problems using powerful analytic techniques-and achieve optimum results.
By Wayne L. Winston
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Mastering Microsoft Fabric: SAASification of AnalyticsLearn and explore the capabilities of Microsoft Fabric, the latest evolution in cloud analytics suites. This book will help you understand how users can leverage Microsoft Office equivalent experience for performing data management and advanced analytics activity.
By Debananda Ghosh
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Book
Mathematical Problems in Data Science: Theoretical and Practical MethodsContaining state-of-the-art knowledge for researchers in data science, this concise book is a valuable resource for researchers and professionals working in data science, information systems and networks.
By Bo Jiang, Li M. Chen, Zhixun Su
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Military Applications of Data AnalyticsA collection of technical and application-oriented use cases, this book enables decision makers and technologists to make connections between data analytics and such fields as virtual reality and cognitive science that are driving military organizations around the world forward.
By Kevin Huggins (ed)
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Book
MIT Sloan Management Review Article on Managing Data Privacy Risk in Advanced AnalyticsCybersecurity techniques that keep personal data safe can limit its use for analytics - but data scientists, data owners, and IT can partner more closely to find middle ground.
By Gregory Vial, Julien Crowe, Patrick Mesana
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Book
Modern Data Mining Algorithms in C++ and CUDA C: Recent Developments in Feature Extraction and Selection Algorithms for Data ScienceDiscover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured variables.
By Timothy Masters
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Opinion Analysis in Interactions: From Data Mining to Human-Agent InteractionThe aim of this book is to present methods based on artificial intelligence through a combination of machine learning models and symbolic approaches.
By Chloé Clavel
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Book
Optimize Your Greatest Asset: Your People: How to Apply Analytics to Big Data to Improve Your Human Capital InvestmentsPacked with practical examples and case studies, this detailed guide brings advanced analytics into Human Resources, giving you a framework for optimizing human capital investments through predictive analysis.
By Gene Pease
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Performance Marketing with Google Analytics: Strategies and Techniques for Maximizing Online ROIHow do visitors get to your Web site? What do they do when they get there? How can you turn visitors into customers? This practical book's case studies and step-by-step guidance demonstrate how to improve your marketing strategy with Google Analytics.
By Caleb Whitmore, Justin Cutroni, Sebastian Tonkin
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Practical Google Analytics and Google Tag Manager for DevelopersAuthored by a data evangelist and Google Analytics expert and the team at LunaMetrics, this book offers foundational knowledge, a collection of practical Google Tag Manager recipes, well-tested best practices, and troubleshooting tips to get your implementation in tip-top condition.
By Jonathan Weber
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Practical Text Analytics: Interpreting Text and Unstructured Data for Business IntelligenceIncluding illustrations and charts, hints and tips, definitions, and case studies/examples, this accessible guide to the many advances in text analytics explains the different approaches and methods, their uses, strengths, and weaknesses, in a way that is relevant to marketing professionals.
By Steven Struhl
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Practical Text Mining and Statistical Analysis for Non-structured Text Data ApplicationsIncluding extensive case studies, most in a tutorial format, this comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis.
By Gary Miner, et al.
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Predictive Analytics and Data Mining: Concepts and Practice with RapidMinerWhether you are brand new to data mining or working on your tenth project, this easy-to-understand book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions.
By Bala Deshpande, Vijay Kotu
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Predictive Analytics for DummiesExploring the power of predictive analytics and how you can use it to make valuable predictions for your business, this nuts-and-bolts guide helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions.
By Anasse Bari, Mohamed Chaouchi, Tommy Jung
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Predictive Analytics for Dummies, 2nd EditionProviding tips on outlining business goals and approaches, this friendly guide will help you discover the core of predictive analytics and get started putting it to use with readily available tools to collect and analyze data.
By Anasse Bari, Mohamed Chaouchi, Tommy Jung
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Book
Predictive Analytics for Human ResourcesGetting down to the nature of data and examining the critical issues of sources, ownership, and quality, this book offers human resource professionals the information and tools they need to harness the power of analytics and determine future outcomes.
By Jac Fitz-enz, John R. Mattox, II
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Book
Predictive Analytics Using Oracle Data Miner: Develop & Use Data Mining Models in Oracle Data Miner, SQL & PL/SQLCovering topics for the data scientist, Oracle developer, and Oracle database administrator, this insightful guide shows you how to get started with Oracle Data Miner and build Oracle Data Miner models using SQL and PL/SQL packages.
By Brendan Tierney
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Book
Predictive Analytics with Microsoft Azure Machine Learning, Second EditionUsing task-oriented descriptions and concrete end-to-end examples, this book describes all aspects of Microsoft Azure Machine Learning, from data ingress to applying machine learning, evaluating the models, and deploying them as web services.
By Roger Barga, Valentine Fontama, Wee Hyong Tok
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Book
Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and MethodsHelping managers make the most of data technologies in their business area, this easy to read, in-depth guide provides readers with a solid understanding of predictive analytics, and how it should be applied to improve business decision-making and operational efficiency.
By Steven Finlay
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Book
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or DieRevealing the power and perils of prediction, this rich, entertaining book explores how technology literally learns from data how to predict the future behavior of individuals.
By Eric Siegel
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Book
Predictive Marketing: Easy Ways Every Marketer Can Use Customer Analytics and Big DataOffering practical tips and actionable strategies for implementing more personalized marketing immediately, this book provides the information and insight you need to lift your organization out of the campaign rut and into the rarefied atmosphere of a truly personalized customer experience.
By Dominique Levin, Ömer Artun
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Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Second EditionProviding exercises at the end of each chapter, this book offers the theory behind, programming steps for, and examples of predictive modeling with SAS Enterprise Miner.
By Kattamuri S. Sarma
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Book
Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Third EditionWritten for business analysts, data scientists, statisticians, students, predictive modelers, and data miners, this comprehensive text provides examples that will strengthen your understanding of the essential concepts and methods of predictive modeling.
By Kattamuri S. Sarma
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Book
Process Analytics: Concepts and Techniques for Querying and Analyzing Process DataChiefly focusing on concepts, techniques and methods, this book covers a large body of knowledge on process analytics - including process data querying, analysis, matching and correlating process data and models - to help practitioners and researchers understand the underlying concepts, problems, methods, tools and techniques involved in modern process analytics.
By Seyed-Mehdi-Reza Beheshti, et al.
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Python Data Analytics: Data Analysis and Science Using Pandas, Matplotlib, and the Python Programming LanguageBy expertly showing the strength of the Python programming language when applied to processing, managing and retrieving information, this book will help you tackle the world of data acquisition and analysis using the power of the Python language.
By Fabio Nelli
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Book
Real-Time Analytics: Techniques to Analyze and Visualize Streaming DataIncluding in-depth case studies, this essential book teaches data analysts technologies to build an effective real-time analytics platform that can be used to make sense of the constantly changing data that is beginning to outpace traditional batch-based analysis platforms.
By Byron Ellis
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Book
Social Data Analytics: Collaboration for the EnterpriseIncluding case studies and practical examples of success and failures, this is a practical guide for those who want to employ social data for analytics and business intelligence (BI), and provides a four-step approach to the social BI process that will help you access, evaluate, collaborate, and share social data with ease.
By Krish Krishnan, Shawn P. Rogers
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Book
Social Media Analytics Strategy: Using Data to Optimize Business PerformanceFrom understanding the data and its sources to detailed metrics, dashboards, and reports, this book is a robust tool for anyone seeking a tangible return on investment from social media and digital marketing.
By Alex Gonçalves
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Book
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second EditionProviding simple yet insightful quantitative techniques, this book contains essays offering detailed background, discussion, and a truly nitty-gritty, step-by-step method that both tyros and experts in the field can enjoy playing with.
By Bruce Ratner
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Book
Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge DiscoveryPresenting a coherent, technical introduction to modern statistical learning and analytics, starting from the core foundations of statistics and probability, this book includes an overview of probability and statistical distributions, basics of data manipulation and visualization, and the central components of standard statistical inferences.
By Walter W. Piegorsch
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Book
Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced AnalyticsExploring a number of big data concepts and how they can be applied to improve your organization's analytics, this user-friendly handbook shows you step by step how to design, incorporate, and profit from a world-class advanced analytics ecosystem in today's big data environment.
By Bill Franks
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Book
Text Analytics with Python: A Practical Real-World Approach to Gaining Actionable Insights from your DataHelping you derive useful insights from your data using Python, this book teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem.
By Dipanjan Sarkar
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Text Mining in Practice with RWith the help of numerous real-world examples and case studies, this book takes a practical, hands-on approach to teaching you a reliable, cost-effective method to mining the vast, untold riches buried within all forms of text using R.
By Ted Kwartler
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Book
The Analytics Lifecycle Toolkit: A Practical Guide for an Effective Analytics CapabilityFor organizations who see the value of analytics but lack the depth of knowledge needed to structure appropriate solutions, this book breaks the cycle of frustration and provides a roadmap for putting the right people, processes, and technologies into place.
By Gregory S. Nelson
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Book
The Analytics Revolution: How to Improve Your Business By Making Analytics Operational in The Big Data EraDelving into the requirements for laying a solid technical and organizational foundation that is capable of supporting operational analytics at scale, this book presents everything you need to implement operational analytic processes with big data.
By Bill Franks
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Book
The Art and Science of Analyzing Software DataProviding valuable information on analysis techniques often used to derive insight from software data, this book includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source.
By Christian Bird, Tim Menzies (eds)
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The Data and Analytics Playbook: Proven Methods for Governed Data & Analytic QualityDrawing upon the authors' years of practical experience, and using numerous examples in the format of an easy to understand playbook, this resource presents a clear set of methods to provide reliable governance, controls, risk, and exposure management for enterprise data and the programs that rely upon it.
By Dan Meers, Gregory Lampshire, Lowell Fryman
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Unstructured Data Analytics: How to Improve Customer Acquisition, Customer Retention, and Fraud Detection and PreventionWritten by global experts in the analytics space, this accessible, non-technical book presents unstructured data analysis (UDA) concepts in a practical way, highlighting the broad scope of applications across industries, companies, and business functions.
By Jean Paul Isson
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Visualize This: The FlowingData Guide to Design, Visualization, and Statistics, Second EditionOne of the most influential data visualization books-updated with new techniques, technologies, and examples
By Nathan Yau
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Win with Advanced Business Analytics: Creating Business Value from Your DataUniquely focusing on integrating multiple types of big data intelligence into your business, this plain-English book is filled with case studies across a variety of industries and provides the essential concepts and framework to implement business analytics.
By Jean Paul Isson, Jesse Harriott
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Working with Text: Tools, Techniques and Approaches for Text MiningProviding cross-disciplinary perspectives on text mining and its applications, this book offers focused studies describing text mining on historical texts, automated indexing using constrained vocabularies, and the use of natural language processing to explore the climate science literature.
By Emma L. Tonkin, Gregory J.L. Tourte (eds)
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3D Computer Vision: Efficient Methods and Applications, Second EditionReviewing a range of triangulation-based methods, this indispensable text introduces the foundations of three-dimensional computer vision and describes recent contributions to the field.
By Christian Wöhler
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A Different Look at Artificial Intelligence: On Tour with Bergson, Proust and NabokovA book that offers unusual perspectives on artificial intelligence.
By Ulrich Furbach, Ulrike Barthelmeß
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A Guided Tour of Artificial Intelligence Research: Volume II: AI AlgorithmsThis book is to provide an overview of AI research, ranging from basic work to interfaces and applications, with as much emphasis on results as on current issues.
By Henri Prade, Odile Papini, Pierre Marquis
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A Machine Learning Approach to Phishing Detection and DefenseHelping your business or organization avoid costly damage from phishing sources, this thorough guide demonstrates how a machine learning algorithm can be used as an effective and efficient tool in detecting phishing websites and designating them as information security threats.
By Elahe Fazeldehkordi, Iraj Sadegh Amiri, Oluwatobi Ayodeji Akanbi
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A Matrix Algebra Approach to Artificial IntelligenThis book offers a comprehensive and in-depth discussion of matrix algebra theory and methods for these four core areas of AI, while also approaching AI from a theoretical matrix algebra perspective.
By Xian-Da Zhang
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A Perspective on Artificial Intelligence in ManufacturingThis book investigates the rapid developments of Artificial intelligence (AI) as well as their capability to address efficiently and in a cost-effective manner issues of the manufacturing field.
By George Chryssolouris, Kosmas Alexopoulos, Zoi Arkouli
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A Practical Introduction to Computer Vision with OpenCVA heavily illustrated, practical introduction to an exciting field, this detailed resource explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries.
By Kenneth Dawson-Howe
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A Primer on Generative Adversarial NetworksThis book is meant for readers who want to understand GANs without the need for a strong mathematical background.
By Sanaa Kaddoura
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Book
A Roadmap for Enabling Industry 4.0 by Artificial IntelligenceThe book presents comprehensive and up-to-date technological solutions to the main aspects regarding the applications of artificial intelligence to Industry 4.0.
By Harish Garg, Jyotir Moy Chatterjee, R. N. Thakur
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Active Lighting and Its Application for Computer V: 40 Years of History of Active Lighting TechniquesThis book describes active illumination techniques in computer vision.
By Daisuke Miyazaki, Hiroshi Kawasaki, Katsushi Ikeuchi, Ryo Furukawa, Ryusuke Sagawa, Yasuhiro Mukaigawa, Yasuyuki Matsushita
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Adaptive Machine Learning Algorithms with Python: Solve Data Analytics and Machine Learning Problems on Edge DevicesThis book covers a multitude of data processing challenges, ranging from the simple to the complex.
By Chanchal Chatterjee
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Book
Adopting AI for Business Transformation: Complete Guide to Harness AI to Stay Competitive and Future Proof NEW!Adopting AI for Business Transformation offers a comprehensive guide for businesses ready to transition into AI and automation and transform their operations and ways of working. The book focuses on various industries providing practical insights and step-by-step guides for AI adoption and integration.
By Andrea Marchiotto
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Book
Advanced Analytics and Deep Learning ModelsAdvanced analytics is a mixture of machine learning, artificial intelligence, graphs, text mining, data mining, semantic analysis.
By Amit Kumar Tyagi, Archana Mire, Shaveta Malik
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Advanced Applied Deep Learning: Convolutional Neural Networks and Object DetectionDevelop and optimize deep learning models with advanced architectures, this book teaches you the intricate details and subtleties of the algorithms that are at the core of convolutional neural networks.
By Umberto Michelucci
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Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP ExamplesContaining practical real-world examples of data analytics, this book will provide you with a broad foundation of advanced data analytics concepts and knowledge of the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB.
By Sayan Mukhopadhyay
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Advanced Fingerprint Recognition: From 3D Shape toThis book presents the state of the art in the acquisition and analysis of 3D and high-resolution fingerprints. Based on the authors' research, this book focuses on advanced fingerprint recognition using 3D fingerprint f
By David Zhang, Feng Liu, Qijun Zhao
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Advanced Machine Learning: Fundamentals and AlgorithmsOur book is divided into several useful concepts and techniques of machine learning. This book serves as a valuable resource for individuals seeking to deepen their understanding of advanced topics in this field.
By Dr. Amit Kumar Tyagi, Dr. Avinash Kumar Sharma, Dr. Khushboo Tripathi
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Advanced Methods and Deep Learning in Computer VisionAdvanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5-10 years. The book provides clear explanations of principles and algorithms supported with applications.
By E. R. Davies, Matthew Turk
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Advanced Topics in Computer VisionProviding an overview of challenging areas and descriptions of novel algorithms, this authoritative book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition.
By Giovanni Maria Farinella, Roberto Cipolla (eds), Sebastiano Battiato
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Advances in Deep Learning Applications for Smart CitiesAdvances in Deep Learning Applications for Smart Cities provides a global perspective on current and future trends concerning the integration of deep learning and blockchain for smart cities. It provides valuable insights on the best practices and success factors for smart cities.
By Rajeev Kumar, Rakesh Kumar Dwivedi
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Advances in Financial Machine LearningWith step-by-step clarity and purpose, this one-of-a-kind, practical guidebook is your go-to resource of authoritative insight into using advanced machine learning solutions to overcome real-world investment problems.
By Marcos López de Prado
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Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial IntelligenceIn this book, we review the latest developments in adversarial attack technologies in computer vision; natural language processing; and cybersecurity with regard to multidimensional, textual and image data, sequence data, and temporal data.
By Aneesh Sreevallabh Chivukula, Bo Liu, Wanlei Zhou, Wei Liu, Xinghao Yang
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Agile Artificial Intelligence in Pharo: Implementing Neural Networks, Genetic Algorithms, and NeuroevolutionCover classical algorithms commonly used as artificial intelligence techniques and program agile artificial intelligence applications using Pharo. This book takes a practical approach by presenting the implementation details to illustrate the numerous concepts it explains.
By Alexandre Bergel
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Agile Autonomy: Learning High-Speed Vision-Based FlightThis book presents the astonishing potential of deep sensorimotor policies for agile vision-based quadrotor flight.
By Antonio Loquercio
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Agile Machine Learning: Effective Machine Learning Inspired by the Agile ManifestoTeaching you how to deliver superior data products through agile processes, this book shows you, through example, how to organize and manage a fast-paced team challenged with solving novel data problems at scale, in a production environment.
By Eric Carter, Matthew Hurst
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Agricultural Informatics: Automation Using the IoT and Machine LearningThis book focuses on all these topics, including a few case studies, and they give a clear indication as to why these techniques should now be widely adopted by the agriculture and farming industries.
By Amitava Choudhury, Amlan Chakrabarti, Arindam Biswas, Manish Prateek
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AI and Blockchain in HealthcareThis book presents state-of-the-art blockchain and AI advances in health care. Healthcare service is increasingly creating the scope for blockchain and AI applications to enter the biomedical and healthcare world.
By Bipin Kumar Rai, Gautam Kumar, Vipin Balyan
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AI and Cognitive Modelling for EducationThis book offers a groundbreaking approach to bridging the gap between various disciplines involved in cognitive modeling in education.
By Andrej Flogie, Boris Aberšek, Igor Pesek
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AI and UX: Why Artificial Intelligence Needs User ExperienceWritten for a wide reading audience who all share the goal of shaping AI-informed products and services, this book provides context for AI that is rare to find today: how to learn from AIs past to shape it for today and the future.
By Gavin Lew, Robert M. Schumacher Jr.
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AI as a Service: Serverless Machine Learning with AWSWith easy-to-digest instruction and two complete hands-on serverless AI builds, this must-read guide is a practical handbook to building and implementing serverless AI applications, without bogging you down with a lot of theory.
By Eóin Shanaghy, Peter Elger
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AI Assurance: Towards Trustworthy, Explainable, Safe, and Ethical AIAI Assurance: Towards Trustworthy, Explainable, Safe, and Ethical AI provides readers with solutions and a foundational understanding of the methods that can be applied to test AI systems and provide assurance.
By Feras A. Batarseh, Laura Freeman
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AI Computing Systems: An Application Driven Perspective, First EditionAI Computing Systems: An Application Driven Perspective adopts the principle of "application-driven, full-stack penetration" and uses the specific intelligent application of "image style migration" to provide students with a sound starting place to learn.
By Ling Li, Qi Guo, Wei Li, Yunji Chen, Zichen Xu, Zidong Du
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AI for Good: Applications in Sustainability, Humanitarian Action, and HealthDiscover how AI leaders and researchers are using AI to transform the world for the better
By Juan M. Lavista Ferres, William B. Weeks
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AI for Healthcare with Keras and Tensorflow 2.0: Design, Develop, and Deploy Machine Learning Models Using Healthcare DataThis book will give you a clear understanding of how the healthcare system works and how to apply ML and deep learning tools and techniques to the healthcare industry.
By Anshik
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AI for Humanity: Building a Sustainable AI for the FutureAI For Humanity: Building a Sustainable AI for the Future delivers an incisive and timely discussion of how to design, build, and implement cutting-edge AI in for-profit firms and other organizations in a responsible, sustainable, and ethical way.
By Andeed Ma, James Ong, Siok Siok Tan
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AI for Social Good: Using Artificial Intelligence to Save the WorldUnderstand the real power of AI and and its ability to shape the future for the better.
By Rahul Dodhia
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AI Horizons: Shaping a Better Future Through Responsible Innovation and Human CollaborationAs we stand on the brink of a new era, this book offers a comprehensive exploration of AI's ethical, social, and technological implications.
By Enamul Haque
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AI in the Financial Markets: New Algorithms and SolutionsThis book is divided into two parts, the first of which describes AI as we know it today, in particular the Fintech-related applications.
By Federico Cecconi
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AI Management System Certification According to the ISO/IEC 42001 Standard: How to Audit, Certify, and Build Responsible AI SystemsThe book is unique because it provides implementation guidance on the new certification and conformity assessment process required by the new ISO Standard on Artificial Intelligence (ISO 42001:2023 Artificial Intelligence Management System) published by ISO in August 2023. This is the first book that addresses this issue.
By Sid Ahmed Benraouane
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AI Startup Strategy: A Blueprint to Building Successful Artificial Intelligence Products from Inception to ExitThis book guides you through each step, from defining the business need and business model, all the way to registering IP and calculating your AI start-up valuation.
By Adhiguna Mahendra
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AI-Driven Project Management: Harnessing the Power of Artificial Intelligence and ChatGPT to Achieve Peak Productivity and SuccessAccelerate your next project with artificial intelligence and ChatGPT
By Kristian Bainey
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AI-ML for Decision and Risk Analysis: Challenges and Opportunities for Normative Decision TheoryThis book explains and illustrates recent developments and advances in decision-making and risk analysis.
By Louis Anthony Cox Jr.
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AI-Powered Bitcoin Trading: Developing an Investment Strategy with Artificial IntelligenceSurvive and thrive amongst the professional traders using sophisticated cryptocurrency analysis and trading techniques
By Eoghan Leahy
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AI-Powered Developer: Build software with ChatGPT and CopilotAI-Powered Developer: Build software with ChatGPT and Copilot teaches you in concrete detail how to maximize the impact of AI coding tools in real-world software development. In it, you'll walk through a complete application, introducing AI into every step of the workflow. You'll use ChatGPT and Copilot to generate code and ideas, make predictive suggestions, and develop a self-documenting application. You'll also learn how AI can help test and explain your code.
By Nathan B. Crocker
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Alexa for Seniors in Easy StepsGuiding you through setting up your Alexa-enabled device so you don't have to ask the kids, this book shows the senior reader how to use Alexa to help with everyday tasks, will give you peace of mind and keep you safe.
By Nick Vandome
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Algorithmic and Artificial Intelligence Methods for Protein BioinformaticsFeaturing a collection of authoritative articles by leaders in the field, this in-depth reference focuses on the analysis of protein sequences, structures, and interaction networks using both traditional algorithms and Artificial Intelligence (AI) methods.
By Jianxin Wang, Min Li (eds), Yi Pan
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Algorithms of the Intelligent Web, Second EditionThis book teaches the most important approaches to algorithmic web data analysis, enabling you to create your own machine learning applications that crunch, munge, and wrangle data collected from users, web applications, sensors and website logs.
By Dmitry Babenko, Douglas G. McIlwraith, Haralambos Marmanis
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An Introduction to Machine LearningPresenting basic ideas of machine learning in a way that is easy to understand, this book provides hands-on practical advice, uses simple examples, and motivates students with discussions of interesting applications.
By Miroslav Kubat
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Application of Machine Learning Models in Agricultural and Meteorological SciencesThis book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables.
By Akram Seifi, Fatemeh Barzegari Banadkooki, Mohammad Ehteram
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Applications of Machine Learning and Deep Learning for Privacy and CybersecurityApplications of Machine Learning and Deep Learning for Privacy and Cybersecurity provides machine and deep learning methods for analysis and characterization of events regarding privacy and anomaly detection as well as for establishing predictive models for cyber attacks or privacy violations.
By Anacleto Correia, Victor Lobo
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Applied Artificial Intelligence: An Engineering ApproachModern AI applications are not built from scratch but by integrating off-the-shelf components: libraries, frameworks, and services. This insightful resource focuses on engineering user friendly, high-performance, and maintainable AI applications.
By Bernhard G. Humm
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Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python, Second EditionThis book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization, optimizers, optimization, metric analysis, and hyper-parameter tuning.
By Umberto Michelucci
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Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural NetworksWith complete and complex examples throughout, this book will teach you how to work with advanced topics in deep learning, and will show you strategies to address typical problems encountered when training deep neural networks.
By Umberto Michelucci
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Applied Deep Learning: Design and Implement Your Own Neural Networks to Solve Real-World ProblemsDeep Learning has become increasingly important due to the growing need to process and make sense of vast amounts of data in various fields. If you want to gain a deeper understanding of the techniques and implementations of deep learning, then this book is for you.
By Dr. Neeraj Kumar, Dr. Rajkumar Tekchandani
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Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMsThis book provides a deep dive into the world of generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard. It serves as a one-stop resource for anyone interested in understanding and applying this transformative technology and is particularly aimed at those just getting started with generative AI.
By Adarsha Shivananda, Akshay Kulkarni, Anoosh Kulkarni, Dilip Gudivada
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Applied Machine Learning for Health and Fitness: A Practical Guide to Machine Learning with Deep Vision, Sensors and IoTAccompanied by practical step-by-step Python code samples and Jupyter notebooks, this comprehensive guide acts as a reference for a data scientist, machine learning practitioner or anyone interested in AI applications.
By Kevin Ashley
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Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural LanguageLearn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation.
By Taweh Beysolow II
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Applied Neural Networks with TensorFlow 2: API Oriented Deep Learning with PythonImplement deep learning applications using TensorFlow while learning the "why" through in-depth conceptual explanations.
By Orhan Gazi Yalçın
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Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat DetectionComprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using artificial intelligence (AI) and machine learning (ML)
By Mehak Khurana, Shilpa Mahajan, Vania Vieira Estrela
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Architectural Robotics: Ecosystems of Bits, Bytes, and BiologyLooking toward the next frontier in computing: interactive, partly intelligent, meticulously designed physical environments, this book examines how these architectural robotic systems will support and augment us at work, school, and home, as we roam, interconnect, and age.
By Keith Evan Green
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Argument Mining: Linguistic FoundationsThis book is an introduction to the linguistic concepts of argumentation relevant for argument mining, an important research and development activity which can be viewed as a highly complex form of information retrieval, requiring high-level natural language processing technology.
By Mathilde Janier, Patrick Saint-Dizier
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Book
Artificial Intelligence along the Customer Journey: A Customer Experience PerspectiveThis book provides a comprehensive understanding of the main artificial intelligence (AI) solutions available in the market.
By Ada Maria Barone, Emanuela Stagno
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Book
Artificial Intelligence and Cyber Security in Industry 4.0This book provides theoretical background and state-of-the-art findings in artificial intelligence and cybersecurity for industry 4.0 and helps in implementing AI-based cybersecurity applications.
By Danilo Pelusi, Joy Iong-Zong Chen, Velliangiri Sarveshwaran
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Artificial Intelligence and Deep Learning for Decision Makers: A Growth Hacker's Guide to Cutting Edge TechnologiesIncluding real-world success and failure stories, this book aims to help readers understand the concept of artificial intelligence and deep learning methods and how to implement them into their businesses and organizations.
By Jagreet Kaur, Navdeep Singh Gill
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Artificial Intelligence and Expert SystemsProviding a general introduction to the various branches of AI, this book is designed to identify some of the current applications and techniques of artificial intelligence as an aid to solving problems and accomplishing tasks.
By Garima Nagpal, Itisha Gupta
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Book
Artificial Intelligence and Human Evolution: Contextualizing AI in Human HistoryThis book explores, from a high level, the parallels between the evolution of humans and the evolution of machines.
By Ameet Joshi
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Book
Artificial Intelligence and Industry 4.0, First EditionArtificial Intelligence and Industry 4.0 explores recent advancements in blockchain technology and artificial intelligence (AI) as well as their crucial impacts on realizing Industry 4.0 goals.
By Aboul Ella Hassanien, Jyotir Moy Chatterjee, Vishal Jain
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Artificial Intelligence and Machine Learning for EDGE ComputingArtificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing.
By Neeraj Kumar Singh, Parul Verma, Rajiv Pandey, Sunil Kumar Khatri
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Artificial Intelligence and Machine Learning in Drug Design and DevelopmentThe book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs.
By Abhirup Khanna, Anand Nayyar, Manoj Kumar, May El Barachi, Sapna Jain
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Book
Artificial Intelligence and Machine Learning in the Travel Industry: Simplifying Complex Decision MakingOver the past decade, Artificial Intelligence has proved invaluable in a range of industry verticals such as automotive and assembly, life sciences, retail, oil and gas, and travel. The leading sectors adopting AI rapidly are Financial Services, Automotive and Assembly, High Tech and Telecommunications. Travel has been slow in adoption, but the opportunity for generating incremental value by leveraging AI to augment traditional analytics driven solutions is extremely high.
By Ben Vinod
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Artificial Intelligence and Problem SolvingOffering insight into solving some well-known AI problems using the most efficient problem-solving methods by humans and computers, this book discusses the importance of developing critical-thinking methods and skills, and develops a consistent approach toward each problem.
By Christopher Pileggi, Danny Kopec, David Ungar, Shweta Shetty
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Artificial Intelligence and the Arts: Computational Creativity, Artistic Behavior, and Tools for CreativesIn this book the editors put forward two core propositions: creative artistic behavior is one of the key challenges of artificial intelligence research, and computer-assisted creativity and human-centered artificial intelligence systems are the driving forces for research in this area.
By Gary Greenfield, Juan Romero, Penousal Machado
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Artificial Intelligence Applications and Reconfigurable ArchitecturesThis book covers the features of modern Field Programmable Gate Arrays (FPGA) devices, design techniques, and successful implementations pertaining to AI applications.
By Anuradha D. Thakare, Sheetal Umesh Bhandari
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Artificial Intelligence Applications in Banking and Financial Services: Anti Money Laundering and ComplianceThis book discusses all aspects of money laundering, starting from traditional approach to financial crimes to artificial intelligence-enabled solutions. It also discusses the regulators approach to curb financial crimes and how syndication among financial institutions can create a robust ecosystem for monitoring and managing financial crimes.
By Abhishek Gupta, Dwijendra Nath Dwivedi, Jigar Shah
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Artificial Intelligence BasicsDesigned as a self-teaching introduction to the fundamental concepts of artificial intelligence, this book's coverage includes searching processes, knowledge representation, machine learning, expert systems, programming, and robotics.
By Neeru Gupta, Ramita Mangla
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Artificial Intelligence Basics: A Non-Technical IntroductionThis book has arrived to equip you with a fundamental, timely grasp of AI and its impact.
By Tom Taulli
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Artificial Intelligence Design and Solution for Risk and SecurityThrough various case studies that the reader will understand and benefit from, this book aims to help readers understand, learn, define problems, and architect AI projects.
By Archie Addo, Muthu Shanmugam, Srini Centhala
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Book
Artificial Intelligence for .NET: Speech, Language, and Search: Building Smart Applications with Microsoft Cognitive Services APIsWith examples in C# that can easily be applied across a wide range of platforms, including web, desktop, and mobile, this book is your accessible and practical guide to building AI-powered applications using the easy-to-use Cognitive Services APIs from Microsoft.
By Nishith Pathak
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Book
Artificial Intelligence for Asset Management and Investment: A Strategic PerspectiveThis book explains how artificial Intelligence for Asset Management and Investment makes this difficulty a thing of the past, providing you with a professional and accessible framework for setting up and running artificial intelligence in your financial operations.
By Al Naqvi
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Book
Artificial Intelligence for Audit, Forensic Accounting, and Valuation: A Strategic PerspectiveAccounting and auditing firms need a comprehensive framework for intelligent, automation-centric modernization. This book delivers just that-a plan to evolve legacy firms by building firmwide AI capabilities.
By Al Naqvi
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Book
Artificial Intelligence for Autonomous NetworksOutlining the new frontiers for autonomous networks, this invaluable resource highlights their impact and benefits to consumers and enterprise customers
By Mazin Gilbert (ed)
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Book
Artificial Intelligence for Business Analytics: Algorithms, Platforms and Application ScenariosThis book provides a concise introduction to the essential aspects of using artificial intelligence methods for business analytics, presents machine learning and the most important algorithms in a comprehensible form using the business analytics technology framework, and shows application scenarios from various industries.
By Felix Weber
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Book
Artificial Intelligence for Business: A Roadmap for Getting Started with AIHelping with the identification of which business problems and opportunities are right for AI, this book provides the reader with an easy to understand roadmap for how to take an organization through the adoption of AI technology.
By Jason L. Anderson, Jeffrey L. Coveyduc
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Book
Artificial Intelligence for Developers in easy stepsArtificial Intelligence for Developers in easy steps is for coders who want to enhance their skillset quickly and easily. Artificial Intelligence (AI) is here to stay, and this guide reveals how AI works and illustrates how to build AI applications.
By Richard Urwin
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Book
Artificial Intelligence for DummiesMaking AI more accessible than ever, this hands-on book provides a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field.
By John Paul Mueller, Luca Massaron
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Artificial Intelligence For Dummies, 2nd EditionStarting with a basic definition of AI and explanations of data use, algorithms, special hardware, and more, this reference simplifies this complex topic for anyone who wants to understand what operates the devices we can't live without.
By John Mueller, Luca Massaron
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Book
Artificial Intelligence for Fashion: How AI is Revolutionizing the Fashion IndustryWith an application focused approach, this book provides real-world examples, breaks down technical jargon for non-technical readers, and provides an educational resource for fashion professionals.
By Leanne Luce
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Book
Artificial Intelligence for Games, Second EditionIncluding examples from over 100 real games, and 10 in-depth case studies, this comprehensive, professional tutorial walks through the entire development process from beginning to end, and introduces many techniques little-used by developers today.
By Ian Millington, John Funge
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Book
Artificial Intelligence for Human Computer Interaction: A Modern ApproachThis book explains about Artificial Intelligence.
By Otmar Hilliges, Yang Liu
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Book
Artificial Intelligence for Industries of the Future: Beyond Facebook, Amazon, Microsoft and GoogleThis book provides a brief synthesis of the known implementations, opportunities and challenges at the intersection of artificial intelligence (AI) and modern industry beyond the big-four companies that traditionally consume and produce such advanced technology: Facebook, Amazon, Microsoft and Google.
By Mayank Kejriwal
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Book
Artificial Intelligence for Learning: How to use AI to Support Employee DevelopmentCritically assess the impact of artificial intelligence on the L&D function and understand how to use it to improve learning in the workplace.
By Donald Clark
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Book
Artificial Intelligence for Learning: Using AI and Generative AI to Support Learner Development, Second EditionCritically assess the impact of artificial intelligence on the L&D function and understand how to use it to improve learning in the workplace.
By Donald Clark
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Book
Artificial Intelligence for Managers: Leverage the Power of AI to Transform Organizations & Reshape Your CareerThe book offers unique managerial frameworks to guide an organization's AI journey. The first section looks at what AI is; and how you can prepare for it, decide when to use it, and avoid pitfalls on the way. The second section dives into the different AI techniques and shows you where to apply them in business. The final section then prepares you from a strategic AI leadership perspective to lead the future of organizations.
By Malay A. Upad
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Book
Artificial Intelligence for Marketing: Practical ApplicationsA straightforward, non-technical guide to the next major marketing tool, this practical book will explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively.
By Jim Sterne
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Book
Artificial Intelligence for Risk ManagementExplaining how to use AI to manage risk in the corporate environment, this book defines risk, provides examples, and includes information on the risk-management process.
By Archie Addo, Muthu Shanmugam, Srini Centhala
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Book
Artificial Intelligence for SecurityExploring terminologies of security and how AI can be applied to automate security processes, this book provides practical examples and real-time use cases, as well as detailed explanations and recommendations for how implement procedures.
By Archie Addo, Muthu Shanmugam, Srini Centhala
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Book
Artificial Intelligence for Sustainable ApplicationsThe objective of this book is to leverage the significance of artificial intelligence in achieving sustainable solutions using interdisciplinary research through innovative ideas.
By B. Vinoth Kumar, K. Umamaheswari, S. K. Somasundaram
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Book
Artificial Intelligence for the Internet of EverythingConsidering the foundations, metrics and applications of Internet of Everything (IoE) systems, this book covers whether devices and IoE systems should speak only to each other, to humans or to both.
By Donald Sofge, Ira S. Moskowitz, Ranjeev Mittu, Stephen Russell (eds), William Lawless
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Book
Artificial Intelligence for Virtual RealityThis book explores the possible applications of Artificial Intelligence in Virtual environments.
By D. Jude Hemanth, Isabel de la Torre Diez, Madhulika Bhatia
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Book
Artificial Intelligence Foundations: Learning from experienceYou will delve into the theory behind AI and machine learning projects, examining techniques for learning from data, the use of neural networks and why algorithms are so important in the development of a new AI agent or system.
By Andrew Lowe
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Book
Artificial Intelligence in Daily LifeThis book discusses a number of critical issues, such as AI ethics and privacy, the development of a conscious mind, and autonomous robotics in our daily lives.
By Raymond S. T. Lee
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Book
Artificial Intelligence in Economics and Finance TheoriesThis book will use artificial intelligence to explain what these economic and finance theories mean in the context of the agent wanting to make a decision.
By Moloi
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Book
Artificial Intelligence in Healthcare IndustryThis book presents a systematic evolution of artificial intelligence (AI), its applications, challenges and solutions in the field of healthcare. The book mainly covers the foundations and various methods of learning in artificial intelligence with its application in healthcare industry.
By Basanta Barman, Jyotismita Talukdar, Thipendra P. Singh
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Book
Artificial Intelligence in Industry 4.0 and 5G TechnologyArtificial Intelligence in Industry 4.0 and 5G Technology helps readers solve real-world technological engineering optimization problems using evolutionary and swarm intelligence, mathematical programming, multi-objective optimization, and other cutting-edge intelligent optimization methods.
By Elias Munapo, Gerhard-Wilhelm Weber, J. Joshua Thomas, Pandian Vasant
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Book
Artificial Intelligence in Medical Sciences and Psychology: With Application of Machine Language, Computer Vision, and NLP TechniquesThe book covers ways to use neural networks to classify patients with diseases. You will know how to apply computer vision techniques and convolutional neural networks (CNNs) to segment diseases such as cancer (e.g., skin, breast, and brain cancer) and pneumonia.
By Tshepo Chris Nokeri
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Book
Artificial Intelligence in Performance-Driven Design: Theories, Methods, and ToolsA definitive, interdisciplinary reference to using artificial intelligence technology and data-driven methodologies for sustainable design
By Mehdi Ashayeri, Narjes Abbasabadi
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Book
Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve ProblemsPresenting 50 case studies of actual situations, this book is a fascinating look into how companies use AI and machine learning to solve problems.
By Bernard Marr, Matt Ward
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Book
Artificial Intelligence in Process Fault Diagnosis: Methods for Plant Surveillance NEW!Artificial Intelligence in Process Fault Diagnosis brings together insights from data science and machine learning to deliver an effective introduction to these advances and their potential applications. Balancing theory and practice, it walks readers through the process of choosing an ideal diagnostic methodology and the creation of intelligent computer programs. The result promises to place readers at the forefront of this revolution in manufacturing.
By Richard J. Fickelscherer
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Book
Artificial Intelligence in the 21st Century, Third EditionThis third edition provides a comprehensive, colorful, up-to-date, and accessible presentation of AI without sacrificing theoretical foundations.
By Danny Kopec, Sarhan M. Musa, Stephen Lucci
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Book
Artificial Intelligence in the Age of Neural Networks and Brain ComputingWith contributions from pioneers and experts in the field of neural networks, this book covers the major basic ideas of brain-like computing behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as future alternatives.
By Cesare Alippi, Francesco Carlo Morabito (eds), Robert Kozma, Yoonsuck Choe
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Book
Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second EditionArtificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines.
By Cesare Alippi, Francesco Carlo Morabito, Robert Kozma, Yoonsuck Choe
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Book
Artificial Intelligence Marketing and Predicting Consumer Choice: An Overview of Tools and TechniquesCutting through much of the murky language, the jargon, recondite formulations, and even utter nonsense surrounding this field, this accessible book will give you the practical information and pointers on applications that you need to know to succeed.
By Steven Struhl
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Book
Artificial Intelligence Methods for Optimization of the Software Testing Process: With Practical Examples and Exercises, First EditionArtificial Intelligence Methods for Optimization of the Software Testing Process: With Practical Examples and Exercises presents different AI-based solutions for overcoming the uncertainty found in many initial testing problems.
By Leo Hatvani, Sahar Tahvili
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Book
Artificial Intelligence Problems and Their SolutionsDiscussing the importance of developing critical-thinking methods and skills, and developing a consistent approach toward each problem, this book lends insight into solving some well-known artificial intelligence (AI) problems using the most efficient methods by humans and computers.
By Christopher Pileggi, Danny Kopec, Shweta Shetty
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Book
Artificial Intelligence Programming with Python: From Zero to HeroThe book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples.
By Perry Xiao
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Book
Artificial Intelligence Safety and SecurityIncluding contributions from leading scholars in a diverse set of fields, this resource is comprised of chapters addressing different aspects of the AI control problem as it relates to the development of safe and secure artificial intelligence.
By Roman V. Yampolskiy
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Book
Artificial Intelligence Techniques for Satellite IThe book will be of interest to both newcomers and experienced scientists working in the fields of satellite image processing, geo-engineering, remote sensing and Artificial Intelligence.
By D. Jude Hemanth
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Book
Artificial Intelligence, Cybersecurity and Cyber DefenceThis book explains the appropriation of artificial intelligence by military organizations, but also law enforcement agencies and the police; to discuss the questions that the development of artificial intelligence.
By Daniel Ventre (ed)
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Book
Artificial Intelligence, Machine Learning and Deep LearningIntroducing advanced beginners to basic machine learning and deep learning concepts and algorithms, this book is intended to be a fast-paced introduction to various "core" features of machine learning and deep learning, with code samples that are included in a university course.
By Oswald Campesato
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Book
Artificial Intelligence: A Bridge Between Psychoanalysis and Neurology: The Psi-Organ in a NutshellTo be able to merge the psyche with the neural system has been a long-sought goal. There is much scientific literature on results from research on this topic, but the goal of this "booklet" is to present the subject in a nutshell and to attract a wider audience to this highly complex topic.
By Dietmar Dietrich
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Book
Artificial Intelligence: A Systems ApproachOffering students and AI programmers a new perspective on the study of artificial intelligence concepts, this book has numerous up-to-date applications in game programming, intelligent agents, neural networks, artificial immune systems, and more.
By M. Tim Jones
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Book
Artificial Intelligence: Reshaping Life and BusinessProviding insight into various social and ethical issues, this book is a simple, explanatory, and descriptive guide for developers, technology consultants, and those interested in AI who want to understand the fundamentals of AI and implement it practically by devising smart solutions.
By Prabhat Kumar
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Book
Artificial Intelligent Techniques for Wireless Communication and NetworkingWireless communication and networking based on AI concepts and techniques are explored in this book, specifically focusing on the current research in the field by highlighting empirical results along with theoretical concepts.
By K. Ananthajothi, R. Kanthavel, R. Karthik Ganesh, S. Balamurugan
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Book
Artificial Neural Networks for Engineering ApplicationsThis book presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods.
By Alma Y. Alanis, Carlos López-Franco (eds), Nancy Arana-Daniel
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Book
Artificial Neural Networks with Java: Tools for Building Neural Network ApplicationsShowing you how to use Java to develop neural network applications, this practical book uses a step-by-step approach including plenty of examples, diagrams, and screenshots to facilitate your learning experience.
By Igor Livshin
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Book
Artificial Neural Networks with TensorFlow 2: ANN Architecture Machine Learning ProjectsDevelop machine learning models across various domains. This book offers a single source that provides comprehensive coverage of the capabilities of TensorFlow 2 through the use of realistic, scenario-based projects.
By Poornachandra Sarang
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Book
Automated Deep Learning Using Neural Network Intelligence: Develop and Design PyTorch and TensorFlow Models Using PythonThis book includes practical examples illustrating automated deep learning approaches and provides techniques to facilitate your deep learning model development.
By Ivan Gridin
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Automated Machine Learning in Action"Automated Machine Learning in Action" reveals how you can automate the burdensome elements of designing and tuning your machine learning systems.
By Haifeng Jin, Qingquan Song, Xia Hu
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Automation and Collaborative Robotics: A Guide to the Future of WorkUnderstand the current and future research into technologies that underpin the increasing capabilities of automation technologies and their impact on the working world of the future.
By Peter Matthews, Steven Greenspan
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Autonomous Mobile Robots in Unknown Outdoor EnvironmentsDiscussing many aspects of field robotic systems, this book provides a new framework and the related algorithms for designing autonomous mobile robotic systems in unknown outdoor environments.
By Chunxin Qiu, Mark Andrew Minor, Xiaorui Zhu, Youngshik Kim
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Autonomy and Artificial Intelligence: A Threat or Savior?Written by world-class researchers and scientists, this book explores how Artificial Intelligence (AI), by leading to an increase in the autonomy of machines and robots, is offering opportunities for an expanded but uncertain impact on society by humans, machines, and robots.
By Donald Sofge, Ranjeev Mittu, Stephen Russell (eds), W.F. Lawless
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Awkward Intelligence: Where AI Goes Wrong, Why It Matters, and What We Can Do about ItAn expert offers a guide to where we should use artificial intelligence-and where we should not.
By Katharina A. Zweig
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AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) ExamAWS Certified Machine Learning Study Guide: Specialty (MLS-CO1) Exam is an indispensable guide for anyone seeking to prepare themselves for success on the AWS Certified Machine Learning Specialty exam or for a job interview in the field of machine learning, or who wishes to improve their skills in the field as they pursue a career in AWS machine learning.
By Shreyas Subramanian, Stefan Natu
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Bayesian Inference for Probabilistic Risk Assessment: A Practitioner's GuidebookEmploying a modern computational approach known as Markov chain Monte Carlo (MCMC), this book provides an analytical structure for combining data and information from various sources to generate estimates of the parameters of uncertainty distributions used in risk and reliability models.
By Curtis Smith, Dana Kelly
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Bayesian Multiple Target Tracking, Second EditionProviding numerous examples that involve the use of particle filters, this book views multiple target tracking as a Bayesian inference problem and within this framework it develops the theory of single target tracking, multiple target tracking, and likelihood ratio detection and tracking.
By Kristine L. Bell, Lawrence D. Stone, Roy L. Streit, Thomas L. Corwin
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Bayesian Optimization in ActionBayesian Optimization in Action teaches you how to create efficient machine learning processes using a Bayesian approach.
By Quan Nguyen
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Bayesian Risk Management: A Guide to Model Risk and Sequential Learning in Financial MarketsOpening a discussion about uncertainty in model parameters, model specifications, and model-driven forecasts in a way that standard statistical risk measurement does not, this book provides a roadmap to better risk management through more circumspect measurement, with comprehensive treatment of model uncertainty.
By Matt Sekerke
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Bayesian Signal Processing: Classical, Modern, and Particle Filtering Methods, Second EditionWith an expansion of case studies that detail Bayesian solutions for a variety of applications, this comprehensive resource presents the Bayesian approach to statistical signal processing for a variety of useful model sets.
By James V. Candy
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Bayesian Statistics and MarketingDetailing the advantages of the Bayesian approach and nature of the computational revolution, this unique book provides a platform for researchers in marketing to analyze data with state-of-the-art methods and develop new models of consumer behavior.
By Greg M. Allenby, Peter E. Rossi, Robert McCulloch
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Beginning AI Bot Frameworks: Getting Started with Bot DevelopmentProviding a comprehensive look at all the major bot frameworks available, this book will teach you the basics for each framework helping you to get a clear picture for which one is best for your needs.
By Manisha Biswas
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Beginning Artificial Intelligence with the Raspberry PiProviding a gentle introduction to the world of Artificial Intelligence (AI) using the Raspberry Pi as the computing platform, this book explores most of the major AI topics, including expert systems, machine learning both shallow and deep, fuzzy logic control, and more.
By Donald J. Norris
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Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks, 1st EditionYou'll start with an introduction to AI, where you'll learn the history of neural networks and what sets deep learning apart from other varieties of machine learning.
By Liangqu Long, Xiangming Zeng
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Beginning Game AI with Unity: Programming Artificial Intelligence with C#Game developers will use this book to gain a basic knowledge of programming artificial intelligence using Unity and C#. You will not be bored learning the theory underpinning AI. Instead, you will learn by experience and practice, and complete an engaging project in each chapter.
By Sebastiano M. Cossu
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Beginning Machine Learning in the Browser: Quick-start Guide to Gait Analysis with JavaScript and TensorFlow.jsUsing JavaScript programming features along with standard libraries, this book takes advantage of the intricacies of the ML processes by using a simple, flexible and portable programming language to work with more approachable, fundamental coding ideas.
By Nagender Kumar Suryadevara
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Beginning MLOps with MLFlow: Deploy Models in AWS SageMaker, Google Cloud, and Microsoft AzureIntegrate MLOps principles into existing or future projects using MLFlow, operationalize your models, and deploy them in AWS SageMaker, Google Cloud, and Microsoft Azure. This book guides you through the process of data analysis, model construction, and training.
By Sridhar Alla, Suman Kalyan Adari
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Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications, First EditionThis book explains about Tensorflow.
By Mohan Kumar Silaparasetty
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Beyond AI: ChatGPT, Web3, and the Business Landscape of TomorrowThis book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries.
By Chunxiao Xing, Feng Zhu, Ken Huang, Xi Chen, Yang Wang
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Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and PractitionersProviding an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency.
By Jared Dean
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Brain-Computer Interface: Using Deep Learning ApplicationsThe brain-computer interface (BCI) is an emerging technology that is developing to be more functional in practice. The aim is to establish, through experiences with electronic devices, a communication channel bridging the human neural networks within the brain to the external world.
By Balamurugan Balusamy, Chandran Venkatesan, M.G. Sumithra, Mariofanna Milanova, Rajesh Kumar Dhanaraj
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Build a Large Language Model (From Scratch)Build a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you'll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you'll really understand it because you built it yourself!
By Sebastian Raschka
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Build a Website with ChatGPT: No coding experience necessaryBuild a Website with ChatGPT shows you how to make websites in an AI-first world-no experience required! You'll start with the basics of generating pages with ChatGPT, and by the end of the second chapter your first site will be up and running. Author Paul McFedries then shows you how to add interesting text and graphics, forms for user input, and even custom CSS to give your pages some pizzazz. As you go, you'll expand your new AI skills to create photo galleries, portfolios, catalog pages and more.
By Paul McFedries
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Build Autonomous Mobile Robot from Scratch using ROS: Simulation and HardwareStart from scratch and build a variety of features for autonomous mobile robots both in simulation and hardware. This book will show you how to simulate an autonomous mobile robot using ROS and then develop its hardware implementation.
By Rajesh Subramanian
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Build Better Chatbots: A Complete Guide to Getting Started with ChatbotsTaking you through the history of chatbots, including when they were invented and how they became popular, this book will show how to build a chatbot for your next project using best practices and focusing on the technological implementation and UX.
By Anik Das, Rashid Khan
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Building AI Driven Marketing Capabilities: Understand Customer Needs and Deliver Value Through AIThis book provides insight into technologies that offer competitive advantage in marketing.
By Mohit Maurya, Neha Zaidi, Pallavi Tyagi, Simon Grima
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Building Computer Vision Applications Using Artificial Neural Networks: With Examples in OpenCV and TensorFlow with Python, 2nd EditionComputer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition's publication. All code used in the book has also been fully updated.
By Shamshad Ansari
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Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with PythonContaining real examples that you can implement and modify to build useful computer vision systems, this book will teach you to apply computer vision and machine learning concepts in developing business and industrial applications using a practical, step-by-step approach.
By Shamshad Ansari
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Building Intelligent Systems: A Guide to Machine Learning EngineeringTeaching you about leveraging machine learning in practice, this book covers everything you need to produce a fully functioning Intelligent System, one that leverages machine learning and data from user interactions to improve over time and achieve success.
By Geoff Hulten
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Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for BeginnersUsing a systematic approach, this resource is a one-stop shop that takes the beginner on a journey to understanding the theoretical foundations and the practical steps for leveraging machine learning and deep learning techniques on problems of interest.
By Ekaba Bisong
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Building Telegram Bots: Develop Bots in 12 Programming Languages Using the Telegram Bot APIShowing how you can use bots for just about everything, this book teaches you about bot programming, using all the latest and greatest programming languages, including Python, Go, and Clojure, so you can feel at ease writing your Telegram bot in a way that suits you.
By Nicolas Modrzyk
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Business Strategy in the Artificial Intelligence EconomyOffering high value to a multitude of audiences, this book aims to capture the viewpoints of thought leaders from around the world and share their ideas on business strategy formation in a world of artificial intelligence.
By Al Naqvi (eds), J. Mark Munoz
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Business Writing with AI For DummiesLearn how to generate high quality, business documents with AI
By Sheryl Lindsell-Roberts
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Chatbots for eCommerce: Learn How to Build a Virtual Shopping AssistantIf you are a developer interested in learning how to build your own conversational bot from scratch, this book is for you. Upon completion, you will be able to build a text-based Facebook Messenger bot and a voice-based custom skill for Amazon's Alexa Voice Service.
By Amit Kothari, Joshua Hoover, Rania Zyane
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ChatGPT and Bard for Business Automation: Achieving AI-Driven GrowthLearning and using groundbreaking generative AI tools like ChatGPT and Google Bard can take some time. It's a journey that requires patience and flexibility. This book is an indispensable guide for any developer who wants to be a part of the ChatGPT and Bard revolution.
By Tom Taulli
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ChatGPT for Beginners: Features, Foundations, and ApplicationsIf you're a complete newbie who's wondering exactly what ChatGPT is, what is does, and how it can be a valuable resource for non-coders, this is the book for you. With a comprehensive exploration of ChatGPT's features, foundations, and applications, this guide will serve as a valuable resource for beginners venturing into the world of conversational AI.
By Eric Sarrion
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ChatGPT For DummiesChatGPT For Dummies demystifies the artificial intelligence tool that can answer questions, write essays, and generate just about any kind of text it's asked for. This powerful example of generative AI is widely predicted to upend education and business. In this book, you'll learn how ChatGPT works and how you can operate it in a way that yields satisfactory results.
By Pam Baker
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ChatGPT for Java: A Hands-on Developer's Guide to ChatGPT and Open AI APIsEmbrace the future of software development! ChatGPT for Java is the perfect starting point for Java developers to learn how to build intelligent applications using ChatGPT and Open AI APIs.
By Bruce Hopkins
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Cloud Native AI and Machine Learning on AWS: Use SageMaker for building ML models, Automate MLOps, and Take Advantage of Numerous AWS AI ServicesUsing machine learning and artificial intelligence (AI) in existing business processes has been successful. Even AWS's ML and AI services make it simple and economical to conduct machine learning experiments. This book will show readers how to use the complete set of AI and ML services available on AWS to streamline the management of their whole AI operation and speed up their innovation.
By David Bounds, Premkumar Rangarajan
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Coding with AI For DummiesBoost your coding output and accuracy with artificial intelligence tools
By Chris Minnick
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Cognitive Behavior and Human Computer Interaction Based on Machine Learning AlgorithmThis book is to provide the most relevant information on Human-Computer Interaction to academics, researchers, and students and for those from industry who wish to know more about the real-time application of user interface design.
By Rohit Raja, Sandeep Kumar, Shilpa Rani, Shrikant Tiwari
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Cognitive Computing and Big Data AnalyticsFeaturing detailed case examples from the financial, healthcare, and manufacturing industries, this comprehensive guide will help technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming.
By Adrian Bowles, Judith Hurwitz, Marcia Kaufman
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Cognitive Computing in Human Cognition: Perspectives and ApplicationsThis edited book designs the Cognitive Computing in Human Cognition to analyze to improve the efficiency of decision making by cognitive intelligence. The book is also intended to attract the audience who work in brain computing, deep learning, transportation, and solar cell energy.
By Amiya Ranjan Panda, Pradeep Kumar Mallick, Prasant Kumar Pattnaik, Valentina Emilia Balas
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Cognitive Engineering for Next Generation Computing: A Practical Analytical ApproachThis book gives a cognitive approach to the IoT provides connectivity to everyone and everything since IoT connected devices are known to increase rapidly. When the IoT is integrated with cognitive technology, performance is improved, and smart intelligence is obtained.
By E. Vamsidhar, G. R. Kanagachidambaresan, Kolla Bhanu Prakash, V. Srikanth
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Cognitive RoboticsCognitive Robotics is aimed at an interdisciplinary audience, balancing technical details and examples for the computational reader with theoretical and experimental findings for the empirical scientist.
By Angelo Cangelosi, Minoru Asada
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Cognitive Virtual Assistants Using Google Dialogflow: Develop Complex Cognitive Bots Using the Google Dialogflow PlatformFollow a step-by-step, hands-on approach to building production-ready enterprise cognitive virtual assistants using Google Dialogflow.
By Amit Agrawal, Navin Sabharwal
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Combating Security Challenges in the Age of Big Data: Powered by State-of-the-Art Artificial Intelligence TechniquesThis book addresses the key security challenges in the big data centric computing and network systems, and discusses how to tackle them using a mix of conventional and state-of-the-art techniques.
By Al-Sakib Khan Pathan, Zubair Md. Fadlullah (eds)
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Computational Analysis and Deep Learning for Medical Care: Principles, Methods, and ApplicationsThis book focuses on the sophisticated methods for improving dye extraction and dyeing properties which will minimize the use of bioresource products. This book also brings out the innovative ways of wet chemical processing to alleviate the environmental impacts arising from this sector.
By Amit Kumar Tyagi
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Computer Vision in Medical ImagingWritten to benefit patients without adding to the already high medical costs, this book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques.
By C. H. Chen (ed)
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Computer Vision in Vehicle Technology: Land, Sea, and AirFocusing on computer vision as on-board technology, this essential resource brings together fields of research where computer vision is progressively penetrating the automotive sector, unmanned aerial and underwater vehicles.
By Antonio M. López, Atsushi Imiya, Jose M. Álvarez, Tomas Pajdla
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Computer Vision Projects with PyTorch: Design and Develop Production-Grade ModelsDesign and develop end-to-end, production-grade computer vision projects for real-world industry problems. This book discusses computer vision algorithms and their applications using PyTorch.
By Adarsha Shivananda, Akshay Kulkarni, Nitin Ranjan Sharma
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Computer Vision Using Deep Learning: Neural Network Architectures with Python and KerasOrganizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems.
By Vaibhav Verdhan
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Computer Vision with Maker Tech: Detecting People With a Raspberry Pi, a Thermal Camera, and Machine LearningHarness the untapped potential of combining a decentralized Internet of Things (IoT) with the ability to make predictions on real-world fuzzy data. This book covers the theory behind machine learning models and shows you how to program and assemble a voice-controlled security.
By Fabio Manganiello
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Computer Vision: Applications of Visual AI and Image ProcessingThis book focuses on the latest developments in the fields of visual AI, image processing and computer vision.
By Pancham Shukla, Rajanikanth Aluvalu, Shilpa Gite, Uma Maheswari
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Concise Computer Vision: An Introduction into Theory and AlgorithmsWith classroom-tested programming exercises and review questions, this easy-to-read book provides an accessible general introduction to the essential topics in computer vision, highlighting the role of important algorithms and mathematical concepts.
By Reinhard Klette
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Concise Guide to Quantum Machine LearningThis book offers a brief but effective introduction to quantum machine learning (QML).
By Davide Pastorello
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Confident AI: The Essential Skills for Working With Artificial IntelligenceDiscover new skills, expand your knowledge and build your confidence through this fascinating and accessible guide to working with AI.
By Andy Pardoe
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Continuous Machine Learning with KubeflowThis book is for MLOps, DevOps, Machine Learning Engineers, and Data Scientists who want to continuously deploy machine learning pipelines and manage them at scale using Kubernetes. The readers should have a strong background in machine learning and some knowledge of Kubernetes is required.
By Aniruddha Choudhury
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Convergence of Artificial Intelligence and the Internet of ThingsThis book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by cloud-based Internet of Things (IoT) infrastructures. Major topics covered include the analysis and development of AI-powered mechanisms in future IoT applications and architectures.
By Constandinos X. Mavromoustakis, Evangelos Pallis (eds), George Mastorakis, Jordi Mongay Batalla
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Convergence of Cloud with AI for Big Data Analytics: Foundations and InnovationThis book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services.
By Danda B. Rawat, Jitendra Kumar Samriya, Lalit K. Awasthi, Mohit Kumar, Valentina Emilia Balas
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Conversational AIThis book is a guide to creating AI-driven voice and text agents for customer support and other conversational tasks. This practical and entertaining book combines design theory with techniques for building and training AI systems.
By Andrew Freed
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Conversational Artificial IntelligenceThis book reviews present state-of-the-art research related to the security of cloud computing including developments in conversational AI applications.
By Anand Rajavat, K. Sakthidasan Sankaran, Kotagiri Srividya, Mary Sowjanya Alamanda, Rajesh Kumar Chakrawarti, Romil Rawat, Sanjaya Kumar Sarangi
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Convolutional Neural Networks with Swift for Tensorflow: Image Recognition and Dataset CategorizationDive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language.
By Brett Koonce
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Creative Prototyping with Generative AI: Augmenting Creative Workflows with Generative AIReimagine different generative AI as useful creative prototyping tools that can be used to augment your own creative process and projects. Gain a deeper understanding of how generative AI can elevate your creative future.
By Patrick Parra Pennefather
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Book
Cybernetics or Control and Communication in the Animal and the MachineGiving a new generation access to a classic text, this book lays the theoretical foundations for the multidisciplinary field of cybernetics, the study of controlling the flow of information in systems with feedback loops, be they biological, mechanical, cognitive, or social.
By Doug Hill, Norbert Wiener, Sanjoy K. Mitter
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Data Fabric and Data Mesh Approaches with AI: A Guide to AI-based Data Cataloging, Governance, Integration, Orchestration, and ConsumptionThis book teaches you how to successfully deploy state-of-the-art data mesh solutions and gain a comprehensive overview on how a data fabric architecture uses artificial intelligence (AI) and machine learning (ML) for automated metadata management and self-service data discovery and consumption.
By Eberhard Hechler, Maryela Weihrauch, Yan (Catherine) Wu
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Data Mining and Machine Learning ApplicationsThe book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines, thus facilitating research development and collaboration.
By K. Ramya Laxmi, Kapil Kumar Nagwanshi, Rohit Raja, Sandeep Kumar
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Data Mining and Machine Learning in CybersecurityProviding a unified reference for specific machine learning solutions to cybersecurity problems, this book supplies a foundation in cybersecurity fundamentals and surveys contemporary challenges detailing cutting-edge machine learning and data mining techniques.
By Sumeet Dua, Xian Du
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Data Mining: Practical Machine Learning Tools and Techniques, Fourth EditionTeaching readers everything they need to know to get going, this comprehensive resource offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations.
By Christopher J. Pal, Eibe Frank, Ian H. Witten, Mark A. Hall
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Data Mining: Practical Machine Learning Tools and Techniques, Third EditionOffering a thorough grounding in machine learning concepts, this guide provides practical advice on applying machine learning tools and techniques in real-world data mining situations along with tips and techniques for performance improvement.
By Eibe Frank, Ian H. Witten, Mark A. Hall
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Data Quality: Empowering Businesses with Analytics and AIDiscover how to achieve business goals by relying on high-quality, robust data
By Prashanth Southekal
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Data Science, Analytics and Machine Learning with R, First EditionData Science, Analytics and Machine Learning with R explains the principles of data mining and machine learning techniques and accentuates the importance of applied and multivariate modeling.
By Luiz Paulo Favero, Patricia Belfiore, Rafael de Freitas Souza
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Data Storytelling with Altair and AIData Storytelling with Altair and AI teaches you how to build enhanced data visualizations using these tools. The book uses hands-on examples to build powerful narratives that can inform, inspire, and motivate. It covers the Altair data visualization library, along with AI techniques like generating text with ChatGPT, creating images with DALL-E, and Python coding with Copilot. You'll learn by practicing with each interesting data story, from tourist arrivals in Portugal to population growth in the USA to fake news, salmon aquaculture, and more.
By Angelica Lo Duca
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Deep Cognitive Networks: Enhance Deep Learning by Modeling Human Cognitive MechanismThis book first summarizes existing evidence of human cognitive mechanism modeling from cognitive psychology and proposes a general framework of deep cognitive networks that jointly considers multiple cognitive mechanisms. Then, it analyzes related works and focuses primarily but not exclusively, on the taxonomy of four key cognitive mechanisms (i.e., attention, memory, reasoning, and decision) surrounding deep cognitive networks.
By Liang Wang, Yan Huang
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Deep LearningAn accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars.
By John D. Kelleher
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Deep Learning and its Applications using PythonThis book thoroughly explains deep learning models and how to use Python programming to implement them in applications such as NLP, face detection, face recognition, face analysis, and virtual assistance (chatbot, machine translation, etc.).
By Abhishek Kumar, Arwa Mashat, Niha Kamal Basha, Surbhi Bhatia Khan
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Deep Learning and the Game of GoThis book teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI.
By Kevin Ferguson, Max Pumperla
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Book
Deep Learning for Cognitive Computing Systems: Technological Advancements and ApplicationsCognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing.
By Anto Merline Manoharan, Celestine Iwendi, M.G. Sumithra, Rajesh Kumar Dhanaraj
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Deep Learning for Computer Vision with SAS: An IntroductionIntroducing the pivotal components of deep learning, this book provides you with an in-depth understanding of how to build deep feedforward and convolutional neural networks, as well as variants of denoising autoencoders.
By Robert Blanchard
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Book
Deep Learning for Data Architects: Unleash The Power of Python's Deep Learning Algorithms"Deep Learning for Data Architects" is a comprehensive guide that bridges the gap between data architecture and deep learning. It provides a solid foundation in Python for data science and serves as a launchpad into the world of AI and deep learning.
By Shekhar Khandelwal
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Deep Learning for DummiesProviding real-world examples and hands-on activities to make learning easier, this approachable text gives you the information you need to take the mystery out of the topic-as well as all of the underlying technologies associated with it.
By John Paul Mueller, Luca Massaron
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Book
Deep Learning for Natural Language ProcessingDeep Learning for Natural Language Processing teaches you how to create advanced NLP applications using Python and the Keras deep learning library.
By Stephan Raaijmakers
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Book
Deep Learning for Natural Language Processing: Creating Neural Networks with PythonHelping you discover the concepts of deep learning used for natural language processing (NLP), this book provides full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.
By Palash Goyal, Sumit Pandey
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Book
Deep Learning for Robot Perception and Cognition, First EditionDeep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies.
By Alexandros Iosifidis, Anastasios Tefas
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Book
Deep Learning for SearchTeaching you how to improve the effectiveness of your search by implementing neural network-based techniques, this book will enable you to build amazing search engines that deliver the results your users need and that get better as time goes on.
By Tommaso Teofili
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Book
Deep Learning for Vision SystemsUsing only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition.
By Mohamed Elgendy
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Book
Deep Learning in Mining of Visual ContentThis book provides the reader with the fundamental knowledge in the area of deep learning with application to visual content mining. The authors give a fresh view on Deep learning approaches both from the point of view of image understanding and supervised machine learning.
By Akka Zemmar, Jenny Benois-Pineau
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Deep Learning in Personalized Healthcare and Decision SupportDeep Learning in Personalized Healthcare and Decision Support discusses the potential of deep learning technologies in the healthcare sector. The book covers the application of deep learning tools and techniques in diverse areas of healthcare, such as medical image classification, telemedicine, clinical decision support system, clinical trials, electronic health records, precision medication, Parkinson disease detection, genomics, and drug discovery.
By Harish Garg, Jyotir Moy Chatterjee
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Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture, First editionDeep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture focuses on hardware architecture and embedded deep learning, including neural networks.
By Cong Shi, Haijun Liu, Ji Liu, Xichuan Zhou
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Deep Learning on Microcontrollers: Learn How to Develop Embedded AI Applications Using TinyMLTinyML, or Tiny Machine Learning, is used to enable machine learning on resource-constrained devices, such as microcontrollers and embedded systems. If you want to leverage these low-cost, low-power but strangely powerful devices, then this book is for you.
By Atul Krishna Gupta, Dr. Siva Prasad Nandyala
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Deep Learning on Windows: Building Deep Learning Computer Vision Systems on Microsoft WindowsContaining real-time deep learning object identification, this book will enable you to design deep learning models and web applications on the Windows operating system.
By Thimira Amaratunga
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Deep Learning Patterns and PracticesThis book is a deep dive into building successful deep learning applications. You'll save hours of trial-and-error by applying proven patterns and practices to your own projects.
By Andrew Ferlitsch
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Deep Learning Pipeline: Building a Deep Learning Model with TensorFlowTeaching you what a pipeline is and how it works so you can build a full application easily and rapidly, this step-by-step book will help you troubleshoot and overcome basic Tensorflow obstacles to easily create functional apps and deploy well-trained models.
By Hisham El-Amir, Mahmoud Hamdy
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Deep Learning Techniques for Automation and Industrial ApplicationsThis book provides state-of-the-art approaches to deep learning in areas of detection and prediction, as well as future framework development, building service systems and analytical aspects in which artificial neural networks, fuzzy logic, genetic algorithms, and hybrid mechanisms are used.
By Abhishek Kumar, Ajay Khunteta, Anupam Baliyan, Pramod Singh Rathore, Sachin Ahuja, Srinivasa Rao Burri
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Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition with TensorFlow and KerasExploring deep learning applications using frameworks such as TensorFlow and Keras, this book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications.
By Navin Kumar Manaswi
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Deep Learning with C#, .Net and Kelp.Net: The Ultimate Kelp.Net Deep Learning GuideThe ultimate reference for C# .Net developers who are passionate about deep learning, this book provides readers with all the skills necessary to develop powerful, scalable and flexible deep learning models from a fluid and easy to use API.
By Matt R. Cole
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Deep Learning with JavaScript: Neural Networks in TensorFlow.jsThrough diverse examples featuring text analysis, speech processing, image recognition, and self-learning game AI, this engaging and easy-to-follow book provides fascinating use cases and in-depth instruction for deep learning apps in JavaScript in your browser or on Node.
By Eric D. Nielsen, Francois Chollet, Shanqing Cai, Stanley Bileschi
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Deep Learning with PyTorchFor Python programmers with an interest in machine learning, this practical book teaches you to create deep learning and neural network systems with PyTorch and gets you to work right away building a tumor image classifier from scratch.
By Eli Stevens, Luca Antiga, Thomas Viehmann
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Book
Deep Learning with Structured DataFilled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems.
By Mark Ryan
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Book
Deep Learning with Swift for TensorFlow: Differentiable Programming with SwiftDiscover more insight about deep learning algorithms with Swift for TensorFlow. This book covers the deep learning concepts from fundamentals to advanced research.
By Rahul Bhalley
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Deep Learning: A Visual ApproachDeep Learning: A Visual Approach is for anyone who wants to understand this fascinating field in depth, but without any of the advanced math and programming usually required to grasp its internals.
By Andrew Glassner
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Deep Neural Evolution: Deep Learning with Evolutionary ComputationThis book delivers the state of the art in deep learning (DL) methods hybridized with evolutionary computation (EC).
By Hitoshi Iba, Nasimul Noman
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Deep Reinforcement Learning in ActionTeaching you the fundamental concepts and terminology of deep reinforcement learning, this example-rich tutorial will give you the practical skills and techniques you'll need to implement it into your own projects.
By Alexander Zai, Brandon Brown
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Deep Reinforcement Learning in Unity: With Unity ML ToolkitGain an in-depth overview of reinforcement learning for autonomous agents in game development with Unity.
By Abhilash Majumder
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Deep Reinforcement Learning: Frontiers of Artificial IntelligenceUsing highly intuitive and easy-to-understand examples and applications, this book introduces the cutting-edge research advances that make reinforcement learning capable of out-performing most state-of-art systems, and even humans in a number of applications.
By Mohit Sewak
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Delivering Machine Learning Projects: From Design to DeploymentGuide machine learning projects from design to production with the techniques in this one-of-a-kind project management guide. No ML skills required
By Simon Thompson
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Demystifying Artificial Intelligence: Simplified AI and Machine Learning Concepts for EveryoneIn this book, you will learn the root concepts of AI/ML and how these inanimate machines can actually become smarter than the humans at a few tasks, and how companies are using AI and how you can leverage AI to earn profits.
By Prashant Kikani
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Deploy Machine Learning Models to Production: With Flask, Streamlit, Docker, and Kubernetes on Google Cloud PlatformBuild and deploy machine learning and deep learning models in production with end-to-end examples.
By Pramod Singh
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Deploying AI in the Enterprise: IT Approaches for Design, DevOps, Governance, Change Management, Blockchain, and Quantum ComputingYour company has committed to AI. Congratulations, now what? This practical book offers a holistic plan for implementing AI from the perspective of IT and IT operations in the enterprise.
By Eberhard Hechler, Martin Oberhofer, Thomas Schaeck
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Design Patterns of Deep Learning with TensorFlow: Building A Customer Hyper-Personalisation Ecosystem Using Deep Learning Design PatternsDesign Patterns of Deep Learning with TensorFlow is your comprehensive guide to learning deep learning from a design pattern perspective.
By Thomas V Joseph
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Design Thinking in Software and AI Projects: Proving Ideas Through Rapid PrototypingWith a specific focus on software development and AI projects with examples, this book explains the fundamentals of design thinking and how to apply design thinking techniques in defining software development and AI solutions.
By Robert Stackowiak, Tracey Kelly
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Developing AI Applications: An IntroductionGet your hands dirty with simple no-code exercises and then apply that knowledge to more complex (but still beginner-friendly!) examples. With information on installing KNIME and using tools like AutoKeras, ChatGPT, and DALL-E, this guide will let you do more with AI!
By Metin Karatas
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Developing Bots with QnA Maker Service: Integration with Azure Bot Service and Microsoft Bot FrameworkContaining real-world examples throughout, this practical book will teach you how to develop bots with zero coding knowledge using the Azure Cognitive QnA Maker service, a GUI cognitive service from Microsoft.
By Kasam Shaikh
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Developing Cognitive Bots Using the IBM Watson Engine: Practical, Hands-on Guide to Developing Complex Cognitive Bots Using the IBM Watson PlatformCognitive Virtual Bots are taking the technology and user experience world by storm. This book provides clear guidance on how different cognitive platforms can be used to develop Cognitive Virtual Assistants that enable a conversation by using DialogFlow and advanced NLP.
By Navin Sabharwal, Neha Anand, Pallavi Aggarwal, Sudipta Barua
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Developing Enterprise Chatbots: Learning Linguistic StructuresLooking at the popular paradigms for chatbot construction, this book will provide a comprehensive source of algorithms and architectures for building chatbots for various domains based on the recent trends in computational linguistics and machine learning.
By Boris Galitsky
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Digital Earth: Cyber Threats, Privacy and Ethics In an Age of ParanoiaThe book offers a rational insight into technological threats that we will all encounter, and provides navigation in an increasingly technologically advanced world.
By Sarah Katz
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Digital Signal Processing with Kernel MethodsOffering example applications and detailed benchmarking experiments with real and synthetic datasets throughout, this book provides a comprehensive overview of kernel methods in signal processing, without restriction to any application field.
By Gustau Camps-Valls, Jordi Muñoz-Marí, José Luis Rojo-Álvarez, Manel Martínez-Ramón
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Dirty Data Processing for Machine LearningIn both the database and machine learning communities, data quality has become a serious issue which cannot be ignored. In this context, we refer to data with quality problems as "dirty data." Clearly, for a given data mining or machine learning task, dirty data in both training and test datasets can affect the accuracy of results.
By Hongzhi Wang, Zejiao Dong, Zhixin Qi
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Distributed Intelligence: Building an Autonomous Tech Ecosystem with AI, Blockchain, IoT and Green Energy NEW!This book explores the intersection of AI, blockchain, and robotics, covering their history, technology, and real-world applications. It explains decentralization and its technical foundations. The book also addresses ethical and practical issues, providing valuable insights for those interested in the future of technology and its impact on society. By examining AI, blockchain, and robotics both individually and in combination, it helps readers understand their potential and the broader implications for industries and communities.
By Dr. Sathvik Vishwanath
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Distributed Machine Learning PatternsDistributed Machine Learning Patterns provides dozens of techniques for designing and deploying distributed machine learning systems. In it, you'll learn patterns for distributed model training, managing unexpected failures, and dynamic model serving. You'll appreciate the practical examples that accompany each pattern along with a full-scale project that implements distributed model training and inference with autoscaling on Kubernetes.
By Yuan Tang
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Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-LearnMigrate from pandas and scikit-learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools.
By Abdelaziz Testas
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Doing Bayesian Data Analysis: A Tutorial with R and BUGSProviding complete examples with the R programming language and BUGS software, this book begins with the basics, including essential concepts of probability and random sampling, then gradually climbs all the way to advanced hierarchical modeling methods for realistic data.
By John K. Kruschke
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Edge AI: Convergence of Edge Computing and Artificial IntelligenceThis book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial.
By Dusit Niyato, Victor C. M. Leung, Xiaofei Wang, Xu Chen, Xueqiang Yan, Yiwen Han
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Enabling Healthcare 4.0 for Pandemics: A Roadmap Using AI, Machine Learning, IoT and Cognitive TechnologiesIn this timely book, the editors explore the current state of practice in Healthcare 4.0 and provide a roadmap for harnessing artificial intelligence, machine learning, and Internet of Things, as well as other modern cognitive technologies, to aid in dealing with the various aspects of an emergency pandemic outbreak.
By Abhinav Juneja, Prashant Tyagi, Sapna Juneja, Vikram Bali, Vishal Jain
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Ensemble Methods for Machine LearningEnsemble Methods for Machine Learning teaches you practical techniques for applying multiple ML approaches simultaneously. Each chapter contains a unique case study that demonstrates a fully functional ensemble method, with examples including medical diagnosis, sentiment analysis, handwriting classification, and more.
By Gautam Kunapuli
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Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT SolutionsEnterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions is an indispensable resource for professionals and companies who want to bring new AI technologies like generative AI, ChatGPT, and machine learning (ML) into their suite of cloud-based solutions. If you want to set up AI platforms in the cloud quickly and confidently and drive your business forward with the power of AI, this book is the ultimate go-to guide.
By Rabi Jay
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Enterprise Artificial Intelligence Transformation: A Playbook for the Next Generation of Business and Technology LeadersIf you're an industry, business, or technology professional that wants to attain the skills needed to grow your machine learning capabilities and effectively scale the work you're already doing, you'll find what you need in this practical book.
By Rashed Haq
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Essentials of Deep Learning and AIThis book targets Machine Learning Engineers, Data Scientists, Data Engineers, Business Intelligence Analysts, and Software Developers who wish to gain a firm grasp on the fundamentals of Deep Learning and Artificial Intelligence. Readers should have a working knowledge of computer programming concepts.
By B N Chandrashekar, Dr. Manjunath Ramachandra, Shashidhar Soppin
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Ethics of Artificial IntelligenceThis Book features seventeen original essays by prominent AI scientists and philosophers and represents the state-of-the-art thinking in this fast-growing field.
By S. Matthew Liao
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Evolutionary Deep Learning: Genetic Algorithms and Neural NetworksDiscover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning's common pitfalls and deliver adaptable model upgrades without constant manual adjustment.
By Micheal Lanham
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Evolutionary Learning: Advances in Theories and AlThis book presents a range of those efforts, divided into four parts. Part I briefly introduces readers to evolutionary learning and provides some preliminaries.
By Zhou
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Experimentation for Engineers: From A/B Testing to Bayesian OptimizationExperimentation for Engineers: From A/B testing to Bayesian optimization delivers a toolbox of processes for optimizing software systems. You'll start by learning the limits of A/B testing, and then graduate to advanced experimentation strategies that take advantage of machine learning and probabilistic methods.
By David Sweet
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Explainable Deep Learning AI: Methods and Challenges, First EditionExplainable Deep Learning AI: Methods and Challenges presents the latest works of leading researchers in the XAI area, offering an overview of the XAI area, along with several novel technical methods and applications that address explainability challenges for deep learning AI systems.
By Dragutin Petkovic, Georges Quenot, Jenny Benois-Pineau, Romain Bourqui
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Explainable Machine Learning Models and ArchitecturesThis book deals with the efficient machine and deep learning models that support high-speed processors with reconfigurable architectures like graphic processing units (GPUs) and field programmable gate arrays (FPGAs), or any hybrid system. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must-have for any library.
By Mufti Mahmud, Suman Lata Tripathi
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Exploring the Power of ChatGPT: Applications, Techniques, and ImplicationsLearn how to use the large-scale natural language processing model developed by OpenAI: ChatGPT. This book explains how ChatGPT uses machine learning to autonomously generate text based on user input and explores the significant implications for human communication and interaction.
By Eric Sarrion
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Fashion Tech Applied: Exploring Augmented Reality, Artificial Intelligence, Virtual Reality, NFTs, Body Scanning, 3D Digital Design, and MoreProvide a more tactile experience for your customers, who won't even need to physically visit stores while optimizing conventional production processes and eradicating the tenuous tasks that nobody really likes to do.
By Peter Jeun Ho Tsang, Von N. Ruzive
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Fast Forward Investing: How to Profit from Artificial Intelligence, Robotics, and Other Technologies Reshaping Our LivesProviding the knowledge and insight you need to build and maintain your portfolio accordingly, this cutting-edge book describes what to expect, when to expect it, and how to profit in impending technological and economic revolution.
By Jon D. Markman
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Feature Engineering for Machine Learning and Data AnalyticsPresenting key concepts, methods, examples, and applications, this book provides a comprehensive introduction to feature engineering, including feature generation, feature extraction, feature transformation, feature selection, and feature analysis and evaluation.
By Guozhu Dong, Huan Liu (eds)
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Feature Extraction & Image Processing for Computer Vision, Third EditionAn essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab, this book presents and explains numerous algorithms to enable complete understanding of the methods and techniques demonstrated.
By Alberto S. Aguado, Mark S. Nixon
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Financial Signal Processing and Machine LearningIncluding contributions from leading researchers and practitioners in the field, this thorough resource unifies a number of recent advances made in signal processing and machine learning for the design and management of investment portfolios and financial engineering.
By Ali N. Akansu, Dmitry Malioutov, Sanjeev R. Kulkarni
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Fog Computing, Deep Learning and Big Data Analytic-Research DirectionsProviding a comprehensive overview of fog computing technology, this book explores research issues involved in the application of traditional shallow machine learning and deep learning techniques to big data analytics.
By C. S. R. Prabhu
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Formal Analysis for Natural Language Processing: A HandbookAt a time characterized by the steady and vigorous growth of natural language processing, this handbook provides a highly accessible introduction and much-needed reference guide to both the theory and method of NLP.
By Zhiwei Feng
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Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating MediaThis open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts.
By Gerhard Paaß, Sven Giesselbach
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Foundations of Artificial Intelligence and Expert SystemsPresenting an integrated, real-life case study incorporating all of the related managerial aspects, this book covers all facets of artificial intelligence (AI) and expert systems in a lucid and coherent manner.
By K Sarukesi, P Gopalakrishnan, V S Janakiraman
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Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and ApplicationsThe book provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications.
By Pradeep Singh
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Fundamentals of Finite Element Analysis: Linear Finite Element AnalysisProviding an understanding or the salient features of linear FE analysis, this book begins with the mathematics describing an actual physical problem and continues with the introduction of the FE approximation and the calculation of pertinent arrays and vectors.
By Ioannis Koutromanos
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Fundamentals of Soft ComputingWritten in a simple language with a straightforward presentation, this book is a comprehensive work explaining difficult concepts in soft computing, offering a variety of numerical and conceptual problems along with their systematically worked out solutions.
By Kuntal Barua, Prasun Chakrabarti
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GANs in Action: Deep learning with Generative Adversarial NetworksFeaturing numerous hands-on examples throughout, this book teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning.
By Jakub Langr, Vladimir Bok
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Generating a New Reality: From Autoencoders and Adversarial Networks to DeepfakesThis book guides you through many AI techniques capable of generating new realities and AI techniques used to generate different forms of content.
By Micheal Lanham
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Generative AI for Enterprises: Essential Insights for Decision MakersGenerative AI can streamline technical and business processes, increase efficiency, and free up your resources' time to focus on more strategic initiatives.
By Vishal Anand
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Generative AI for MarketingEvery few generations, a technoeconomic revolution topples the status quo of how work is done, creating an opportunity for new leaders to emerge. Generative AI for Marketing is meant to position the current and future marketers to become those leaders and lead their organizations in the AI era.
By Malay A. Upadhyay
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Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and SocietyIn Generative AI in Practice, renowned futurist Bernard Marr offers readers a deep dive into the captivating universe of GenAI. This comprehensive guide introduces you to the basics of this groundbreaking technology and outlines the profound impact that GenAI will have on business and society. Professionals, technophiles, and anyone with an interest in the future will need to understand how GenAI is set to redefine jobs, revolutionize business, and question the foundations everything we do.
By Bernard Marr
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Generative AI Security: Theories and PracticesThis book explores the revolutionary intersection of Generative AI (GenAI) and cybersecurity.
By Ben Goertzel, Jyoti Ponnapalli, Ken Huang, Sean Wright, Yale Li, Yang Wang
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Generative AI: How ChatGPT and Other AI Tools Will Revolutionize BusinessThis book will show how generative technology works and the drivers. It will also look at the applications - showing what various startups and large companies are doing in the space. There will also be a look at the challenges and risk factors.
By Tom Taulli
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Generative AI: Navigating the Course to the Artificial General Intelligence FutureIn Generative AI: Navigating the Course to the Artificial General Intelligence Future, celebrated author Martin Musiol-founder and CEO of generativeAI.net and GenAI Lead for Europe at Infosys-delivers an incisive and one-of-a-kind discussion of the current capabilities, future potential, and inner workings of generative artificial intelligence.
By Martin Musiol
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Generic Pipelines Using Docker: The DevOps Guide to Building Reusable, Platform Agnostic CI/CD FrameworksUsing real-world examples and reusable code, this book helps you get up to speed on the pros and cons of generic pipeline methodology, and learn to combine shell scripts and Docker to build generic pipelines.
By Brandon Atkinson, Dallas Edwards
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Getting Started with ChatGPT and AI Chatbots: An Introduction to AI Generative ToolsGetting Started with ChatGPT and AI Chatbots explores the ‘big three' AI chatbots - OpenAI ChatGPT, Microsoft / Windows Copilot and Google Bard - demystifying their operation, and providing a wealth of tools for thinking about how to talk to these smart tools.
By Mark Pesce
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Getting started with Deep Learning for Natural Language Processing: Learn how to build NLP applications with Deep LearningThis book covers wide areas, including the fundamentals of Machine Learning, Understanding and optimizing Hyperparameters, Convolution Neural Networks (CNN), and Recurrent Neural Networks (RNN).
By Sunil Patel
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Getting Started with Natural Language ProcessingGetting Started with Natural Language Processing teaches you how to upgrade user-facing applications with text and speech-based features. From the accessible explanations and hands-on examples in this book you'll learn how to apply NLP to sentiment analysis, user profiling, and much more.
By Ekaterina Kochmar
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GPT-4 for DevelopersThis resource is designed to bridge the gap between theoretical understanding and practical application, making it a useful tool for software developers, data scientists, AI researchers, and tech enthusiasts interested in harnessing the power of GPT-4 in Python environments.
By Oswald Campesato
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Graph-Powered Machine LearningThis book teaches you how to exploit the natural relationships in structured and unstructured datasets using graph-oriented machine learning algorithms and tools. In this authoritative book, you'll master the architectures and design practices of graphs, and avoid common pitfalls. Author Alessandro Negro explores examples from real-world applications that connect GraphML concepts to real world tasks.
By Alessandro Nego
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Grokking Artificial Intelligence AlgorithmsUsing illustrations, exercises, and jargon-free explanations to teach fundamental AI concepts, this book explores coding challenges like detecting bank fraud, creating artistic masterpieces, and setting a self-driving car in motion.
By Rishal Hurbans
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Grokking Continuous DeliveryGrokking Continuous Delivery is a friendly guide to setting up and working with a continuous delivery pipeline. Each chapter takes on a different scenario you'll face when setting up a CD system, with real-world examples like automated scaling and testing legacy applications.
By Christie Wilson
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Grokking Deep LearningTeaching you to build deep learning neural networks from scratch, this book, written in an engaging style, shows you the science under the hood, so you grok for yourself every detail of training neural networks.
By Andrew W. Trask
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Grokking Deep Reinforcement LearningUsing engaging exercises to teach you how to build deep learning systems, this book combines annotated Python code with intuitive explanations to explore DRL techniques.
By Miguel Morales
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Grokking Machine LearningThis book presents machine learning algorithms and techniques in a way that anyone can understand.
By Luis Serrano
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Grow Your Business with AI: A First Principles Approach for Scaling Artificial Intelligence in the EnterpriseLeverage the power of Artificial Intelligence (AI) to drive the growth and success of your organization. This book thoroughly explores the reasons why it is so hard to implement AI, and highlights the need to reconcile the motivations and goals of two very different groups of people, business-minded and technical-minded.
By Francisco Javier Campos Zabala
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Guide to Convolutional Neural Networks: A Practical Application to Traffic-Sign Detection and ClassificationIntroducing the fundamental concepts of convolutional neural networks (ConvNets), this self-contained guide offers practical guidance on using libraries to implement ConvNets in applications of traffic sign detection and classification.
By Elnaz Jahani Heravi, Hamed Habibi Aghdam
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Guide to Deep Learning Basics: Logical, Historical and Philosophical PerspectivesThis book will rekindle a passion for deep learning in those already experienced in coding and studying this discipline, and provide a philosophical big-picture perspective for those new to the field.
By Skansi
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Hamiltonian Monte Carlo Methods in Machine Learning, First EditionHamiltonian Monte Carlo Methods in Machine Learning introduces methods for optimal tuning of HMC parameters, along with an introduction of Shadow and Non-canonical HMC methods with improvements and speedup.
By Rendani Mbuvha, Tshilidzi Marwala, Wilson Tsakane Mongwe
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Handbook of Image Processing and Computer Vision: Volume 1: From Energy to ImageThe Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding.
By Arcangelo Distante, Cosimo Distante
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Handbook of Image Processing and Computer Vision: Volume 2: From Image to PatternThe Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding.
By Arcangelo Distante, Cosimo Distante
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Handbook of Image Processing and Computer Vision: Volume 3: From Pattern to ObjectThis book presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding.
By Arcangelo Distante, Cosimo Distante
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Handbook of Machine and Computer Vision: The Guide for Developers and Users, Second, Revised and Updated EditionWritten by expert practitioners from leading companies operating in machine vision, this one-stop handbook guides readers through all aspects of image acquisition and image processing, including optics, electronics and software.
By Alexander Hornberg
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Hands-on AIOps: Best Practices Guide to Implementing AIOpsThe book provides ready-to-use best practices for implementing AIOps in an enterprise. Each component of AIOps and ML using Python code and templates is explained and shows how ML can be used to deliver AIOps use cases for IT operations.
By Gaurav Bhardwaj, Navin Sabharwal
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Hands-On Artificial Intelligence for Android: Understand Machine Learning and Unleash the Power of TensorFlow in Android Applications with Google ML KitThe book covers real projects on TensorFlow, demonstrates how to collect photos with Camera X, and preprocess them with the Google ML Kit. It explains how to onboard the power of machine learning in Android applications that detect images, identify faces, and apply effects to photographs, among other things.
By Vasco Correia Veloso
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Hands-on Machine Learning with Python : Implement Neural Network Solutions with Scikit-learn and PyTorchThis book explains about Machine Learning with Python.
By Aditya Joshi, Ashwin Pajankar
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Hands-on Question Answering Systems with BERT: Applications in Neural Networks and Natural Language ProcessingProviding step-by-step guidance and in-depth explanations, this book is a good starting point for developers and data scientists who want to create and design NLP systems using BERT.
By Amit Agrawal, Navin Sabharwal
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Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with PythonProviding examples in Python that are made specifically for data science, this book combines the Anaconda Python distribution with the popular Scikit-Learn library to demonstrate a wide range of supervised and unsupervised machine learning algorithms.
By David Paper
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Hands-on TinyML: Harness The Power of Machine Learning on The Edge DevicesTinyML is an innovative technology that empowers small and resource-constrained edge devices with the capabilities of machine learning. If you're interested in deploying machine learning models directly on microcontrollers, single board computers, or mobile phones without relying on continuous cloud connectivity, this book is an ideal resource for you.
By Rohan Banerjee
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Heterogeneous Facial Analysis and SynthesisThis book represents a valuable resource for students, researchers and practitioners who need to construct face analysis systems with deep generative networks.
By Huaibo Huang, Ran He, Tieniu Tan, Yi Liu
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Book
How AI Works: From Sorcery to ScienceArtificial intelligence is everywhere-from self-driving cars, to image generation from text, to the unexpected power of language systems like ChatGPT-yet few people seem to know how it all really works. How AI Works unravels the mysteries of artificial intelligence, without the complex math and unnecessary jargon.
By Ronald T. Kneusel
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How Machine Learning is Innovating Today's World: A Concise Technical GuideProvides a comprehensive understanding of the latest advancements and practical applications of machine learning techniques.
By Arindam Dey, Ranjan Kumar, Sachi Nandan Mohanty, Sukanta Nayak
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How Smart Machines ThinkEverything you've always wanted to know about self-driving cars, Netflix recommendations, IBM's Watson, and video game-playing computer programs.
By Sean Gerrish
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How to Speak Tech: The Non-Techie's Guide to Key Technology Concepts, Second EditionBy breaking down major tech concepts involved with a modern startup into bite-sized chapters, this book peels back the mystery of the Internet, explains it all in the simplest terms, and gives you the knowledge you need to speak confidently when the subject turns to technology.
By Vinay Trivedi
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Human Centric Visual Analysis with Deep LearningThis book introduces the applications of deep learning in various human centric visual analysis tasks, including classical ones like face detection and alignment and some newly rising tasks like fashion clothing parsing.
By Dongyu Zhang, Liang Lin, Ping Luo, Wangmeng Zuo
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Human Emotion Recognition from Face ImagesThe book explains how six basic human emotions can be recognized in various face images of the same person, as well as those available from benchmark face image databases like CK+, JAFFE, MMI, and MUG.
By Asit Barman, Paramartha Dutta (eds)
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Human Recognition in Unconstrained Environments: Using Computer Vision, Pattern Recognition and Machine Learning Methods for BiometricsProviding a unique picture of the complete ‘in-the-wild' biometric recognition processing chain, this book covers everything from data acquisition through to detection, segmentation, encoding, and matching reactions against security incidents.
By Hugo Proença, Maria De Marsico, Michele Nappi
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Human-Centered Artificial Intelligence: Research and ApplicationsHuman-Centered Artificial Intelligence: Research and Applications presents current theories, fundamentals, techniques and diverse applications of human-centered AI.
By Chang S. Nam, Jae-Yoon Jung, Sangwon Lee
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Human-in-the-Loop Machine LearningThis book lays out methods for humans and machines to work together effectively. You'll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You'll learn to create training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.
By Robert (Munro) Monarch
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Human-Machine Interface: Making Healthcare DigitalThe book contains the latest advances in healthcare and presents them in the frame of the Human-Machine Interface (HMI).
By Bhupendra Prajapati, Rishabha Malviya, Sonali Sundram, Sudarshan Kumar Singh
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Human/Machine: The Future of our Partnership with MachinesWill the workplace of the future be overrun by machines and robots? Are the new frontiers of artificial intelligence (AI) on the cusp of dethroning us in efficiency, intelligence and innovative potential? Human/Machine is the only guide you need to understand the fourth industrial revolution.
By Daniel Newman, Olivier Blanchard
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Hyperautomation with Generative AI: Learn How Hyperautomation and Generative AI Can Help You Transform Your Business and Create New ValueThis book provides an introduction to hyperautomation, highlighting its key components and providing guidance on how organizations can implement it to streamline everyday business operations.
By Dr. Jagreet Kaur, Navdeep Singh Gill, Suryakant
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Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More EfficientDive into hyperparameter tuning of machine learning models and focus on what hyperparameters are and how they work. This book discusses different techniques of hyperparameters tuning, from the basics to advanced methods.
By Tanay Agrawal
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Hyperspectral Image Analysis: Advances in Machine Learning and Signal ProcessingThis book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding.
By Jocelyn Chanussot, Saurabh Prasad
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Image FusionThis book systematically discusses the basic concepts, theories, research and latest trends in image fusion. It focuses on three image fusion categories - pixel, feature and decision - presenting various applications, such as medical imaging, remote sensing, night vision, robotics and autonomous vehicles.
By Durga Prasad Bavirisetti, Gang Liu, Gang Xiao, Xingchen Zhang
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Imagination + TechnologyIn this book, you'll learn to address this gap in our accounts of how we imagine, conceptualize, design, and use digital technologies.
By Phil Turner
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Implement NLP Use-Cases Using BERT: Explore the Implementation of NLP Tasks Using the Deep Learning Framework and PythonProviding a detailed explanation of the real world and industry wide natural language processing use-cases, this book is for anyone looking to develop the fundamental concepts in NLP and explore more advanced problems.
By Amandeep
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Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow ParadigmsImplementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more.
By Aleksandar Kartelj, Miloš Kotlar, Nenad Mitić, Veljko Milutinović
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Implementing AI Systems: Transform Your Business in 6 StepsPutting everything you need to know into one place, this book will show you the step-by-step process for successful implementations of AI, backed up with numerous case studies from top companies.
By Tom Taulli
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Industrial Applications of Machine LearningShowing how machine learning can be applied to address real-world problems in the fourth industrial revolution, this thorough resource provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice.
By Pedro Larrañaga, et al.
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Industrial Machine Learning: Using Artificial Intelligence as a Transformational DisruptorIncluding many advanced, yet practical examples in different industries, this book will help you understand the industrialization of machine learning (ML) and take the first steps toward identifying and generating the transformational disruptors of artificial intelligence (AI).
By Andreas François Vermeulen
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Infrastructure as Code, Patterns and Practices: With examples in Python and TerraformInfrastructure as Code, Patterns and Practices teaches flexible techniques for building resilient, scalable infrastructure, including structuring and sharing modules, migrating legacy systems, and more.
By Rosemary Wang
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Innovations in Artificial Intelligence and Human-Computer Interaction in the Digital EraInnovations in Artificial Intelligence and Human Computer Interaction in the Digital Era investigates the interaction and growing interdependency of the HCI and AI fields, which are not usually addressed in traditional approaches.
By Arwa Mashat, Surbhi Bhatia Khan, Suyel Namasudra, Swati Chandna
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Innovative Engineering with AI ApplicationsInnovative Engineering with AI Applications demonstrates how we can innovate in different engineering domains as well as how to make most business problems simpler by applying AI to them.
By Anamika Ahirwar, Bhupesh Gour, Manish Shrivastava, Piyush Kumar Shukla, Priti Maheshwary
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Inside Deep Learning: Math, Algorithms, ModelsInside Deep Learning illuminates the inner workings of deep learning algorithms in a way that even machine learning novices can understand.
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Installation and Configuration of IBM Watson Analytics and StoredIQ: Complete Administration Guide of IBM Watson, IBM Cloud, Red Hat OpenShift, Docker, and IBM StoredIQThis book provides instructions for installation, configuration and troubleshooting sections to improve the IT support productivity and fast resolution of issues that arise.
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Integrated Devices for Artificial Intelligence and VLSI: VLSI Design, Simulation and ApplicationsWith its in-depth exploration of the close connection between microelectronics, AI, and VLSI technology, this book offers valuable insights into the cutting-edge techniques and tools used in VLSI design automation, making it an essential resource for anyone seeking to stay ahead in the rapidly evolving field of VLSI design.
By Balwinder Raj, K. Srinivasa Rao, Mandeep Singh, Suman Lata Tripathi, Tarun Chaudhary
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Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine LearningBased on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning.
By Fei Hu, Qi Hao (eds)
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Intelligent Wavelet Based Techniques for AdvancedThis book contains high-quality research articles and reviews that promote research and reflect the most recent advances in intelligent wavelet based techniques for advanced multimedia applications as well as other emerging areas.
By Amit Kumar Singh, Mohamed Elhoseny (eds), Rajiv Singh, Swati Nigam
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Interfaceless: Conscious Design for Spatial Computing with Generative AIThis book offers an insightful journey into harmonizing user-centered design with the vast potential of AI in spatial computing.
By Diana Olynick
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Interpretable AI: Building Explainable Machine Learning SystemsInterpretable AI teaches you to identify the patterns your model has learned and why it produces its results. As you read, you'll pick up algorithm-specific approaches, like interpreting regression and generalized additive models, along with tips to improve performance during training.
By Ajay Thampi
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Introduction to Evolutionary Computing, Second EditionRevised to offer an integrated view on evolution-based problem-solving algorithms, this book is suitable for courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.
By A.E. Eiben, J.E. Smith
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Introduction to Generative AIIntroduction to Generative AI guides you through benefits, risks, and limitations of Generative AI technology. You'll discover how AI models learn and think, explore best practices for creating text and graphics, and consider the impact of AI on society, the economy, and the law.
By Maggie Engler, Numa Dhamani
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Introduction to Machine Learning, Third EditionA comprehensive textbook on the subject, this book covers a broad array of topics including supervised learning; Bayesian decision theory; parametric, semi-parametric, and nonparametric methods; multivariate analysis; hidden Markov models; reinforcement learning; kernel machines; graphical models; Bayesian estimation; and statistical testing.
By Ethem Alpaydin
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Introduction to Prescriptive AI: A Primer for Decision Intelligence Solutioning with PythonThis book will help you evaluate different AI-driven predictive analytics techniques and help you incorporate decision intelligence into your business workflow through real-world examples.
By Adarsha Shivananda, Akshay Kulkarni, Avinash Manure
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Introduction to Responsible AI: Implement Ethical AI Using PythonLearn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in artificial intelligence.
By Avinash Manure, Saravanan S, Shaleen Bengani
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Introduction to Unity ML-Agents: Understand the Interplay of Neural Networks and Simulation Space Using the Unity ML-Agents PackageThis book will thoroughly introduce you to ML-Agents in Unity and how to use them in your next project.
By Dylan Engelbrecht
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IoT, AI, and Blockchain for .NET: Building a Next-Generation Application from the Ground UpBringing together cutting-edge technologies that developers need to master in order to compete in today's marketplace, this book demonstrates how complex capabilities can be provided and consumed as a service in the form of easy-to-use APIs, making them more accessible than ever before.
By Anurag Bhandari, Nishith Pathak
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IRREPLACEABLE: The Art of Standing Out in the Age of Artificial IntelligenceWith over 20 years of pioneering research at the human-AI intersection, Bornet reveals the secrets to living in harmony with AI while cultivating uniquely human qualities. He introduces the Three Competencies of the Future that we need to develop urgently to thrive in our new world.
By Pascal Bornet
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JAVA Basics Using ChatGPT/GPT-4This book is designed for those new to Java and interested in understanding how ChatGPT/GPT-4 can enhance programming.
By Oswald Campesato
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Keeping Your AI Under Control: A Pragmatic Guide to Identifying, Evaluating, and Quantifying RisksDelving into several real-life case studies of AI gone wrong, this book explores the inherent risk factors of the widespread implementation of artificial intelligence and addresses the need to challenge our current assumptions about the infallibility of technology.
By Anand Tamboli
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Killer ChatGPT Prompts: Harness the Power of AI for Success and ProfitUnlock the full capabilities of ChatGPT at work, at home, and in your day-to-day
By Guy Hart-Davis
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Knowledge-augmented Methods for Natural Language ProcessingOver the last few years, natural language processing has seen remarkable progress due to the emergence of larger-scale models, better training techniques, and greater availability of data.
By Bill Yuchen Lin, Chenguang Zhu, Meng Jiang, Shuohang Wang, Wenhao Yu, Yichong Xu
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Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI ApplicationsLearn to build cost-effective apps using Large Language Models
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Large Language Models for Developers: A Prompt-based Exploration NEW!This book offers a thorough exploration of Large Language Models (LLMs), guiding developers through the evolving landscape of generative AI and equipping them with the skills to utilize LLMs in practical applications.
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Large Language Models: An Introduction NEW!This book begins with an overview of the Generative AI landscape, distinguishing it from conversational AI and shedding light on the roles of key players like DeepMind and OpenAI. It then reviews the intricacies of ChatGPT, GPT-4, Meta AI, Claude 3, and Gemini, examining their capabilities, strengths, and competitors.
By Oswald Campesato
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Lead With AI: Igniting Company Growth with Artificial IntelligenceThis book transforms AI from a buzzword into a practical tool for industry leaders.
By Amir Elkabir
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Leading with AI and Analytics: Build Your Data Science IQ to Drive Business ValueWritten for anyone in a leadership or management role-from C-level/unit team managers to rising talent-this powerful, hands-on guide meets today's growing need for real-world tools to lead and succeed with data.
By Eric Anderson, Florian Zettelmeyer
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Lean Six Sigma in the Age of Artificial Intelligence: Harnessing the Power of the Fourth Industrial RevolutionShowing you how to combine the power of AI and LSS to seize competitive advantage, this game-changing guide takes you through the process of using AI to dramatically enhance any LSS management program.
By Daniel K. Blackwell, Dinesh Rajan, Michael George, Michael George Jr.
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Learn AI with PythonThis book is for anyone interested in learning about artificial intelligence and putting it into practice with Python. This book is also valuable for intermediate Machine Learning practitioners as a reference guide. Readers should be familiar with the fundamental understanding of Python programming and machine learning techniques.
By Gaurav Leekha
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Learn AI-assisted Python Programming: With GitHub Copilot and ChatGPTWriting computer programs in Python just got a lot easier! Use AI-assisted coding tools like GitHub Copilot and ChatGPT to turn your ideas into applications faster than ever.
By Daniel Zingaro, Leo Porter
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Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNsTeaching you how to build practical applications of computer vision using the OpenCV library with Python, this book discusses different facets of computer vision such as image and object detection, tracking and motion analysis and their applications with examples.
By Sunila Gollapudi
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Learn Generative AI with PyTorch NEW!Learn how generative AI works by building your very own models that can write coherent text, create realistic images, and even make lifelike music.
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Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with PythonWith practical business-centric use-cases implemented in Keras, this concise resource provides you with a thorough understanding of deep learning principles and practical hands-on experience in developing enterprise-grade deep learning solutions in Keras.
By Jojo Moolayil
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Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with PythonIntroducing readers to the latest version of the TensorFlow library, this book will teach you how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples.
By Avinash Manure, Pramod Singh
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Life 3.0: Being Human in the Age of Artificial IntelligenceIn Life 3.0, author Max Tegmark successfully demystifies the complexities of artificial intelligence, using a simple analogy to depict life on earth along an evolutionary continuum. In this Review, we discuss the salient points of the book based on our interpretation of its contents.
By Max Tegmark
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Limits of AI - Theoretical, Practical, EthicalArtificial intelligence is a key technology with great expectations in science, industry, and everyday life. This book discusses both the perspectives and the limitations of this technology.
By Klaus Mainzer, Reinhard Kahle
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Living with Robots: What Every Anxious Human Needs to KnowThe truth about robots: two experts look beyond the hype, offering a lively and accessible guide to what robots can (and can't) do.
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Machine and Deep Learning Using MATLAB: Algorithms and Tools for Scientists and EngineersMachine and Deep Learning Using MATLAB is a useful and highly comprehensive resource on the subject for professionals, advanced students, and researchers who have some familiarity with MATLAB and are situated in engineering and scientific fields, who wish to gain mastery over the software and its numerous applications.
By Kamal I. M. Al-Malah
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Machine Ethics: From Machine Morals to the Machinery of MoralityThis book offers the first systematic guide to machine ethics, bridging between computer science, social sciences and philosophy.
By Luís Moniz Pereira
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Machine Intelligence, Big Data Analytics, and IoT in Image Processing: Practical ApplicationsMachine Intelligence, Big Data Analytics, and IoT in Image Processing is a significant addition to the body of knowledge on practical applications emerging from machine intelligence, big data analytics, and IoT. The chapters deal with specific areas of applications of these technologies.
By Ashok Kumar, Jose A. Galindo, Lalit Garg, Megha Bhushan, Yu-Chen Hu
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Machine Learning and AI for Healthcare: Big Data for Improved Health OutcomesExploring the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare, this book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges.
By Arjun Panesar
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Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes, Second EditionOffering a guided tour of machine learning algorithms and architecture design, this book provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data.
By Arjun Panesar
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Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and ChallengesThis book is intended to present the state of the art in research on machine learning and big data analytics.
By Aboul Ella Hassanien, Ashraf Darwish
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Machine Learning and Big Data: Concepts, Algorithms, Tools and ApplicationsIncluding hands-on tools and numerous case studies, this book aims to provide awareness of algorithms used for machine learning and big data in the academic and professional community.
By Khairol Amali Bin Ahmad, Khaleel Ahmad, Uma N. Dulhare
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Machine Learning and Cognition in Enterprises: Business Intelligence TransformedIncluding case studies on business and AI, this book discusses the emergence and evolution of IT in the enterprise, how machine learning is transforming business intelligence, and the various cognitive artificial intelligence solutions that complement and extend machine learning.
By Rohit Kumar
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Machine Learning and Medical ImagingFeaturing self-contained chapters with a thorough literature review, this thorough reference demonstrates the application of cutting-edge machine learning techniques to medical imaging problems.
By Dinggang Shen, Guorong Wu, Mert R. Sabuncu (eds)
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Machine Learning Applications In Software EngineeringProviding an overview of machine learning, this text summarizes the state-of-the-practice in this niche area, gives a classification of the existing work, and offers application guidelines.
By Du Zhang, Jeffrey J.P. Tsai (eds)
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Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and FinanceGain practical skills in machine learning for finance, healthcare, and retail.
By Puneet Mathur
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Machine Learning Approach for Cloud Data Analytics in IoTThis book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications.
By Jyotir Moy Chatterjee, Monika Mangla, Sachi Nandan Mohanty, Sirisha Potluri, Suneeta Satpathy
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Machine Learning Approaches for Convergence of IoT and BlockchainThis book deeply discusses two of the most critical emerging fields of machine learning: blockchain technology and the Internet of Things
By Akansha Singh, Krishna Kant Singh, Sanjay K. Sharma
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Machine Learning Approaches in Cyber Security AnalyticsThis book introduces various machine learning methods for cyber security analytics. With an overwhelming amount of data being generated and transferred over various networks, monitoring everything that is exchanged and identifying potential cyber threats and attacks poses a serious challenge for cyber experts.
By Athira P. Vijayaraghavan, Sabu Emmanuel, Tony Thomas
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Machine Learning BookcampThis book presents realistic, practical machine learning scenarios, along with crystal-clear coverage of key concepts. In it, you'll complete engaging projects, such as creating a car price predictor using linear regression and deploying a churn prediction service.
By Alexey Grigorev
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Machine Learning Concepts with Python and the Jupyter Notebook Environment: Using Tensorflow 2.0Providing common machine learning and Python keywords and definitions to make learning even easier, this book show you how to create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment.
By Nikita Silaparasetty
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Machine Learning Contests: A GuidebookThis book systematically introduces the competitions in the field of algorithm and machine learning. The first author of the book has won 5 championships and 5 runner-ups in domestic and international algorithm competitions.
By Peng Liu, Qian Qian, Wang He
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Machine Learning Cookbook with Python: Create ML and Data Analytics Projects Using Some Amazing bpbOpen DatasetsThis cookbook is meant for anybody who is passionate enough to get into the World of Machine Learning and has a preliminary understanding of the Basics of Linear Algebra, Calculus, Probability, and Statistics. This book also serves as a reference guidebook for intermediate Machine Learning practitioners.
By Rehan Guha
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Machine Learning Empowered Intelligent Data Center Networking: Evolution, Challenges and OpportunitiesAn Introduction to the Machine Learning Empowered Intelligent Data Center Networking
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Machine Learning Engineering in ActionMachine Learning Engineering in Action teaches you core principles and practices for designing, building, and delivering successful machine learning projects.
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Machine Learning for Auditors: Automating Fraud Investigations Through Artificial IntelligenceThe book helps you achieve the objectives of safeguarding the confidentiality, integrity, and availability of your organizational assets.
By Maris Sekar
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Machine Learning for Beginners: Build and Deploy Machine Learning Systems Using Python, 2nd EditionThe second edition of "Machine Learning for Beginners" addresses key concepts and subjects in machine learning.
By Dr. Harsh Bhasin
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Machine Learning for Beginners: Learn to Build Machine Learning Systems Using PythonThis book covers important concepts and topics in Machine Learning. It begins with Data Cleansing and presents an overview of Feature Selection. It then talks about training and testing, cross-validation, and Feature Selection.
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Machine Learning for Biometrics: Concepts, Algorithms and Applications, First EditionMachine Learning for Biometrics: Concepts, Algorithms and Applications highlights the fundamental concepts of machine learning, processing and analyzing data from biometrics and provides a review of intelligent and cognitive learning tools which can be adopted in this direction.
By Banshidhar Majhi, Bhabani Shankar Prasad Mishra, Madhumita Panda, Partha Pratim Sarangi, Subhashree Mishra
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Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro, Second EditionMachine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro(r), 2nd ed. offers an accessible and engaging introduction to machine learning. It provides concrete examples and case studies to educate new users and deepen existing users' understanding of their data and their business.
By Galit Shmueli, Mia L. Stephens, Muralidhara Anandamurthy, Nitin R. Patel, Peter C. Bruce
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Machine Learning for Business: Using Amazon SageMaker and JupyterConcentrating on practical topics like customer retention, forecasting, and back office processes, this practical book teaches business-oriented machine learning techniques you can do yourself.
By Doug Hudgeon, Richard Nichol
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Machine Learning for Civil and Environmental Engineers: A Practical Approach to Data-Driven Analysis, Explainability, and CausalityThis textbook introduces engineers and engineering students to the applications of artificial intelligence (AI), machine learning (ML), and machine intelligence (MI) in relation to civil and environmental engineering projects and problems, presenting state-of-the-art methodologies and techniques to develop and implement algorithms in the engineering domain.
By M. Z. Naser
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Machine Learning for Cyber SecurityThis book shows how machine learning (ML) methods can be used to enhance cyber security operations, including detection, modeling, monitoring as well as defense against threats to sensitive data and security systems.
By Lata Nautiyal, Mangey Ram, Preeti Malik
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Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook, 3rd Edition 2023This book is a major update to the very successful first and second editions (2005 and 2010) of Data Mining and Knowledge Discovery Handbook.
By Erez Shmueli, Lior Rokach, Oded Maimon
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Machine Learning for Decision Makers: Cognitive Computing Fundamentals for Better Decision MakingWith useful case studies and real-life scenarios, this insightful book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about.
By Patanjali Kashyap
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Machine Learning for Decision Makers: Cognitive Computing Fundamentals for Better Decision Making, Second EditionThis new and updated edition takes you through the details of machine learning to give you an understanding of cognitive computing, IoT, big data, AI, quantum computing, and more. The book explains how machine learning techniques are used to solve fundamental and complex societal and industry problems.
By Patanjali Kashyap
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Machine Learning For Dummies, 2nd EditionThis book takes a look at the underlying-and fascinating-math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study.
By John Paul Mueller, Luca Massaron
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Machine Learning for Economics and Finance in TensorFlow 2: Deep Learning Models for Research and IndustryFocusing on economic and financial problems with an empirical dimension, where machine learning methods may offer something of value, this book is structured to teach through a sequence of complete examples, each framed in terms of a specific economic problem of interest or topic.
By Isaiah Hull
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Machine Learning for Finance: Beginner's guide to explore machine learning in banking and financeThe book demonstrates how to solve some of the most common issues in the financial industry. The book addresses real-life problems faced by practitioners on a daily basis. The book explains how machine learning works on structured data, text, and images.
By Saurav Singla
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Machine Learning for Industrial ApplicationsThe main goal of the book is to provide a comprehensive and accessible guide that empowers readers to understand, apply, and leverage machine learning algorithms and techniques effectively in real-world scenarios.
By Kolla Bhanu Prakash
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Machine Learning for iOS DevelopersAssuming no prior experience with machine learning, this reader-friendly guide offers expert instruction and practical examples of machine learning integration in iOS.
By Abhishek Mishra
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Machine Learning for Subsurface CharacterizationIncluding practical case studies using field, laboratory, and simulation data, this book will help you become knowledgeable with data science and analytics terminology relevant to subsurface characterization.
By Hao Li, Jiabo He, Siddharth Misra
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Machine Learning for Time Series Forecasting with PythonThis book is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling.
By Francesca Lazzeri
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Machine Learning Governance for ManagersMachine Learning Governance for Managers provides readers with the knowledge to unlock insights from data and leverage AI solutions.
By Alexei Robsky, Francesca Lazzeri
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Machine Learning in ActionMachine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification.
By Peter Harrington
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Machine Learning in Bio-Signal Analysis and Diagnostic ImagingExamining a variety of machine learning techniques applied to bio-signal analysis and diagnostic imaging, this book discusses various methods of using intelligent systems based on machine learning, soft computing, computer vision, artificial intelligence and data mining.
By Amira S. Ashour, Fuqian Shi, Nilanjan Dey, Surekha Borra
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Machine Learning in Image SteganalysisServing as a tutorial on the topic of steganalysis with brief introductions to much of the basic theory provided, this book presents a survey of a wide range of feature vectors proposed for steganalysis with performance tests and comparisons.
By Hans Georg Schaathun
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Machine Learning in Production: Master The Art of Delivering Robust Machine Learning Solutions with MLOps‘Machine Learning in Production' is an attempt to decipher the path to a remarkable career in the field of MLOps. It is a comprehensive guide to managing the machine learning lifecycle from development to deployment, outlining ways in which you can deploy ML models in production.
By Suhas Pote
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Machine Learning in the Oil and Gas Industry: Including Geosciences, Reservoir Engineering, and Production Engineering with PythonContaining real-life oil and gas company examples, based on data sets from those industries, this book covers diverse industry topics, including geophysics, geological modeling, reservoir engineering, and production engineering.
By Ayush Rastogi, Luigi Saputelli, Sribharath Kainkaryam, Srimoyee Bhattacharya, Yogendra Narayan Pandey
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Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use CasesThis book is your go-to resource for machine learning on geodata. It presents the basics of working with spatial data and advanced applications. Examples are presented using code and facilitate learning by application.
By Joos Korstanje
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Machine Learning Paradigms: Advances in Deep Learning-based Technological ApplicationsThis book is directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent deep learning-based technological applications.
By George A. Tsihrintzis, Lakhmi C. Jain
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Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AIIf you've been on the hunt for the perfect resource to elevate your understanding of machine learning, Machine Learning Q and AI will make it easy for you to painlessly advance your knowledge beyond the basics.
By Sebastian Raschka
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Machine Learning Systems: Designs That ScaleAn example-rich guide, this book teaches you how to implement reactive design solutions in your machine learning systems to make them as reliable as a well-built web app.
By Jeff Smith
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Machine Learning Techniques for CybersecurityThis book explores machine learning (ML) defenses against the many cyberattacks that make our workplaces, schools, private residences, and critical infrastructures vulnerable as a consequence of the dramatic increase in botnets, data ransom, system and network denials of service, sabotage, and data theft attacks.
By Adrian Shuai Li, Ashraf Y. Mahgoub, Charalampos Katsis, Elisa Bertino, Fabrizio Cicala, Hyunwoo Lee, Imtiaz Karim, Sishuai Gong, Sonam Bhardwaj
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Machine Learning Techniques for VLSI Chip DesignThis cutting-edge new volume covers the hardware architecture implementation, the software implementation approach, the efficient hardware of machine learning applications with FPGA or CMOS circuits, and many other aspects and applications of machine learning techniques for VLSI chip design.
By Abhishek Kumar, K. Srinivasa Rao, Suman Lata Tripathi
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Machine Learning Theory and Applications: Hands-on Use Cases with Python on Classical and Quantum MachinesMachine Learning Theory and Applications delves into the realm of machine learning and deep learning, exploring their practical applications by comprehending mathematical concepts and implementing them in real-world scenarios using Python and renowned open-source libraries.
By Xavier Vasques
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Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML InfrastructureA much-needed guide to implementing new technology in workspaces
By Caleb Kaiser, Kristen Kehrer
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Machine Learning Using ROffering an examination of the latest technological advancements in building a scalable machine learning model with Big Data using R, this practical book shows you how to work with a machine learning algorithm and use it to build a ML model from raw data.
By Abhishek Singh, Karthik Ramasubramanian
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Machine Learning Using R: With Time Series and Industry-Based Use Cases in R, Second EditionOffering an examination of the latest technological advancements in building a scalable machine learning model with Big Data using R, this practical book shows you how to work with a machine learning algorithm and use it to build a ML model from raw data.
By Abhishek Singh, Karthik Ramasubramanian
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Machine Learning with Microsoft Technologies: Selecting the Right Architecture and Tools for Your ProjectKnow how to do machine learning with Microsoft technologies.
By Leila Etaati
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Machine Learning with PySpark: With Natural Language Processing and Recommender SystemsIncluding numerous case studies and examples throughout, this book will teach you how to build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges.
By Pramod Singh
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Machine Learning with PySpark: With Natural Language Processing and Recommender Systems, 2nd EditionYou will learn the full spectrum of traditional machine learning algorithm implementations, along with natural language processing and recommender systems.
By Pramod Singh
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Machine Learning with Python: An Approach to Applied Machine LearningProviding code examples in python, this book introduces the concepts of machine learning with mathematical explanations and programming fundamentals.
By Abhishek Vijayvargia
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Machine Learning with R, the tidyverse, and mlrThrough graphics and easy-to-grasp examples, this practical guide simplifies theory and avoids needlessly complicated statistics or math and gets you started in machine learning using R Studio and the awesome mlr machine learning package.
By Hefin I. Rhys
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Machine Learning with SAS ViyaMachine learning can feel intimidating for new practitioners. This step-by-step guide provides everything you need to know to get started with machine learning in SAS Viya, including decision trees, neural networks, and support vector machines.
By SAS Institute
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Machine Learning with TensorFlowUsing a down-to-earth teaching style, this book gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python.
By Nishant Shukla
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Machine Learning with TensorFlow, Second EditionThis book helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks.
By Chris A. Mattmann
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Machine Learning with the Raspberry Pi: Experiments with Data and Computer VisionHelping you acquire a working knowledge of current machine learning (ML), this book will show you how to use the Raspberry Pi to implement ML techniques and algorithms and apply AI and ML tools and techniques to your own work projects and studies.
By Donald J. Norris
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Machine Learning: A Bayesian and Optimization PerspectiveIncluding all major classical techniques, the latest trends, case studies and MATLAB code, this tutorial text gives a unifying perspective on machine learning by covering both probabilistic and deterministic approaches.
By Sergios Theodoridis
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Machine Learning: A Concise IntroductionIncluding many thoughtful exercises as an integral part of the text, with an appendix of selected solutions, this practical resource offers a comprehensive introduction to the core concepts, approaches, and applications of machine learning.
By Steven W. Knox
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Machine Learning: A Constraint-Based Approach, Second EditionMachine Learning: A Constraint-Based Approach, Second Edition provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that include neural networks and kernel machines.
By Alessandro Betti, Marco Gori, Stefano Melacci
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Machine Learning: Algorithms and ApplicationsExplaining the concepts of machine learning algorithms, this practical book describes the application areas of each algorithm discussed, and uses simple, practical examples to help readers understand each algorithm.
By Eihab Bashier Mohammed Bashier, Mohssen Mohammed, Muhammad Badruddin Khan
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Machine Learning: Hands-on for Developers and Technical ProfessionalsOffering clear guidance for the non-mathematician, this accessible, comprehensive guide provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals.
By Jason Bell
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Machine Learning: Hands-On for Developers and Technical Professionals, 2nd EditionThis book provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals.
By Jason Bell
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Machine Learning: Master Supervised and Unsupervised Learning Algorithms with Real ExamplesThis book is designed for data science and analytics students, academicians, and researchers who want to explore the concepts of machine learning and practice the understanding of real cases. Knowing basic statistical and programming concepts would be good, although not mandatory.
By Dr. Kamal Kant Hiran, Dr. Kamlesh Lakhwani, Dr. Ruchi Doshi, Ritesh Kumar Jain
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Machine Learning: The New AIA concise overview of machine learning, this book offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.
By Ethem Alpaydin
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Machine TranslationWritten from a largely historical perspective and in an intuitive manner, this book offers a concise, nontechnical overview of the development of machine translation, including the different approaches, evaluation issues, and market potential.
By Thierry Poibeau
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Machines like Us: Toward AI with Common SenseIn Machines like Us, Ron Brachman and Hector Levesque-both leading experts in AI-consider what it would take to create machines with common sense rather than just the specialized expertise of today's AI systems.
By Hector J. Levesque, Ronald J. Brachman
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Machines Who Think: A Personal Inquiry into the History and Prospects of Artificial IntelligencePortraying Artificial Intelligence (AI) as the scientific apotheosis of one of the most enduring, amusing, and sometimes alarming traditions of human culture, this book shows how AI will be crucial as the World Wide Web moves into its next generation.
By Pamela McCorduck
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Managing AI in the Enterprise: Succeeding with AI Projects and MLOps to Build Sustainable AI OrganizationsReading this book helps you to better sell the business benefits from your AI initiatives and build your skills around scoping and delivering AI projects.
By Klaus Haller
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Mastering Advanced Excel - With ChatGPT Integration: Learn Formulas and Functions, Advance Pivot Tables, Macros, VBA Coding, ChatGPT Integration with ExercisesThis book is a comprehensive guide that explores the advanced features of Microsoft Excel.
By Ritu Arora
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Mastering Classification Algorithms for Machine Learning: Learn How to Apply Classification Algorithms for Effective Machine Learning SolutionsClassification algorithms are essential in machine learning as they allow us to make predictions about the class or category of an input by considering its features. These algorithms have a significant impact on multiple applications like spam filtering, sentiment analysis, image recognition, and fraud detection. If you want to expand your knowledge about classification algorithms, this book is the ideal resource for you.
By Partha Majumdar
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Mastering Large Language Models: Advanced Techniques, Applications, Cutting-Edge Methods, and Top LLMsTransform your business landscape with the formidable prowess of large language models (LLMs). The book provides you with practical insights, guiding you through conceiving, designing, and implementing impactful LLM-driven applications.
By Sanket Subhash Khandare
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Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using PythonConcise on theory, with a strong focus and a practical hands-on approach, this book will help you master machine learning with Python in six steps and explore fundamental to advanced topics, all designed to make you a worthy practitioner.
By Manohar Swamynathan
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Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python, Second EditionYour practical guide to moving from novice to master in machine learning with Python 3 in six steps, this book covers fundamental to advanced topics gradually helping beginners become worthy practitioners.
By Manohar Swamynathan
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Mastering MLOps Architecture: From Code to Deployment: Manage the Production Cycle of Continual Learning ML Models with MLOpsThe book equips readers with knowledge of MLOps tools and infrastructure for tasks like model tracking, model governance, metadata management, and pipeline orchestration. Monitoring and maintenance processes to detect model degradation are covered in depth.
By Raman Jhajj
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Mastering TensorFlow 2.x: Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series DataMastering TensorFlow 2.x is a must to read and practice if you are interested in building various kinds of neural networks with high level TensorFlow and Keras APIs. The book begins with the basics of TensorFlow and neural network concepts, and goes into specific topics like image classification, object detection, time series forecasting and Generative Adversarial Networks.
By Rajdeep Dua
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Mathematical Models Using Artificial Intelligence for Surveillance Systems NEW!This book gives comprehensive insights into the application of AI, machine learning, and deep learning in developing efficient and optimal surveillance systems for both indoor and outdoor environments, addressing the evolving security challenges in public and private spaces.
By Mritunjay Rai, Nitendra Kumar, Padmesh Tripathi, Santosh Kumar
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MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial IntelligenceHelping you get started with MATLAB for deep learning and AI, this in-depth primer offers examples, case studies and a step-by-step approach while demonstrating how to counter real world problems found in big data, smart bots and more.
By Phil Kim
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MATLAB Machine LearningWith practical real world examples in MATLAB, this book shows how MATLAB can be used to solve machine learning problems and how MATLAB graphics can enhance the programmer's understanding of the results and help users of their software grasp the results.
By Michael Paluszek, Stephanie Thomas
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Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object ApproachesWritten by top experts in Medical Imaging, this book is ideal for university researchers and industry practitioners in medical imaging who want a complete reference on key methods, algorithms and applications in medical image recognition, segmentation and parsing of multiple objects.
By S. Kevin Zhou
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Microservices for Machine Learning: Design, implement, and manage high-performance ML systems with microservicesThis book is for data scientists, ML engineers, data engineers, DevOps team, and cloud engineers who are responsible for delivering real-time, accurate, and reliable ML models into production.
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Microsoft Conversational AI Platform for Developers: End-to-End Chatbot Development from Planning to DeploymentBuild a chatbot using the Microsoft Conversational AI platform. This book will teach you, step by step, how to save time and money by including chatbots in your enterprise's strategy.
By Stephan Bisser
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Mind Mapping and Artificial IntelligenceThe goal of Mind Mapping and Artificial Intelligence is to provide readers with an introduction to mind mapping and artificial intelligence, to the problems of using traditional ways of visualizing complex information and as an introduction to mind mapping automation and its integration into Artificial Intelligence applications such as NLU and others.
By Jose Maria Guerrero
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MIT Sloan Management Review Article on AI and Statistics: Perfect TogetherMany companies develop AI models without a solid foundation on which to base predictions - leading to mistrust and failures. Here's how statistics can help improve results.
By Roger W. Hoerl, Thomas C. Redman
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MIT Sloan Management Review Article on AI Tools That Modify Speech Have DownsidesSpeech technologies, such as those that soften accents and filter out emotions, can strip away vital vocal cues and hinder authentic communication.
By Pamela Meyer
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MIT Sloan Management Review Article on Avoid ML Failures by Asking the Right QuestionsMachine learning solutions can miss the mark when data scientists don't check their assumptions. Adopting a beginner's mindset in any domain can help.
By Dusan Popovic, Melissa Valentine, Shreyas Lakhtakia, Will Landecker
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MIT Sloan Management Review Article on Five Key Trends in AI and Data Science for 2024These developing issues should be on every leader's radar screen, data executives say.
By Randy Bean, Thomas H. Davenport
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MIT Sloan Management Review Article on From ChatGPT to HackGPT: Meeting the Cybersecurity Threat of Generative AIIt's time to replace traditional, rule-based approaches to cybersecurity with "smarter" technology and training.
By George Westerman, Karen Renaud, Merrill Warkentin
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MIT Sloan Management Review Article on GenAI Tools and Decision-Making: Beware a New Control TrapGenerative AI tools promise to help leaders make better decisions. But they may also cause trouble by nudging leaders toward a control-based style, research shows.
By Beth K. Humberd, J. Mauricio Galli Geleilate
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MIT Sloan Management Review Article on How ChatGPT Can and Can't Help Managers Design Better Job RolesMany leaders don't know how to design healthy, productive roles. ChatGPT proves effective here, when used wisely.
By Fangfang Zhang, Sharon K. Parker
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MIT Sloan Management Review Article on How Developers Can Lower AI's Climate ImpactAI development can be a power-hungry process, but there are tactics for reducing energy use and carbon emissions.
By Sanjay Podder, Senthil Ramani, Shalabh Kumar Singh
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MIT Sloan Management Review Article on How Generative AI Can Support Advanced Analytics PracticeLarge language models can enhance data and analytics work by helping humans prepare data, improve models, and understand results.
By João Alves, Pedro Amorim
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MIT Sloan Management Review Article on How Robots Can Enhance Performance Management for HumansNew research finds that individuals' performance can be measured more accurately when robots work alongside them.
By Bryan Hong, Lynn Wu
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MIT Sloan Management Review Article on Improve Key Performance Indicators With AIOrganizations that use AI to improve existing KPIs or create new ones realize more business benefits than organizations that adjust their KPIs without AI.
By David Kiron, François Candelon, Michael Chu, Michael Schrage, Shervin Khodabandeh
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MIT Sloan Management Review Article on Learning to Manage Uncertainty, With AI NEW!The second Artificial Intelligence and Business Strategy report of 2024, from MIT Sloan Management Review and Boston Consulting Group, looks at how organizations that combine organizational learning and AI learning are better prepared to manage uncertainty. It examines how the emergence of generative AI is changing workers' and organizations' attitude toward the technology and the opportunities and risks that it poses.
By David Kiron, Leonid Zhukhov, Michael Chu, Sam Ransbotham, Shervin Khodabandeh
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MIT Sloan Management Review Article on Manage AI Bias Instead of Trying to Eliminate ItTo remediate the bias built into AI data, companies can take a three-step approach.
By Sian Townson
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MIT Sloan Management Review Article on Nudge Users to Catch Generative AI ErrorsUsing large language models to generate text can save time but often results in unpredictable errors. Prompting users to review outputs can improve their quality.
By Arnab D. Chakraborty, Patrick Connolly, Paul Daugherty, Philippe Roussiere, Renée Richardson Gosline, Yunhao Zhang, Haiwen Li
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MIT Sloan Management Review Article on Pair People and AI for Better Product Demand ForecastingA new framework helps leaders orchestrate human and AI agents to accurately forecast product demand.
By Devadrita Nair, Maria Jesus Saenz
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MIT Sloan Management Review Article on Reinventing the Organization for GenAI and LLMsPrevious waves of technology have ushered in innovations that strengthened traditional organizational structure. Not so for generative AI and large language models.
By Ethan Mollick
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MIT Sloan Management Review Article on Tackling AI's Climate Change ProblemThe AI industry could soon be one of the largest contributors to carbon emissions, if current trends continue.
By Niklas Sundberg
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MIT Sloan Management Review Article on The Working Limitations of Large Language ModelsOverestimating the capabilities of AI models like ChatGPT can lead to unreliable applications.
By Adam Job, Martin Reeves, Mikhail Burtsev
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MIT Sloan Management Review Article on Three Lessons From Chatting About Strategy With ChatGPTWhen generative AI's capacity for strategy creation is put to the test, it reveals where its strengths lie - and where humans still have the edge.
By Christian Stadler, Martin Reeves
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MIT Sloan Management Review Article on Use Open Source for Safer Generative AI ExperimentsCommercial AI services can put proprietary data at risk - but there are alternatives.
By Aron Culotta, Nicholas Mattei
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MIT Sloan Management Review Article on What Managers Should Ask About AI Models and Data SetsBusiness leaders must make the right calls on whether and how broadly to deploy AI models. Ask these tough questions.
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MIT Sloan Management Review Article on Will Large Language Models Really Change How Work is Done?Large language models (LLMs) are a paradigm-changing innovation in data science. They extend the capabilities of machine learning models to generating relevant text and images in response to a wide array of qualitative prompts. While these tools are expensive and difficult to build, multitudes of users can use them quickly and cheaply to perform some of the language-based tasks that only humans could do before.
By Peter Cappelli, Prasanna (Sonny) Tambe, Valery Yakubovich
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ML.NET Revealed: Simple Tools for Applying Machine Learning to Your ApplicationsGet introduced to ML.NET, a new open source, cross-platform machine learning framework from Microsoft that is intended to democratize machine learning and enable as many developers as possible.
By Sudipta Mukherjee
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MLOps Engineering at ScaleYou'll learn how to rapidly create flexible and scalable machine learning systems without laboring over time-consuming operational tasks or taking on the costly overhead of physical hardware.
By Carl Osipov
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MLOps Lifecycle Toolkit: A Software Engineering Roadmap for Designing, Deploying, and Scaling Stochastic SystemsThis book is aimed at practitioners of data science, with consideration for bespoke problems, standards, and tech stacks between industries.
By Dayne Sorvisto
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Mobile Robot Automation in Warehouses: A Framework for Decision Making and IntegrationThis book illustrates the applications of mobile robot systems in warehouse operations with an integrated decision framework for their selection and application.
By Alp Yildirim, Emel Aktas, Hendrik Reefke
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Modeling and Reasoning with Bayesian NetworksProviding a thorough introduction to the formal foundations and practical applications of Bayesian networks, this book extensively discusses techniques for building Bayesian networks that model real-world situations.
By Adnan Darwiche
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Modelling Human Motion: From Human Perception to Robot DesignThis book provides a comprehensive overview of this challenging research field, closing the loop between perception and action, and between human-studies and robotics.
By Alessandra Sciutti, Francesco Rea, Nicoletta Noceti
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Modern Approaches to Clinical Trials Using SAS: Classical, Adaptive, and Bayesian MethodsUnique and multifaceted, this book thoroughly covers several domains of modern clinical trial design, and includes numerous real-world examples and sample SAS code enabling users to readily apply novel clinical trial design and analysis methodologies in practice.
By Richard C. Zink, Sandeep M. Menon
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Modern Deep Learning for Tabular Data: Novel Approaches to Common Modeling ProblemsDeep learning is one of the most powerful tools in the modern artificial intelligence landscape. While having been predominantly applied to highly specialized image, text, and signal datasets, this book synthesizes and presents novel deep learning approaches to a seemingly unlikely domain - tabular data.
By Andre Ye, Zian Wang
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Modern Marketing Using AI: Leverage AI-enabled Marketing Automation and Insights to Drive Customer Journeys and Maximize Your Brand Equity'Modern Marketing Using AI' covers it all by taking a customer perspective to look at best practices, industry-leading strategies, technologies, and their timing to maximise the value of a brand.
By Malay Upadhyay, Pooja Chitnis
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Modern PyQt: Create GUI Applications for Project Management, Computer Vision, and Data AnalysisWhether you are looking for new ideas to practice your skills as a programmer or you have a specific goal in mind and need some help to get your ideas off the ground, there is something in this practical book for you!
By Joshua Willman
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More than a Chatbot: Language Models DemystifiedThe book is aimed for a general audience, briefly explaining mathematical or technical background when necessary.
By Mascha Kurpicz-Briki
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Multi-Agent Machine Learning: A Reinforcement ApproachProviding a framework for understanding a variety of methods and approaches in multi-agent machine learning, this book discusses methods of reinforcement learning such as a number of forms of multi-agent Q-learning.
By Howard M. Schwartz
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Multimodal Biometric and Machine Learning Technologies: Applications for Computer VisionThis book provides relevant information on multimodal biometric and machine learning technologies and focuses on how humans and computers interact to ever-increasing levels of complexity and simplicity.
By Arpit Jain, Deepika Ghai, Sandeep Kumar, Shilpa Rani, Suman Lata Tripathi
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Multiview Machine LearningAiming to provide inspirations for further research, this self-contained book offers a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning.
By Liang Mao, Lidan Wu, Shiliang Sun, Ziang Dong
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Natural General Intelligence: How Understanding the Brain can help us Build AIThe fields of cognitive science and neuroscience have provided us with a language for describing the ingredients of natural intelligence in terms of computational mechanisms and cognitive functions and studied their implementation in neural circuits.
By Christopher Summerfield
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Natural Language Interfaces to DatabasesThis book presents a comprehensive overview of Natural Language Interfaces to Databases (NLIDBs), an indispensable tool in the ever-expanding realm of data-driven exploration and decision making.
By Davood Rafiei, Dragomir Radev, Yunyao Li
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Natural Language Processing and Machine Learning for DevelopersThis book is for developers who are looking for an introduction to basic concepts in NLP and machine learning. Numerous code samples and listings are included to support myriad topics.
By Oswald Campesato
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Natural Language Processing for Hackers: Learn to Build Awesome Apps That Can Understand PeopleThanks to NLP, computers are capable of highly accurate text and speech-based interaction with humans.
By George-Bogdan Ivanov
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Natural Language Processing Fundamentals for DevelopersThis book is for developers who are looking for an overview of basic concepts in Natural Language Processing. It casts a wide net of techniques to help developers who have a range of technical backgrounds.
By Oswald Campesato
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Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with PythonThis book is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI.
By Cole Howard, Hannes Max Hapke, Hobson Lane
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Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using PythonHelping you to quickly deploy natural language processing techniques with Python, this book will give you a toolbox of solutions to apply to your own projects in the real world, making your development time quicker and more efficient.
By Adarsha Shivananda, Akshay Kulkarni
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Neural Network Modeling and Identification of Dynamical SystemsPresenting a new approach on how to obtain the adaptive neural network models for complex systems that are typically found in real-world applications, this book offers solutions for identifying controlled dynamical systems, as well as identifying characteristics of such systems.
By Mikhail V. Egorchev, Yury V. Tiumentsev
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Neural Networks for Electronics Hobbyists: A Non-Technical Project-Based IntroductionWith an in-book project made from inexpensive, readily available parts, this non-technical, project-based resource will teach you how to implement and build a neural network versus implementing a network in software.
By Richard McKeon
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Neural Networks, 2nd EditionThe book presents the concepts in a clear and concise manner. It discusses the matter with suitable examples, review questions and multiple choice questions.
By T.N. Shankar
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Neural Text-to-Speech SynthesisThis book introduces neural network-based TTS in the era of deep learning, aiming to provide a good understanding of neural TTS, current research and applications, and the future research trend.
By Xu Tan
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Neuro Fuzzy Systems, 2nd EditionThe book is an introduction to the field of fuzzy logic. It covers Approach to artificial intelligence, artificial neural network systems, fuzzy systems, hybrid intelligent systems. The book is also suitable as a self-study guide for non-computer science professionals.
By Lamba, V.K.
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neuroAI: Winning the Minds of Consumers with Neuroscience Powered GenAiNeuroscience-powered GenAI enables massive impact on everything from medicine to marketing, entertainment to education, flavors to fragrances, and much more. We put humanity back at the center of GenAI by simply blending cutting edge neuroscience with bleeding edge GenAI.
By A. K. Pradeep, Anirudh Acharya, Rajat Chakravarty, Ratnakar Dev
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NLP: The Essential Handbook for Business: Communication Techniques to Build Relationships, Influence Others, and Achieve Your GoalsWhether you want to be a better leader, manager, negotiator, salesperson, or decision-maker, this book contains numerous examples and practical exercises that will help you use neurolinguistic programming (NLP) to improve your career and achieve success at work, whether in the private or public sector, and regardless of your current role.
By Jeremy Lazarus
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No-Code Artificial Intelligence: The New Way to Build AI Powered ApplicationsThis book is for anyone who wants to build an AI app without writing any code. It is also helpful for current and aspiring AI and Machine Learning professionals who are looking to build automated, intelligent, and smart AI-based solutions.
By Ambuj Agrawal
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Online Machine Learning: A Practical Guide with Examples in PythonThis book deals with the exciting, seminal topic of Online Machine Learning (OML).
By Eva Bartz, Thomas Bartz-Beielstein
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Operationalizing Machine Learning Pipelines: Building Reusable and Reproducible Machine Learning Pipelines Using MLOps , First EditionThis book will provide you with an in-depth understanding of MLOps and how you can use it inside an enterprise.
By Shaleen Bengani, Vishwajyoti Pandey
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Optimization Techniques in Engineering: Advances and ApplicationsThis book aims to present some of the recent developments in the area of optimization theory, methods, and applications in engineering. It focuses on the metaphor of the inspired system and how to configure and apply the various algorithms.
By Anita Khosla, Dheeraj Joshi, Ikbal Ali, Prasenjit Chatterjee
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Optimized Predictive Models in Health Care Using Machine LearningThis book is a comprehensive guide to developing and implementing optimized predictive models in healthcare using machine learning and is a required resource for researchers, healthcare professionals, and students who wish to know more about real-time applications.
By Anuj Sharma, Lokesh Pawar, Navneet Kaur, Rohit Bajaj, Sandeep Kumar
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Optimizing AI and Machine Learning Solutions: Your Ultimate Guide to Building High-Impact ML/AI SolutionsThis book approaches data science solution building using a principled framework and case studies with extensive hands-on guidance.
By Mirza Rahim Baig
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Oracle Business Intelligence with Machine Learning: Artificial Intelligence Techniques in OBIEE for Actionable BIRelating theory to actual practice, this book follows a when-to, why-to, and how-to approach to explain the key steps involved in utilizing the artificial intelligence components now available for a successful OBIEE implementation.
By Lakshman Bulusu, Rosendo Abellera
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Oracle Digital Assistant: A Guide to Enterprise-Grade ChatbotsUse this book as an on-ramp to the development of enterprise-grade chatbots and digital assistants.
By Ardhendu Samajdwer, Luc Bors, Mascha van Oosterhout
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Our Next Reality: How the AI-powered Metaverse Will Reshape the WorldIn Our Next Reality, two industry veterans provide a data-driven debate on whether the new world we're creating will be a technological utopia or an AI-powered dystopia and give guidance on how to aim for the best future we can.
By Alvin Wang Graylin, Louis Rosenberg
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Own the A.I. Revolution: Unlock Your Artificial Intelligence Strategy to Disrupt Your CompetitionProviding a future-forward look at A.I. including how it will look in the coming years and the countless business opportunities it will offer, the risks that come with it-this book delivers the knowledge you need to navigate it all in real and practical ways.
By Michael Ashley, Neil Sahota
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Personalized Human-Computer InteractionThis book describes foundations of user modeling, discusses user interaction as a basis for adaptivity, and showcases several personalization approaches in a variety of domains, including music recommendation, tourism, and accessible user interfaces.
By Eelco Herder, Mirjam Augstein, Wolfgang Wörndl
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Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlowThis book gives an introduction to practical AI in the medical sphere, focusing on real-life clinical problems, how to solve them with actual code, and how to evaluate the efficacy of those solutions.
By Abhinav Suri
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Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C#Rather than focusing on theory and overly scientific language, this hands-on book will enable practitioners of all levels to not only learn about AI but implement its practical uses.
By Arnaldo Pérez Castaño
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Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and KivyExplaining the basic concepts of deep learning (DL) using numerical examples, this book targets those of tomorrow's data scientists who would like to start understanding the basic concepts of DL for computer vision.
By Ahmed Fawzy Gad
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Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and FrameworksThis book explores the so-called black-box models to boost the adaptability, interpretability, and explainability of the decisions made by AI algorithms using frameworks such as Python XAI libraries, TensorFlow 2.0+, Keras, and custom frameworks using Python wrappers.
By Pradeepta Mishra
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Practical Full Stack Machine LearningThis book is geared toward data scientists who want to become more proficient in the entire process of developing ML applications from start to finish. Knowing the fundamentals of machine learning and Keras programming would be an essential requirement.
By Alok Kumar Goel
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Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web ServicesHelping you understand the importance of data and how to organize it for use within your machine learning (ML) project, this book includes case study examples and projects that you can take away as templates for re-use and exploration for your own ML programming projects with Java.
By Mark Wickham
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Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using PythonExplaining all concepts using real-life scenarios, this book provides insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python.
By Himanshu Singh
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Practical Machine Learning for Streaming Data with Python: Design, Develop, and Validate Online Learning ModelsDesign, develop, and validate machine learning models with streaming data. This book is a quick start guide for data scientists and machine learning engineers looking to implement machine learning models for streaming data with Python to generate real-time insights.
By Sayan Putatunda
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Practical Machine Learning in JavaScript: TensorFlow.js for Web DevelopersBuild machine learning web applications without having to learn a new language. This book will help you develop basic knowledge of machine learning concepts and applications.
By Charlie Gerard
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Practical Machine Learning in RA perfect guide for professional self-taught learners or students in an introductory machine learning course, this book explains what machine learning is, demonstrates its organizational benefits, and provides hands-on examples created in the R programming language.
By Fred Nwanganga, Mike Chapple
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Practical Machine Learning with AWS: Process, Build, Deploy, and Productionize Your Models Using AWSSuccessfully build, tune, deploy, and productionize any machine learning model, and know how to automate the process from data processing to deployment with this thorough guide.
By Himanshu Singh
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Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent SystemsUsing real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner.
By Dipanjan Sarkar, Raghav Bali, Tushar Sharma
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Practical Machine Learning with Rust: Creating Intelligent Applications in RustExploring machine learning in Rust and the intricacies of creating machine learning applications, this book will enable readers to begin working toward creating applications that are more performant, memory safe, and less-resource heavy.
By Joydeep Bhattacharjee
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Practical Mathematics for AI and Deep Learning: A Concise yet In-Depth Guide on Fundamentals of Computer Vision, NLP, Complex Deep Neural Networks and Machine LearningThis book will teach you the common terminologies used in artificial intelligence such as models, data, parameters of models, and dependent and independent variables.
By Shravan Kumar Belagal Math, Tamoghna Ghosh
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Practical Natural Language Processing with Python: With Case Studies from Industries Using Text Data at ScaleWork with natural language tools and techniques to solve real-world problems. This book focuses on how natural language processing (NLP) is used in various industries.
By Mathangi Sri
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Practical Python AI Projects: Mathematical Models of Optimization Problems with Google OR-ToolsWritten by an industry expert and teacher, this guide is a very practical, hands-on Python book with several projects or case studies to build, and provides real-world templates that you may re-purpose for your own coding projects.
By Serge Kruk
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Practical TensorFlow.js: Deep Learning in Web App DevelopmentTensorFlow.js is part of a bigger framework named TensorFlow, which has many tools that supplement it, such as TensorBoard, ml5js, tfjs-vis. This book will cover all these technologies and show how they integrate with TensorFlow.js to create intelligent web apps.
By Juan De Dios, Santos Rivera
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Pragmatic Machine Learning with Python: Learn How to Deploy Machine Learning Models in ProductionAn easy-to-understand guide to learning practical Machine Learning techniques with Mathematical foundations, this book will be ideal for working professionals who want to learn Machine Learning from scratch.
By Avishek Nag
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Predicting the Unknown: The History and Future of Data Science and Artificial IntelligencePredicting the Unknown provides the framework that will help you understand where AI is headed, and how to best prepare for the world that's coming in the next few years, both as a society and within a business.
By Stylianos Kampakis
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Predictive Analytics and Data Mining: Concepts and Practice with RapidMinerWhether you are brand new to data mining or working on your tenth project, this easy-to-understand book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions.
By Bala Deshpande, Vijay Kotu
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Principles of Artificial Neural Networks, 3rd EditionCovering the basic theory and architecture of the major artificial neural networks, this unique book presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition.
By Daniel Graupe
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Principles of Quantum Artificial IntelligenceIntroducing quantum computation and its application to Artificial Intelligence, this book highlights problem solving and knowledge representation frameworks, and presents a general model of a quantum computer that is based on production systems.
By Andreas Wichert
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Privacy-Preserving Machine LearningPrivacy Preserving Machine Learning explores privacy preservation techniques through real-world use cases in facial recognition, cloud data storage, and more.
By Di Zhuang, G. Dumindu Samaraweera, J. Morris Chang
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Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python, Second EditionPro Deep Learning with TensorFlow 2.0 begins with the mathematical and core technical foundations of deep learning.
By Santanu Pattanayak
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Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in PythonProviding practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions, this book will allow you to get up to speed quickly using TensorFlow and to optimize different deep learning architectures with ease.
By Santanu Pattanayak
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Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and RBridging the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better, this book will give you the confidence and skills needed when developing all the major machine learning models.
By V Kishore Ayyadevara
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Probabilistic Deep Learning: With Python, Keras and TensorFlow ProbabilityA hands-on guide to the principles that support neural networks, this book provides easy-to-apply code and uses popular frameworks to keep you focused on practical applications.
By Beate Sick, Elvis Murina, Oliver Dürr
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Probabilistic Finite Element Model Updating Using Bayesian Statistics: Applications to Aeronautical and Mechanical EngineeringEssential reading for researchers, practitioners and students in mechanical and aerospace engineering, this book covers probabilistic finite element model updating, achieved using Bayesian statistics.
By Ilyes Boulkaibet, Sondipon Adhikari, Tshilidzi Marwala
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Productionizing AI: How to Deliver AI B2B Solutions with Cloud and PythonThis book is a guide to productionizing AI solutions using best-of-breed cloud services with workarounds to lower costs.
By Barry Walsh
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Prompt Engineering Using ChatGPT: Crafting Effective Interactions and Building GPT AppsThis book is designed for mastering the art and science of prompt engineering in the realm of artificial intelligence.
By Mehrzad Tabatabaian
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Python 3 Data Visualization Using ChatGPT /GPT-4This book is designed to show readers the concepts of Python 3 programming and the art of data visualization. It also explores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data stories.
By Oswald Campesato
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Python 3 Using ChatGPT/GPT-4This book is intended primarily for people who want to learn both Python 3 and how to use ChatGPT with Python. Chapter One begins with an introduction to fundamental aspects of Python programming, including various data types, number formatting, Unicode and UTF-8 handling, and text manipulation techniques.
By Oswald Campesato
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Python for Data Mining Quick Syntax ReferenceCovering each concept concisely with many illustrative examples, this book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis.
By Valentina Porcu
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Python for TensorFlow Pocket PrimerIntended for software developers who are advanced beginners, this book is designed to prepare programmers for machine learning and deep learning/TensorFlow topics.
By Oswald Campesato
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Python Machine Learning Case Studies: Five Case Studies for the Data ScientistEquipped with practical examples along with code snippets, this step-by-step guide uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied.
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Python Machine Learning Projects: Learn How to Build Machine Learning Projects from ScratchSince the last two decades, there have been many advancements in the field of Machine Learning. If you are new or want a comprehensive understanding of Machine Learning, then this book is for you.
By Dr. Deepali R Vora, Dr. Gresha S Bhatia
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Pythonic AI: A Beginner's Guide to Building AI Applications in Python"Pythonic AI" is a book that teaches you how to build AI models using Python. It also includes practical projects in different domains so you can see how AI is used in the real world.
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PyTorch Recipes: A Problem-Solution ApproachFor readers wanting to dive straight into programming PyTorch, this book adopts a problem-solution approach to PyTorch programming, includes deep learning algorithms with PyTorch and covers natural language processing and text processing.
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PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models, Second EditionLearn how to use PyTorch to build neural network models using code snippets updated for this second edition. This book includes new chapters covering topics such as distributed PyTorch modeling, deploying PyTorch models in production, and developments around PyTorch with updated code.
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Quality in the Era of Industry 4.0: Integrating Tradition and Innovation in the Age of Data and AIEnables readers to use real-world data from connected devices to improve product performance, detect design vulnerabilities, and design better solutions
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Quantum Computing and Artificial Intelligence: Training Machine and Deep Learning Algorithms on Quantum ComputersThis book is to explore and explain the strategically sound capabilities at the synchronization between quantum computing and artificial intelligence (AI).
By Abhishek Kumar, Ashutosh Kumar Dubey, Oswalt Manoj S, Pethuru Raj, Surbhi Bhatia Khan
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Quantum Machine Learning with Python: Using Cirq from Google Research and IBM QiskitQuickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use cases that can be solved through Quantum based algorithms.
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Quantum Machine Learning: An Applied ApproachThe book offers a hands-on approach to the field of QML using updated libraries and algorithms in this emerging field.
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Quantum Machine Learning: What Quantum Computing Means to Data MiningBridging the gap between abstract developments in quantum computing and the applied research on machine learning, this book pares down the complexity of the disciplines involved, and focuses on providing a synthesis that explains the most important machine learning algorithms in a quantum framework.
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Real-Time Applications of Machine Learning in Cyber-Physical SystemsReal-Time Applications of Machine Learning in Cyber-Physical Systems provides a relevant theoretical framework and the most recent empirical findings on various real-time applications of machine learning in cyber-physical systems.
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Real-World Machine LearningWithout overdosing you on academic theory and complex mathematics, this book introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems.
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Real-World Natural Language ProcessingThis book teaches you how to create practical NLP applications without getting bogged down in complex language theory and the mathematics of deep learning.
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Regular Expression Puzzles and AI Coding Assistants: 24 Puzzles Solved by the Author, with and Without Assistance from Copilot, ChatGPT and MoreRegular Expression Puzzles and AI Coding Assistants is the perfect starting point for programmers of any experience level who want to understand the capabilities-and the limitations-of these exciting new tools.
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Reinforcement Learning: With Open AI, TensorFlow and Keras Using PythonCovering the basics of Reinforcement Learning with the help of the Python programming language, this book touches on several aspects, such as Q learning, MDP, RL with Keras, and OpenAI Gym and OpenAI Environment, and also cover algorithms related to RL.
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Reshaping Intelligent Business and Industry: Convergence of AI and IoT at the Cutting EdgeThis book will appeal to all business and organization leaders, entrepreneurs, policymakers, and economists, as well as scientists, engineers, and students working in artificial intelligence, software engineering, and information technology.
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Responsible AI: Implement an Ethical Approach in your OrganizationLearn how to design and operationalize a responsible AI strategy for your organization with this guide for business leaders, covering its strategic, operational and technical bases.
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Robust Machine Learning: Distributed Methods for Safe AIStudying the robustness of machine learning algorithms is a necessity given the ubiquity of these algorithms in both the private and public sectors.
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Scalable AI and Design Patterns: Design, Develop, and Deploy Scalable AI SolutionsUnderstand and apply the design patterns outlined in this book to design, develop, and deploy scalable AI solutions that meet your organization's needs and drive innovation in the era of intelligent automation.
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Semantic Intelligent Computing and ApplicationsThe edited book integrates artifi cial intelligence, machine learning, IoT, blockchain, and natural language processing with semantic web technologies.
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Simplified Machine Learning: The Essential Building Blocks for Machine Learning Expertise"Simplified Machine Learning" is a comprehensive guide that navigates readers through the intricate landscape of Machine Learning, offering a balanced blend of theory, algorithms, and practical applications.
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Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and HumanityA critical evaluation of the utopian claims and dystopian counterclaims of artificial intelligence (AI) prognosticators, this book introduces the reader to the pitfalls and promises of AI in its modern incarnation and the growing trend of systems to "reach off the Web" into the real world.
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Source Separation and Machine LearningIncluding a number of case studies throughout, this book presents the fundamentals in adaptive learning algorithms for Blind Source Separation (BSS) and emphasizes the importance of machine learning perspectives.
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Statistical Modeling in Machine Learning: Concepts and ApplicationsStatistical Modeling in Machine Learning: Concepts and Applications presents the basic concepts and roles of statistics, exploratory data analysis and machine learning.
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Statistics for Machine Learning: Implement Statistical methods used in Machine Learning using PythonThis book talks about Statistical concepts in detail, with its applications in Python.
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Succeeding with AI: How to Make AI Work for Your BusinessSetting out a blueprint for AI projects to ensure they are predictable, successful, and profitable, this book is filled with practical techniques for running data science programs that are cost effective and focused on the right business goals.
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Superhuman Innovation: Transforming Business with Artificial IntelligenceSupported by varied and innovative case studies from a variety of industries, this book is a practical guide to how AI and Machine Learning are impacting not only how businesses, brands, and agencies innovate, but also what they innovate: products, services and content.
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Superintelligence: Paths, Dangers, StrategiesAfter an utterly engrossing journey that takes us to the frontiers of thinking about the human condition and the future of intelligent life, we find in this work nothing less than a reconceptualization of the essential task of our time.
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Swarm Intelligence: An Approach from Natural to ArtificialThis important authored book presents valuable new insights by exploring the boundaries shared by cognitive science, social psychology, artificial life, artificial intelligence, and evolutionary computation by applying these insights to solving complex engineering problems.
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Synthetic Data for Deep Learning: Generate Synthetic Data for Decision Making and Applications with Python and RSynthetic Data for Deep Learning begins by tracing the need for and development of synthetic data before delving into the role it plays in machine learning and computer vision.
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Systems Engineering and Artificial IntelligenceThis book provides a broad overview of the benefits from a Systems Engineering design philosophy in architecting complex systems composed of artificial intelligence (AI), machine learning (ML) and humans situated in chaotic environments.
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Tales from a Robotic World: How Intelligent Machines Will Shape Our FutureIn this book, Floreano, a roboticist, and Nosengo, a science writer, bring us tales from the future of intelligent machines-from rescue drones to robot spouses-along with accounts of the cutting-edge research that could make it all possible.
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Tech Trends of the 4th Industrial Revolutionhis book is designed to bridge the gap which exists between the 4th industry-related technology boom and the general public's perception of it. The book introduces the content and applications of the related major technologies, such as the Internet of Things, blockchain, artificial intelligence, cloud computing, and big data.
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The AI Playbook: Mastering the Rare Art of Machine Learning DeploymentIn The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning projects from conception to deployment. He illustrates the practice with stories of success and of failure, including revealing case studies from UPS, FICO, and prominent dot-coms.
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The Book of Chatbots: From ELIZA to ChatGPTThe Book of Chatbots is both a retrospective and a review of current artificial intelligence-driven conversational solutions.
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The Challenge to AI: Consciousness and Ecological General IntelligenceThis book invites readers to explore the intricate world where AI, consciousness, and human cognition intersect. This groundbreaking book considers the profound differences between man and machine, challenging existing notions in AI and cognitive science.
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By Chinese Academy of Engineering
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The Executive Guide to Artificial Intelligence: How to Identify and Implement Applications for AI in Your OrganizationThe Executive Guide to Artificial Intelligence explains how organizations can use machine intelligence to increase their efficiency and productivity. In this Summary, we discuss the salient points of the book based on our interpretation of its contents.
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The Promise of Artificial Intelligence: Reckoning and JudgmentWith an examination of the history of artificial intelligence, this provocative book presents an argument that-despite dramatic advances in the field-artificial intelligence is nowhere near developing systems that are genuinely intelligent.
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The Secrets of AI Value Creation: A Practical Guide to Business Value Creation with Artificial Intelligence from Strategy to ExecutionUnlock unprecedented levels of value at your firm by implementing artificial intelligence
By Michael Proksch, Nisha Paliwal, Wilhelm Bielert
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The Tiger and the Rabbit: Harnessing the Power of the Metaverse, WEB3, and AI for Business SuccessIn The Tiger and The Rabbit: Harnessing the Power of the Metaverse, Web3, and AI for Business Success, A Business Fable, former Amazon Web Services VP and COO and Channel Chief at Unstoppable Domains, Sandy Carter, delivers an engaging new narrative about a brand struggling to improve their customer experience.
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The UnRules: Man, Machines and the Quest to Master MarketsPresenting the dynamic rules for success in the age of exponential information, this expert guide is a prescriptive, inspirational book for everyone navigating the tidal waves of the information age.
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Think AI: Explore the Flavours of Machine Learning, Neural Networks, Computer Vision and NLP with Powerful Python Libraries"Think AI" is a rapid-learning book that covers a wide range of Artificial Intelligence topics, including Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. Most popular Python libraries and toolkits are applied to develop intelligent and thoughtful applications.
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Time Series Forecasting using Deep LearningThis book is written for engineers, data scientists, and stock traders who want to build time series forecasting programs using deep learning. Possessing some familiarity of Python is sufficient, while a basic understanding of machine learning is desirable but not needed.
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TouchIT: Understanding Design in a Physical-Digital World, 1st EditionTouchIT brings together insights from human-computer interaction and industrial design, exploring these themes under four main headings: human body and mind; objects and things; space; and information and computation.
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Transactional Machine Learning with Data Streams and AutoML: Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud Using PythonUnderstand how to apply auto machine learning to data streams and create transactional machine learning (TML) solutions that are frictionless and elastic.
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Transfer Learning for Natural Language ProcessingThis book teaches you to create powerful NLP solutions quickly by building on existing pretrained models. This instantly useful book provides crystal-clear explanations of the concepts you need to grok transfer learning along with hands-on examples so you can practice your new skills immediately. As you go, you'll apply state-of-the-art transfer learning methods to create a spam email classifier, a fact checker, and more real-world applications.
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Transformer, BERT, and GPT: Including ChatGPT and Prompt EngineeringThis book provides a comprehensive group of topics covering the details of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4.
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Transforming Conversational AI: Exploring the Power of Large Language Models in Interactive Conversational AgentsThis book will help you navigate from the traditional world of dialogue systems that revolve around hard coded scripts, to the world of large language models, prompt engineering, conversational AI platforms, multi-modality, and ultimately autonomous agents.
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TRIVERGENCE: Accelerating Innovation with AI, Blockchain, and the Internet of ThingsIn Trivergence, Bob Tapscott, writer, speaker, complex system designer, and former CIO introduces an exciting new concept in explaining how the intersection of artificial intelligence (AI), blockchain, and the Internet of Things (IoT) will transform business and society.
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Trustworthy Artificial Intelligence Implementation: Introduction to the TAII FrameworkThis book can serve as a case study or self-review for c-level managers and students who are interested in this field. It also offers valuable guidelines and perspectives for policymakers looking to pursue an ethical approach to AI.
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Understanding Large Language Models: Learning Their Underlying Concepts and TechnologiesThis book will teach you the underlying concepts of large language models (LLMs), as well as the technologies associated with them.
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Unleashing The Power of ChatGPT: A Real World Business ApplicationsExplore the role ChatGPT can play in business, including operations, marketing, sales, and delivery. This concise book illustrates how ChatGPT is changing the way individuals interact with machines and how you can take advantage of its capabilities for business.
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Unlocking the Power of AIArtificial intelligence adoption is accelerating across industries, but many learning teams may not be moving the needle fast enough. Now is the prime opportunity for learning teams to prioritize its usage. However, although some L&D professionals have experimented with generative AI tools, few know what the game-changing technology really is.
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Up and Running Google AutoML and AI Platform: Building Machine Learning and NLP Models Using AutoML and AI Platform for Production EnvironmentThis book will give you an in-depth knowledge of Google AutoML and AI Platform by implementing real-life examples such as the Issue Categorization System, Sentiment Analysis, and Loan Default Prediction System. This book is relevant to the developers, cloud enthusiasts, and cloud architects at the beginner and intermediate levels.
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Using AI in Marketing: An IntroductionThis book enables marketing professionals to harness the power of AI, featuring in-depth discussions on key topics such as generative AI, personalized customer experiences, team and workflow augmentation, and data analysis optimization.
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Voice User Interface Design: Moving from GUI to Mixed Modal InteractionPresenting real-world applications to teach you the principles of VUI design and how to implement VUI, this book provides examples of multi-modal interactions and their differences to assist you in decision making while designing for VUI.
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Ways of Knowing in HCIProviding comprehensive and up-to-date coverage of current research methods in Human Computer Interaction (HCI), this book equips readers to handle complex research questions, and includes a structured context with key references and thought-provoking exercises for students.
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Winning the National Security AI Competition: A Practical Guide for Government and Industry LeadersIn introducing the National Security Commission on AI's final report, Eric Schmidt, former Google CEO, and Robert Work, former Deputy Secretary of Defense, wrote: "The human talent deficit is the government's most conspicuous AI deficit and the single greatest inhibitor to buying, building, and fielding AI-enabled technologies for national security purposes."
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Wireless AI: Wireless Sensing, Positioning, IoT, and CommunicationsWith this groundbreaking text, discover how wireless artificial intelligence (AI) can be used to determine position at centimeter level, sense motion and vital signs, and identify events and people.
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Working with AI: Real Stories of Human-Machine CollaborationThis book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled-"smart"-systems at work.
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Writing AI Prompts For DummiesLearn the art of writing effective AI prompts and break into an exciting new career field
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Your AI Survival Guide: Scraped Knees, Bruised Elbows, and Lessons Learned from Real-World AI DeploymentsPractical and proven AI deployment strategies for non-technical business leaders
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Beginning Database Design SolutionsExplaining how a database should be organized to ensure data integrity without sacrificing performance, this guide offers procedures for designing robust, flexible and secure databases that provide a solid foundation for all of your database applications.
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Beginning Database Design: From Novice to ProfessionalOffering numerous examples to help you avoid the many pitfalls that entrap new and not-so-new database designers, this book provides short, easy-to-read explanations of how to get database design right the first time.
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Beginning Neo4jWith example data models, best practices, and an application putting everything together, this thorough book will give you everything you need to really get started with Neo4j.
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Beginning Oracle Database 11g Administration: From Novice to ProfessionalFeaturing not only technical information, but also guidance on work practices that are as vital to your success as technical skills, this book shows you how to become a much better Oracle database administrator than you ever thought possible.
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Beginning PHP and MySQL 5: From Novice to Professional, Second EditionPacked with practical examples and insight into real-world challenges, this book covers PHP 5, MySQL 5, and how these two popular open source technologies work together to create powerful websites.
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Beginning SQLPacked with essential code, theories, concepts, and techniques, this comprehensive text will have you quickly designing your own databases and writing SQL code sufficient for many real-world situations.
By John W. Colby, Paul Wilton
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Beginning SQL Queries: From Novice to ProfessionalIntroducing you to all the main techniques and keywords needed to create SQL queries, this foundational guide offers different ways to use simple and nested queries, and explores a variety of aggregate functions and summary techniques.
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Beginning SQL Queries: From Novice to Professional, Second EditionIntroducing all the main techniques and keywords needed to create SQL queries, this book is aimed at intelligent laypeople who need to extract information from a database, and at developers and other IT professionals who are new to SQL.
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Beginning SQL Server Modeling: Model-Driven Application Development in SQL Server 2008Containing the information you need to be successful with designing and implementing workflow modeling, this book will help you gain a comprehensive understanding of how to apply DSLs and other modeling components in the development of SQL Server implementations.
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Beginning VB.NET DatabasesWritten for developers who want to bring their current databases and applications up to speed with the newest .NET framework, this hands-on book shows how to harness the power of VB.NET to write your own practical database programs.
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Building a Data Culture: The Usage and Flow Data Culture ModelThis book is a comprehensive guide that unveils the transformative power of data and provides actionable insights to cultivate a data-driven organizational culture.
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Building and Managing the Metadata Repository: A Full Lifecycle GuideClearly and cogently, Marco demystifies the design and use of data dictionaries in a business environment.
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Building the Operational Data Store, Second EditionThe definitive reference on designing and implementing the operational data store.
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Competing with High Quality Data: Concepts, Tools, and Techniques for Building a Successful Approach to Data QualityTaking a holistic approach to improving data quality, from collection to usage, this book contains real-world case studies illustrating how companies across a broad range of sectors have employed data quality systems, whether or not they succeeded, and what lessons were learned.
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CompTIA Data+ Study Guide: Exam DA0-001CompTIA Data+ Study Guide: Exam DA0-001 delivers easily accessible and actionable instruction for achieving data analysis competencies required for the job and on the CompTIA Data+ certification exam.
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CompTIA DataSys+ Study Guide: Exam DS0-001In the book, you'll explore the essentials of databases, their deployment, management, maintenance, security, and more.
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CompTIA DataX Study Guide: Exam DY0-001Perfect for aspiring and current data science professionals, CompTIA DataX Study Guide is a must-have resource for anyone preparing for the DataX certification exam (DY0-001) and seeking a better, more reliable, and faster way to succeed on the test.
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Concise Guide to Databases: A Practical IntroductionPresenting review and discussion questions, as well as hands-on exercises, this easy-to-read reference provides a comprehensive introduction to databases, opening with a concise history of databases and of data as an organizational asset.
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Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data VaultDrawing upon years of practical experience and using numerous examples and an easy to understand framework, this timely guide defines the importance of data architecture and how it can be used effectively to harness big data within existing systems.
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Data Fluency: Using Data Presentation Tools for Effective CommunicationFocusing on user experience, making reports approachable, and presenting data in a compelling, inspiring way, this book will help you learn the best practices of data presentation and the ways that reporting and dashboards can help organizations effectively gauge performance, identify areas for improvement, and communicate results.
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Data Is Everybody's Business: The Fundamentals of Data MonetizationIn Data Is Everybody's Business, the authors offer a clear and engaging way for people across the entire organization to understand data monetization and make it happen.
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Data Lakes For DummiesThis book provides the perfect introductory survey of these novel and growing features of the information landscape. It explains how they can help your business, what they can (and can't) achieve, and what you need to do to create the lake that best suits your particular needs.
By Alan R. Simon
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Data Management for Multimedia RetrievalOffering a unified perspective on retrieval efficiency and effectiveness, this textbook on multimedia data management techniques provides a comprehensive treatment, from basic to advanced concepts, that will be useful to readers of different levels.
By K. Selçuk Candan, Maria Luisa Sapino
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Data QualityProviding an exposé of research and practice in the data quality field for technically oriented readers, this book forms a theoretical foundation that is both rigorous and relevant for dealing with advanced issues related to data quality.
By Mostapha Ziad, Richard Y. Wang, Yang W. Lee
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Data Quality AssessmentSkipping theory and focusing purely on what is practical and what works, this text contains a proven approach to identifying, warehousing, and analyzing data errors - the first step in any data quality program.
By Arkady Maydanchik
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Data Quality: The Accuracy DimensionAn informative resource for any data management staff, IT management staff, and CIOs of companies with data assets.
By Jack E. Olsen
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Data Stewardship: An Actionable Guide to Effective Data Management and Data GovernanceProviding clear, concise, practical advice on implementing and running data stewardship, this book is loaded with information on stewardship so you can get right to work, have early successes, and measure and communicate those successes, gaining more support for this critical effort.
By David Plotkin
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Database Benchmarking and Stress Testing: An Evidence-Based Approach to Decisions on Architecture and TechnologyBased on the empirical method presented in this book for answering "what if" questions about database performance, database administrators will be able to make sound architectural decisions in a fast-changing landscape of virtualized servers and container-based solutions.
By Bert Scalzo
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Database Design and Relational Theory: Normal Forms and All That Jazz, Second EditionProviding friendly examples of theory without sacrificing accuracy or precision, this book will help you create database designs that scale, meet business requirements, and inherently work toward keeping your data structured and usable in the face of changing business models and software systems.
By C. J. Date
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Database Design Using Entity-Relationship DiagramsWith this comprehensive guide, database designers and developers can quickly learn all the ins and outs of E-R diagramming to become expert database designers.
By Richard Earp, Sikha Bagui
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Database Modeling and Design: Logical Design, Fifth EditionIncluding clear explanations, lots of terrific examples, an illustrative case study, and practical advice, this text will show you how to model and design your database application in consideration of new technology or new business needs.
By H.V. Jagadish, Sam S. Lightstone, Toby J. Teorey, Tom Nadeau
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Database Performance at Scale: A Practical GuideThe book begins with a look at the many factors impacting database performance at the extreme scale that today's game changing applications face-or at least hope to achieve.
By Cynthia Dunlop, Felipe Cardeneti Mendes, Pavel Emelyanov, Piotr Sarna
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Database Systems: A Pragmatic ApproachDetailing concepts, principles, design, implementation, and management issues of databases, this comprehensive, yet concise book discusses the database as an essential component of a software system, as well as a valuable, mission critical corporate resource.
By Elvis C. Foster, Shripad Godbole
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Database Systems: A Pragmatic Approach, Second EditionProviding a comprehensive, yet concise introduction to database systems, with special emphasis on the relational database model, this book discusses the database as an essential component of a software system, as well as a valuable, mission critical corporate resource.
By Elvis C. Foster, Shripad Godbole
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Databases A Beginner's GuideFeaturing clear examples using both Microsoft Access and Oracle, this practical resource provides a strong foundation that will be useful to any of you wanting to learn more about database technology.
By Andrew J. Oppel
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DBA Transformations: Building Your Career in the Transition to On-Demand Cloud Computing and Extreme AutomationHelping you adapt your career to the changing industry, this book shows you how to formulate a plan for development and change to remain valuable in the face of radical new developments around cloud computing, containerized databases, and automation of routine tasks.
By Michelle Malcher
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Discovering SQL: A Hands-On Guide for BeginnersUsing clear explanations, hands-on exercises, and helpful solutions, this book takes you on a voyage of discovery as you learn SQL basics and learn to work with data stored in a relational database.
By Alex Kriegel
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DITA Best Practices: A Roadmap for Writing, Editing, and Architecting in DITADrawing on years of experience helping large organizations adopt DITA, the authors of this text explain how to get started, what you should know up front, pitfalls of implementing DITA, and how to avoid those pitfalls.
By Jenifer Schlotfeldt, Laura Bellamy, Michelle Carey
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Dynamic Graph Learning for Dimension Reduction and Data ClusteringThis book illustrates how to achieve effective dimension reduction and data clustering. The authors explain how to accomplish this by utilizing the advanced dynamic graph learning technique in the era of big data.
By Jingjing Li, Lei Zhu, Zheng Zhang
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Effective Document and Data Management: Unlocking Corporate Content, Third EditionClarifying the distinction between information management, data management and knowledge management, this book illustrates the operational and strategic significance of how documents and data are captured, managed and utilized.
By Bob Wiggins
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Fundamental of Database Management SystemA single comprehensive guide for students, teachers and professionals, this practical-oriented book teaches the essentials of DBMS to anyone who wants to become an effective and independent DBMS master.
By Mukesh Negi
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Fundamentals of Database Management Systems, Second EditionOffering a highly focused and applied approach, this compact, practical introduction emphasizes fundamental database concepts and presents them in a clear, easy-to-understand way.
By Mark L. Gillenson
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Graph Databases in Action: Examples in GremlinProviding use cases involving social networking, recommendation engines, and personalization, this book introduces you to graph database concepts by comparing them with relational database constructs.
By Dave Bechberger, Josh Perryman
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Greenplum: Architecture and SQLDetailing the architecture of the Greenplum Data Warehouse and the SQL commands available, this must-read book educates readers on how to create tables and indexes, how the data is distributed, and how the system processes the data.
By Leona Coffing, Tom Coffing
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Handbook of Data Quality: Research and PracticePresenting specific techniques, methodologies and frameworks developed by the individual contributors, this book will provide an appreciation of the full scope and diversity of the data quality body of knowledge and will serve as a point of reference for anyone involved in this exciting and evolving area.
By Shazia Sadiq (ed)
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IBM DB2 Administration Guide: Installation, Upgrade and Configuration of IBM DB2 on RHEL 8, Windows 10 and IBM CloudThis book is intended for IT consultants, Solution Architects, System Developers, and Data Professionals with rudimentary technological knowledge. The book is also an excellent resource for banking and insurance experts creating database solutions for their companies.
By A S Bluck
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Implementing and Integrating Product Data Management and Software Configuration ManagementThis text shows how the integration of PDM and SCM can help organizations quickly and efficiently develop new products and efficiently maintain and update existing products.
By Annita Persson Dahlqvist, Ivica Crnkovic, Ulf Asklund
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Information Modeling and Relational Databases, Second EditionSupported by examples, exercises, and useful background information, this book will quickly make you proficient in the modeling technique that is proving vital to the development of accurate and efficient databases that best meet real business objectives.
By Terry Halpin
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Introduction to Database Management SystemIncluding a large number of well-defined figures to explain the concepts in a better way, this book presents an exhaustive and up-to-date exposition of database management system in an easy-to-understand manner.
By Aditya Mittal, Satinder Bal Gupta
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Introduction to DBMS: Designing and Implementing Databases from Scratch for Absolute BeginnersThis book is ideal for anyone who is interested in learning more about Database Management Systems, whether they are undergraduate students, new database developers, or with some expertise.
By Dr. Hariram Chavan, Prof. Sana Shaikh
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Learn FileMaker Pro 19: The Comprehensive Guide to Building Custom Databases, Second EditionMeticulously rewritten with clearer lessons, more real-world examples and updated to include feature changes introduced in recent versions, this book makes it easier to get started planning, building and deploying a custom database solution.
By Mark Conway Munro
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Learn SQL in a WeekendThis title will be removed from the Skillsoft library on May 24, 2024.
By Deanna Dicken
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Managing Data in Motion: Data Integration Best Practice Techniques and TechnologiesPresenting a vendor-neutral approach to moving data between computing environments and systems, this book provides the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment.
By April Reeve
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Math and Architectures of Deep LearningShine a spotlight into the deep learning "black box". This comprehensive and detailed guide reveals the mathematical and architectural concepts behind deep learning models, so you can customize, maintain, and explain them more effectively.
By Krishnendu Chaudhury
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Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment FrameworkIncluding common conceptual models for defining and storing of data quality results for purposes of trend analysis, this book will show you how to measure and monitor data quality, ensuring quality over time.
By Laura Sebastian-Coleman
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Meeting the Challenges of Data Quality ManagementMeeting the Challenges of Data Quality Management outlines the foundational concepts of data quality management and its challenges.
By Laura Sebastian-Coleman
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Modern Big Data Architectures: A Multi-Agent Systems PerspectiveWith practical examples and detailed solutions suitable for a wide variety of applications, this unique, up-to-date volume provides joint analysis of big data and multi-agent systems, with emphasis on distributed, intelligent processing of very large data sets.
By Dominik Ryżko
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Oracle Database 11g R2: PL/SQL Fundamentals II - Develop Program UnitsHelpful to application designers and developers, as well as database administrators, this Oracle 11g courseware training guide book will equip students to develop database server-side PL/SQL program units within an Oracle database.
By Sideris Courseware Corporation
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Oracle Database 11g R2: SQL Fundamentals IProviding an introduction to the PL/SQL database programming language, based upon the latest features available with the Oracle database, this book discusses syntax, structure and features of the language in the context of database applications and programming.
By Sideris Courseware Corporation
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Oracle Database 11g R2: SQL Fundamentals IIWhether you are an Oracle professional preparing for the certification exams, or you are already experienced in SQL and wish to become acquainted with the unique and advanced features of Oracle SQL, this course book will remain a valuable reference for years to come.
By Sideris Courseware Corporation
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Oracle SQL: A Beginner's TutorialBy providing exercises and examples of real world applications, this informative reference enables developers to master the skills necessary to perform intermediate tasks in SQL right away.
By Djoni Darmawikarta
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PolyBase Revealed: Data Virtualization with SQL Server, Hadoop, Apache Spark, and BeyondCovering data sources such as Apache Hadoop, Azure Blob Storage, Apache Spark, Cosmos DB, and more, this book will help you keep your skills current, remain relevant, and build new business and career opportunities around Microsoft's product direction.
By Kevin Feasel
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Practical CockroachDB: Building Fault-Tolerant Distributed SQL DatabasesThe book explains why CockroachDB exists, goes over its major benefits, and quickly transitions into installing and configuring CockroachDB.
By Rob Reid
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Practical Implementation of a Data Lake: Translating Customer Expectations into Tangible Technical GoalsThis book explains how to implement a data lake strategy, covering the technical and business challenges architects commonly face. It also illustrates how and why client requirements should drive architectural decisions.
By Nayanjyoti Paul
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Practical Neo4jProviding a working example of a Neo4j-based application using an array of language options, this book guides you through the background and basics of graph databases and gets you quickly up and running with Neo4j, the most prominent graph database on the market today.
By Greg Jordan
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Principles of Data Management: Facilitating Information Sharing, Third EditionThe book is aimed at all those involved with data management, including IT/IS and business managers, consultants, and business analysts, as well as data management practitioners from all business sectors.
By Keith Gordon
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RDF Database Systems: Triples Storage and SPARQL Query ProcessingDistilling everything you need to know to effectively use or design an RDF database, this cutting-edge book starts with the basics of linked open data and covers the most recent research, practice, and technologies to help you leverage semantic technology.
By Guillaume Blin, Olivier Curé
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Scalable Big Data Architecture: A Practitioner's Guide to Choosing Relevant Big Data ArchitectureCovering real-world, concrete industry use cases, this book is for developers, data architects, and data scientists looking for a better understanding of how to choose the most relevant pattern for a big data project and which tools to integrate into that pattern.
By Bahaaldine Azarmi
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SQL All-in-One Desk Reference for DummiesDelivering the goods on all major SQL topics, from basic concepts to the latest XML data-handling functions, this guide offers fast answers to your SQL questions and savvy tips on building databases that are robust, secure, and efficient.
By Allen G. Taylor
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SQL All-in-One for Dummies, Second EditionWhether you're new to SQL or an old hand who wants to supercharge your database, this fun and friendly guide takes SQL and all its related topics and breaks it down into easily digestible pieces.
By Allen G. Taylor
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SQL Bible, Second EditionCombining theory with everyday practicality, this definitive volume is packed with up-to-date information, new features, and explanations you need to get the very most out of SQL and its latest standard.
By Alex Kriegel, Boris M. Trukhnov
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SQL for Dummies, 8th EditionSQL is the language you use to create database management systems, implement database design, and manage data access. This fun and friendly guide takes you step-by-step through understanding and applying the latest version of SQL to help you take control of your data like a pro.
By Allen G. Taylor
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SQL for Dummies, 9th EditionCovering everything you need to know to make working with SQL easier than ever, this easy-to-understand guide shows programmers and web developers how to use SQL to build relational databases and get valuable information from them.
By Allen G. Taylor
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The Language of SQLThis title will be removed from the Skillsoft library on May 24, 2024.
By Larry Rockoff
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The Practitioner's Guide to Data Quality ImprovementOffering a comprehensive look at data quality for business and IT, encompassing people, process, and technology, this practical guide shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics.
By David Loshin
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Up and Running with ClickHouseThis book is intended for data engineers, application developers, database administrators and software architects who want to learn ClickHouse.
By Vijay Anand R
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Using MySQLLearn how to install and administer MySQL. Tips for developing MySQL database applications using Perl, Python, PHP, Java, and C API, is also covered.
By
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ABAP 7.5 Certification Guide: Development Associate ExamMake the grade with this guide to the SAP Certified Development Associate exam for ABAP 7.5.
By David Haslam, Puneet Asthana
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ABAP Development for SAP HANAThis step-by-step developer's guide has everything you need to build SAP HANA-optimized ABAP applications.
By Mohd Mohsin Ahmed, Sumit Dipak Naik
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ABAP Development for SAP S/4HANA: ABAP Programming Model for SAP FioriProviding step-by-step instructions, this practical book will help you master the end-to-end development process for SAP S/4HANA applications using the new ABAP programming model.
By Bince Mathew, Stefan Haas
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ABAP in the Cloud: Development and Operations with SAP BTP, ABAP EnvironmentSAP BTP, ABAP environment (formerly SAP Cloud Platform, ABAP environment) requires specialized knowledge of language limits and development environment-let this book be your guide!
By Aayush Dhawan, Aleksander Debelic, Gairik Acharya, Shubhangi Deshmukh
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ABAP RESTful Application Programming Model: The Comprehensive GuideYou've worked with ABAP, SAP Fiori, and core data services-now see how these technologies and more come together in the ABAP RESTful application programming model. Learn to develop applications optimized for SAP S/4HANA, whether your system is on-premise or in the cloud.
By Lutz Baumbusch, Matthias Jäger, Michael Lensch
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ABAP: An Introduction, 2nd Edition 2020With guided examples, step-by-step instructions, and detailed code, you'll become an ABAP developer in no time with this practical beginner's book.
By Brian O'Neill, Jelena Perfiljeva
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Accelerated SQL Server 2008Taking an expert approach to rapid learning, this text will enable SQL Server and other database professionals to make the leap to the latest release of Microsoft's flagship database management system quickly.
By Robert E. Walters, et al.
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Account Determination in SAP S/4HANA: Business Processes and ConfigurationReady to streamline your SAP S/4HANA Finance system? Learn how to determine accounts for your core business areas, including materials management, sales and distribution, accounts receivable and payable, cash and banking, and fixed assets. Follow step-by-step instructions to configure automatic account determination for each process in your system. Your journey to simplified accounting starts here!
By Abdullah Galal, Jonas Tritschler
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Actual Costing with the SAP Material Ledger, 2nd Edition 2015Using a practical approach, helpful steps, and detailed case studies, this book will teach you how to set up and configure the Material Ledger for several scenarios, use its different functions, and much more.
By Vanda Reis
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Advanced SQL Functions in Oracle 10gDesigned to exploit Oracle 10g's SQL, this book is a comprehensive look at Oracle 10g's analytical functions, MODEL statements, and regular expressions.
By Richard Walsh Earp, Sikha Saha Bagui
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Advanced SQL with SASThis book introduces advanced techniques for using PROC SQL in SAS. If you are a SAS programmer, analyst, or student who has mastered the basics of working with SQL, Advanced SQL with SAS(R) will help take your skills to the next level.
By Christian Fg Schendera
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Advanced Transact-SQL for SQL Server 2000Tips, tricks, and suggestions for writing more powerful SQL applications, complete with hundreds of full code samples.
By Itzik Ben-Gan, Tom Moreau, Ph.D.
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Advanced Variant Configuration with SAP S/4HANAUse SAP S/4HANA for advanced variant configuration to meet the individual requirements of your customers! Perform product modeling, from creating a configurable material and managing master data to setting up object dependencies, variant pricing, and material variants.
By Andreas Kölbl, Marin Ukalovic, Michael Neuhaus, Uwe Blumöhr
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Agile Oracle Application ExpressHelping you to meet cost, schedule, and quality targets, this authoritative guide shows how skilled, motivated, and self-organizing developers can realize extraordinary commercial benefits from Oracle Application Express.
By Karen Cannell, Patrick Cimolini
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Analytic SQL in SQL Server 2014/2016Business Intelligence (BI) has emerged as a field which seeks to support managers in decision-making.
By Riadh Ghlala
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Analytics Optimization with Columnstore Indexes in Microsoft SQL Server: Optimizing OLAP WorkloadsThe book provides a complete walk through of columnstore indexing that encompasses an introduction, best practices, hands-on demonstrations, explanations of common mistakes, and presents a detailed architecture that is suitable for professionals of all skill levels.
By Edward Pollack
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Application Development with SAP Business Technology PlatformDevelop cloud applications customized for your business needs! Master the basics of SAP Business Technology Platform (SAP BTP) and its development environments; then get step-by-step instructions for developing and operating your own applications.
By Anup Ghosh, Asidhara Lahiri, Avijit Dhar, Gairik Acharya, Govind Bajaj
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Architecting EDI for SAP S/4HANA NEW!Juggling multiple partners and clients? Streamline your business communications with this guide to electronic data interchange (EDI) in SAP S/4HANA! Begin with an overview of EDI processing and how it works. Next, follow step-by-step instructions for configuring and managing EDIs in your SAP S/4HANA landscape.
By Agasthuri Doss, Marek Piaseczny
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Archiving SAP Data-Practical GuideIn the face of large data accumulation, data archiving plays a vital role in maintaining SAP system performance while adhering to legal requirements. Strategize and execute your SAP data archiving plan with this guide.
By Ahmet Türk
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Asset Accounting with SAP S/4HANAAsset accounting setup is mandatory in SAP S/4HANA, so get the details you need to get it up and running with this comprehensive book.
By Stoil Jotev
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Auditing SAP S/4HANAPerforming or preparing for an SAP S/4HANA audit? This is the comprehensive guide you need! Understand what goes into an audit, from the objectives and timing to the reporting process.
By Steve Biskie
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Authorizations in SAP S/4HANA and SAP FioriDevelop a complete authorization concept for SAP S/4HANA and SAP Fiori with this guide! Start by understanding how authorizations work in an ABAP system and exploring the main transactions you'll use for configuration.
By Alessandro Banzer, Alexander Sambill
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Automatic Payment Program in SAP Accounts Payable: Running and TroubleshootingStreamline your payment process in SAP Accounts Payable (FI-AP) with this guide to the Automatic Payment Program (APP).
By Oona Flanagan
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Beginning Apache Cassandra DevelopmentIntroducing you to one of the most robust and best-performing NoSQL database platforms on the planet, this guide will help you use Apache Cassandra to create applications that generate search results quickly, stand up to high levels of demand, scale as your user base grows, ensure operational simplicity, and-not least-provide delightful user experiences.
By Vivek Mishra
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Beginning Backup and Restore for SQL Server: Data Loss Management and Prevention TechniquesUsing a tutorial method of teaching, this essential guide explores the many facets behind the principles of backing up and restoring data from your database, and then shows practical application methods for getting the work done quickly and correctly.
By Bradley Beard
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Beginning CouchDBFilled with many code examples and listings, as well as screenshots where relevant, this non-intimidating guide will enable you to write your own applications for CouchDB quickly and easily.
By Joe Lennon
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Beginning Microsoft SQL Server 2008 AdministrationWith features and techniques illustrated with real-world examples and step-by-step instructions, this book shows both novice and experienced database administrators how to leverage all of the features of SQL Server to deliver solid, reliable performance.
By Albert Boettger, Chris Leiter, Dan Wood, Michael Cierkowski
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Beginning Microsoft SQL Server 2012 ProgrammingDemystifying even the most difficult challenges you may face with the new version of Microsoft SQL Server, this comprehensive resource presents the fundamentals of database design and SQL concepts, and then shows you how to apply these concepts using the updated SQL Server.
By Paul Atkinson, Robert Vieira
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Beginning MySQLUsing a task-oriented approach along with numerous helpful examples, this hands-on resource offers a complete look at MySQL and explains how to implement and access MySQL with various programming languages.
By Geoff Moes, Robert Sheldon
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Beginning Neo4jWith example data models, best practices, and an application putting everything together, this thorough book will give you everything you need to really get started with Neo4j.
By Chris Kemper
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Beginning Oracle Application ExpressStructured to give readers a gradual introduction to the essentials of development with Oracle Application Express, this book will provide a strong understanding of Oracle APEX and the world of Oracle technology, which will enable you to build your own applications and create further refinements that meet your reporting needs.
By Rick Greenwald
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Beginning Oracle Application Express 5Introducing the processes and best practices you'll need to become proficient with APEX, this book shows off the programming environment, the utilities and tools available, and then continues by walking through the process of building a working system from the ground up.
By Doug Gault
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Beginning Oracle Database 11g Administration: From Novice to ProfessionalFeaturing not only technical information, but also guidance on work practices that are as vital to your success as technical skills, this book shows you how to become a much better Oracle database administrator than you ever thought possible.
By Iggy Fernandez
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Beginning Oracle Database 12c Administration: From Novice to Professional, Second EditionYour entry point into a successful and satisfying career as an Oracle Database Administrator, this thorough guide will provide you not only technical information, but also guidance on work practices that are as vital to your success as are your technical skills.
By Ignatius Fernandez
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Beginning Oracle PL/SQL, Second EditionGetting you started in using the built-in language that every Oracle developer and database administrator must know, this fast-paced and example-filled tutorial covers all the key features of PL/SQL without wasting your time discussing esoteric and obsolete parts of the language.
By Donald J. Bales
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Beginning Oracle SQL for Oracle Database 18c: From Novice to ProfessionalWith the content divided into easily digestible chunks that can be read and practiced in very short intervals of time, this book is a one-stop introduction to everything you need to know about getting started developing an Oracle Database.
By Ben Brumm
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Beginning Oracle SQL: For Oracle Database 12c, Third EditionOffering an introduction to the interactive query tools and specific dialect of SQL used with Oracle Database, this easy-going, example-based guide will get you started down the path to successfully writing SQL statements and getting results from Oracle Database.
By Inger Jørgensen, Lex de Haan, Melanie Caffrey, Tim Gorman
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Beginning Oracle WebCenter Portal 12c: Build next-generation enterprise portals with Oracle WebCenter PortalCovering all functionalities and aspects from a developer, architect, and administrator point of view, this book will teach you how to develop enterprise portals with Oracle WebCenter Portal 12c software and enrich those applications with social computing services.
By Daniel Merchán García, Vinay Kumar
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Beginning PHP 5 and PostgreSQL 8: From Novice to ProfessionalAn ideal read for a web designer, programmer, hobbyist, or novice who wants to create applications with PHP 5 and PostgreSQL 8, this book delves into open source web development technologies, the PostgreSQL 8 database server and PHP 5 scripting language.
By Robert H. Treat, W. Jason Gilmore
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Beginning PHP and MySQL 5: From Novice to Professional, Second EditionPacked with practical examples and insight into real-world challenges, this book covers PHP 5, MySQL 5, and how these two popular open source technologies work together to create powerful websites.
By W. Jason Gilmore
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Beginning PHP and MySQL: From Novice to Professional, Fifth EditionPacked with practical examples and insight into the real-world challenges faced by developers, this detailed and thorough guide teaches how to effectively integrate PHP and MySQL in order to build robust data-driven applications.
By Frank M. Kromann
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Beginning PHP, Apache, MySQL Web DevelopmentThis book takes you step by step through understanding Apache, PHP, and MySQL, as well as using and combining them on both Linux and Windows servers and building different types of Web sites.
By Elizabeth Naramore, Michael K. Glass, Yann Le Scouarnec, et al.
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Beginning PostgreSQL on the Cloud: Simplifying Database as a Service on Cloud PlatformsIncluding tips on securing and encrypting your cloud data, this book will get you started with PostgreSQL on the cloud and teach you the advantages, disadvantages, and limitations of the cloud services from Amazon, Rackspace, Google, and Azure.
By Avinash Vallarapu, Baji Shaik
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Beginning SQL Server 2005 ProgrammingA useful guide for the novice as well as the advanced SQL Server user, this developer-oriented text explores the foundation objects of SQL, and explains various user-defined functions and triggers, different peripheral features, and much more.
By Robert Vieira
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Beginning SQL Server 2008 AdministrationFrom college students, to experienced database administrators from other platforms, to those already familiar with SQL Server and wanting to fill in some gaps of knowledge, this book will bring all readers up to speed on Microsoft SQL Server 2008.
By Carmen Taglienti, Grant Fritchey, Robert E. Walters
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Beginning SQL Server 2012 AdministrationCovering the latest trends such as virtualization and cloud computing, this authoritative guide quickly provides the essentials of SQL Server administration, laying a foundation for success in a career as an SQL Server database administrator.
By Grant Fritchey, Rob Walters
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Beginning SQL Server R Services: Analytics for Data ScientistsProviding practical examples with detailed explanations of the WHY and not just the HOW, this book walks even the newest of users through the creation process of a powerful R-language tool set for use in analyzing and reporting on your data.
By Bradley Beard
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Beginning SQL Server Reporting ServicesDesigned to turn novices into skilled report developers, this book explains how to set up the development environment, then walks you through creating your first reports using the built-in wizard.
By Kathi Kellenberger
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Beginning T-SQL with Microsoft SQL Server 2005 and 2008For readers who have not yet programmed with Transact-SQL, this book will help build a solid foundation of understanding, from core relational database concepts to reinforccing those concepts with real-world T-SQL query applications.
By Dan Wood, Paul Turley
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Beginning T-SQL, Third EditionPresenting a performance-oriented introduction to the T-SQL language underlying the Microsoft SQL Server database engine, this book starts you on the path to mastering T-SQL, with an emphasis on best-practices and sound coding techniques leading to excellent performance.
By Kathi Kellenberger, Scott Shaw
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Beginning T-SQL: A Step-by-Step Approach, Fourth EditionProviding exercises to help you remember the syntax and practice problem solving, this book provides a performance-oriented introduction to the T-SQL language underlying the Microsoft SQL Server and Azure SQL database engines.
By Kathi Kellenberger, Lee Everest
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Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and GraphWithout technical or marketing jargon, this practical guide will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions.
By David Loshin
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Big Data Made Easy: A Working Guide to the Complete Hadoop ToolsetApproaching the problem of managing massive data sets from a systems perspective, this book explains the roles for each project (like architect and tester, for example) and shows how the Hadoop toolset can be used at each system stage - and then explains, in an easily understood manner and through numerous examples, how to use each tool.
By Michael Frampton
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Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and KafkaExplaining each of the full-stack technologies and, more importantly, how to best integrate them, this book provides detailed coverage of the practical benefits of these technologies and incorporates real-world examples in every situation.
By Isaac Ruiz, Raul Estrada
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BRFplus Output Type Management in SAP S/4HANATransaction NACE is no more. Get to know the new output type management process in SAP S/4HANA! In this book, learn to configure output types with BRFplus using detailed walkthroughs and step-by-step instructions.
By Krzysztof Łuka, Michal Krawczyk, Michal Michalski
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Building Bioinformatics Solutions: With Perl, R and MySQLProviding a comprehensive introduction to the methodology and core tools needed to tackle bioinformatics problems, this book explains how to acquire and use the most popular development tools, how to apply them to build processing pipelines, and how to make the results available for deployment..
By Conrad Bessant, Darren Oakley, Ian Shadforth
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Building Custom Tasks for SQL Server Integration ServicesWritten by a well-known thought leader on SQL Server Integration Services, this book teaches you to build custom SSIS tasks with free tools from Microsoft, and provides a pattern and working example upon which you can build whatever feature set you require.
By Andy Leonard
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Building Custom Tasks for SQL Server Integration Services: The Power of .NET for ETL for SQL Server 2019 and Beyond, Second Edition`Written by a well-known thought leader on SQL Server Integration Services, this book teaches you to build custom SSIS tasks with free tools from Microsoft, and provides a pattern and working example upon which you can build whatever feature set you require.
By Andy Leonard
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Building Performance Dashboards and Balanced Scorecards with SQL Server Reporting ServicesUtilizing helpful examples, this book sets itself apart from other titles with its comprehensive and invaluable coverage of key strategies and techniques for effectively using SQL Reporting Services to create scorecards and dashboards.
By Adam Jorgensen, Christopher Price, Devin Knight
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Building REST APIs with Flask: Create Python Web Services with MySQLProviding a primer on Flask, RESTful services, and working with pip to set up your virtual environment, this book presents best practices for creating REST APIs and guides you in structuring your app and testing REST endpoints.
By Kunal Relan
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Building the Snowflake Data Cloud: Monetizing and Democratizing Your DataThe book helps you succeed by delivering faster than you can deliver with legacy products and techniques. You will learn how to leverage what you already know, and what you don't, all applied in a Snowflake Data Cloud context.
By Andrew Carruthers
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Business as Unusual with SAP: How Leaders Navigate Industry MegatrendsIn this new book, executives Thomas Saueressig and Peter Maier explore the intersections of global business and dynamic market conditions.
By Peter Maier, Thomas Saueressig
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Business Partners in SAP S/4HANAThe distinction between "customers" and "vendors" is now a relic of the past-jump into the future with this all-in-one guide to 'business partners' in SAP S/4HANA! Learn how to set up business partners from start to finish for greenfield implementations.
By Jawad Akhtar
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Business Planning and Consolidation with SAP: Business User GuideExplaining how to handle tricky financials planning, forecasting, and budgeting with SAP Business Planning and Consolidation, this book offers step-by-step instructions that will guide you through completing daily SAP BPC tasks.
By Onur Bekmezci
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CAP Theorem and Its Implications on NoSQL DatabasesAuthored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This Knowledge Sharing article aims to demystify the CAP Theorem and help practitioners understand the mechanisms supported/implemented by NoSQL databases with respect to CAP properties and evaluate the associated tradeoffs.
By Bharath Krishnappa, Ravi Sharda
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Cash Management with SAP S/4HANA, 2nd Edition 2021Managing your cash is critical--so master cash management in SAP S/4HANA! Follow step-by-step instructions to run bank account management, cash positioning and operations, and liquidity management, and then tailor each process to your system.
By Dirk Neumann, Lawrence Liang
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Clean ABAP: A Style Guide for DevelopersABAP developers, are you looking to clean up your code? Then read this official companion to the Clean ABAP GitHub repository. This book is brimming with best practices, straight from the experts, to help you write effective ABAP code.
By Klaus Haeuptle, et al.
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Clean SAPUI5: A Style Guide for DevelopersSAPUI5 code needs to be easy to read and easy to update. Clean up your code with this guide from the experts! Learn how to leverage JavaScript features to write better SAPUI5 code.
By Arnaud Buchholz, Christian Lehmann, Daniel Bertolozi, Klaus Haeuptle, Narendran Natarajan Vaithianathan, Rodrigo Jordão
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Cloud Computing Using Oracle Application ExpressExplaining how to develop cloud-based applications rapidly, this accessible guide will teach you how to create a complete general ledger accounting system which will be accessible through a variety of devices, including desktops, laptops, and the latest smartphones.
By Riaz Ahmed
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Cloud Connector for SAPEstablish quick and secure communication between your cloud and on-premise systems with SAP Connectivity service's cloud connector! Set up and configure the cloud connector, from performing sizing to implementing connectivity APIs.
By Martin Koch, Siegfried Zeilinger
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Complete ABAP, 3rd Updated Edition, 2022Get everything you need to code with ABAP, all in one place! Are you a beginner looking for a refresher on the basics? You'll get an overview of SAP architecture and learn syntax.
By Kiran Bandari
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Concur: Travel and Expense Management with SAPNew York. Tokyo. Dubai. If your business is on the go, learn how to get the most out of Concur Travel, Concur Expense, and Concur Request!
By Andy Wittmann, Hannah Smith, Sven Ringling
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Configuring Batch Management in SAP S/4HANAManaging your batch records is a key part of manufacturing, distribution, and sales. With this book, learn how to configure batch management in SAP S/4HANA.
By Ashish Mohapatra
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Configuring Controlling in SAP ERPExplaining how to configure SAP ERP Controlling to reflect your organization's unique processes, this book provides step-by-step instructions for managing master data, planning, reporting, and actual postings for Cost Element Accounting, and much more.
By Kathrin Schmalzing
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Configuring Dispute Management with SAPGet the tools you need to set up Dispute Management with this book.
By Marjorie Wright
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Configuring Financial Accounting in SAP ERPThis is your comprehensive guide to configuring Financial Accounting in SAP ERP.
By Narayanan Veeriah
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Configuring Plant Maintenance in SAP S/4HANAWhether you know it as plant maintenance or asset management, this is the only guide you need to set it up in SAP S/4HANA!
By Karl Liebstückel
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Configuring Sales and Distribution in SAP ERP, 2nd Edition 2016Attention, SAP ERP Sales and Distribution consultants and super users: Tailor your SD project to meet unique sales requirements with this easy-to-follow configuration guide.
By Ashish Mohapatra, Ricardo Lopez
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Configuring Sales in SAP S/4HANA, Second EditionThis book has all the expert guidance you need! Start with the organizational structure and master data, including customer-vendor integration.
By Christian van Helfteren
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Configuring SAP Fiori LaunchpadGet the SAP Fiori launchpad up and running! Configure the SAP Fiori launchpad for key on-premise systems: SAP S/4HANA, SAP Business Suite, and SAP Enterprise Portal.
By Claus Burgaard, Setu Saxena
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Controlling with SAP ERP: Business User Guide, 3rd Edition, Updated for EHP 8Your to-do list just got easier! With this guide for Controlling business users, learn how to manage master data, create budgets and investment plans, conduct actual postings, and execute a period close more efficiently.
By Janet Salmon
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Controlling with SAP S/4HANA: Business User GuideSAP S/4HANA brings change to your routine controlling activities. Perform your key tasks in the new environment with this user guide!
By Janet Salmon, Stefan Walz
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Controlling with SAP: 100 Things You Should Know About, 2nd Edition 2015Unlocking the secrets of an SAP Controlling guru for use by everyone, this book provides users and super-users with 100 tips and workarounds you can use to increase productivity, save time, and improve the ease-of-use for your SAP system.
By John Jordan
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Core Data Services for ABAP Second EditionThis book will help you to develop models for analytical and transactional applications, work with the SAP S/4HANA virtual data model, and get to know the ABAP RESTful application programming model.
By Jan Hrastnik, Ralf Dentzer, Renzo Colle
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Core Data Services for ABAP, 3rd Edition 2024, Updated and RevisedThis book is your all-in-one guide, updated for SAP S/4HANA 2023! Start by learning to create and edit CDS views.
By Jan Hrastnik, Ralf Dentzer, Renzo Colle
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Cosmos DB for MongoDB Developers: Migrating to Azure Cosmos DB and Using the MongoDB APIFor MongoDB developers who wish to learn Azure Cosmos DB, this book will guide you in identifying the why's and how's that you can employ in your applications and help you in achieving extraordinary success.
By Manish Sharma
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Cost Flows in SAP S/4HANA Finance: Allocations and SettlementsLearn about cost flow fundamentals and discover what's new for allocation in SAP S/4HANA! Follow step-by-step instructions to handle cost flows for overhead management, margin analysis, profit center accounting, intercompany scenarios, and more.
By Janet Salmon
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Cost-Based Oracle FundamentalsDescribing the most commonly used parts of the model, what the optimizer does with your statistics, and why things go wrong, this book will enable you to fix entire problem areas by adjusting the model or creating more truthful statistics.
By Jonathan Lewis
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Customizing SAP S/4HANA with SAP Cloud Platform: Designing a Future-Ready Enterprise ArchitectureBuild a flexible and sustainable environment for SAP S/4HANA development with this guide to SAP Cloud Platform services!
By Paresh Mishra, Vipin Varappurath
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Data Analysis Using SQL and Excel, Second EditionWritten by a leading expert on business data mining, this no-nonsense guide shows you how to design and perform sophisticated data analysis using SQL and Excel and covers the newest enhancements to SQL and Excel, including new techniques and real-world examples.
By Gordon S. Linoff
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Data Integration for SAP IBPYou've got SAP IBP-learn how to integrate your SAP and non-SAP data with your SAP IBP system! Choose the right tools for the job and set up those tools for bi-directional integration with step-by-step instructions.
By Ujwalkumar Jetagi, Venugopal Kelkar
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Data Integration Life Cycle Management with SSIS: A Short Introduction by ExampleShowing you how to bring DevOps benefits to SSIS integration projects, this authoritative book presents practices that will enable faster time to market, higher quality of code, and repeatable automation.
By Andy Leonard
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Data Migration with SAP, 3rd Edition 2016When it comes to data migration, choosing the right approach for your organization can be overwhelming. This comprehensive guide leads you through project planning, and gives you step-by-step instructions for executing your migration with LSMW, SAP Data Services, and more.
By Frank Densborn, et al.
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Data Mining and Statistical Analysis Using SQLThis book is aimed at DBAs who want to use SQL to bolster their understanding of statistics to support data mining and customer relationship management analytics.
By John N. Lovett, Jr., Robert P. Trueblood
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Data Mining with Microsoft SQL Server 2008Introducing the tools, techniques, and concepts necessary to leverage SQL Server 2008 data mining, this authoritative resource offers practical guidance on how to deploy and use SQL Server data mining for yourself.
By Bogdan Crivat, Jamie MacLennan, ZhaoHui Tang
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Data Modeling for SAP HANA 2.0Find meaning in your business data. Build, manage, and secure calculation views and table functions with the SAP Web IDE for SAP HANA.
By Anil Bavaraju
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Data Provisioning and Cleansing with SAP HANA SDI and SAP HANA SDQSAP HANA is nothing without good data. In this book, learn how to use SAP HANA EIM (enterprise information management) functionalities to load and cleanse data.
By Cheri Mallory, James Hanck, Paul Médaille
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Database Cloud Storage: The Essential Guide to Oracle Automatic Storage ManagementFilled with detailed examples and best practices, this Oracle Press guide explains how to set up a complete cloud-based storage system using Oracle Automatic Storage Management to monitor your system, maximize throughput, and ensure consistency across servers and clusters.
By Nitin Vengurlekar, Prasad Bagal
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Database Tuning: Principles, Experiments, and Troubleshooting TechniquesLearn to improve transferable skills that will facilitate in tuning many database systems on numerous hardware and operating systems.
By Dennis Shasha, Philippe Bonnet
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Database-Driven Web Development: Learn to Operate at a Professional Level with PERL and MySQLLearn to operate at a professional level with HTML, CSS, DOM, JavaScript, PERL and the MySQL database. With plain language explanations and step-by-step examples, you will understand the key facets of web development that today's employers are looking for.
By Thomas Valentine
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Database-Driven Web Development: Learn to Operate at a Professional Level with PERL and MySQL, 2nd EditionThis book will teach you the essential knowledge required to be a successful and productive web developer with the ability to produce cutting-edge websites utilizing a database.
By Thomas Valentine
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DBA Essentials for 21c: Installing Oracle Database 21c on OCI ComputeThis book is designed for aspiring database administrators, system administrators, IT professionals, developers, and technology enthusiasts, curious about the inner workings of this powerful data management system.
By Divit Gupta
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Defining Your SAP S/4HANA Implementation ApproachBrownfield, greenfield, hybrid, or landscape transformation? If you're debating the best approach for your SAP S/4HANA implementation, this book is for you!
By Kirti N. Bhardwaj
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Demand and Supply Planning with SAP APO, 2nd Edition 2016A blend of big-picture descriptions and step-by-step instructions, this book covers everything from configuring SAP APO to using it for interactive, characteristic-based, and collaborative planning.
By Sandeep Pradhan
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Demand Planning with SAP IBPTo improve profitability, you need to plan ahead. With this comprehensive guide to SAP IBP for demand, you'll learn how to predict demand for your products.
By Venkadesh Seetharaman
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Design And Architecture Of Oracle RAC/ASM Clustered SolutionAuthored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article explores a scale out, building block approach for a multi-cluster Storage Grid architecture utilizing VNX with an Oracle RAC (Real Application Clusters) data warehouse solution.
By Armando Rodriguez
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Design Patterns in ABAP ObjectsUse design patterns to step up your object-oriented ABAP game, starting with MVC. With this guide, you'll get practical examples for every design pattern that will have you writing readable, flexible, and reusable code in no time.
By Kerem Koseoglu
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Design Thinking with SAPTeaching you how to approach design systematically in your SAP setup with design thinking, this book walks you through complete workshops to learn, step-by-step, how to use design thinking to develop SAP applications and facilitate business innovation.
By Anne Johnson
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Designing Testable ABAP Classes and PackagesYou'll learn how to identify existing problems, encapsulate and decouple different types of classes and packages, and build test cases to ensure that everything works as expected.
By Winfried Schwarzmann
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Developing Applications with the SAP Cloud Application Programming ModelLearn how to develop custom apps and extensions with the SAP Cloud Application Programming Model! Get started with technical concepts such as CDS and commands, then develop full-stack Java and Node.js apps in the Cloud Foundry environment.
By Raja Gupta
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Developing Groovy Scripts for SAP Cloud Platform IntegrationCreate custom integration patterns for SAP Cloud Platform Integration with Groovy!
By Eng Swee Yeoh, Vadim Klimov
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Developing Oracle Applications Using TOADLearn how to use TOAD to work with the Oracle database. Features such as hot keys, auto-correct, type-ahead, syntax highlighting, version control and more are covered.
By
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Developing Secure Cloud Applications with SAP BTPLearn to set up user authentication and authorization control in your apps. Address cloud application security weaknesses like broken access control, sensitive data exposure, cross-site scripting, and more.
By Gary Prewett, Nathan Williams
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Developing WRICEF Objects for SAP S/4HANA CloudLearn how to create WRICEF objects for your SAP S/4HANA Cloud implementation. Whether you need workflows, reports, interfaces, conversions, enhancements, forms, or all of the above, this book has your customization options covered.
By Gairik Acharya
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DevOps with SAPDiscover what DevOps can do to improve your SAP development pipeline! Learn exactly what DevOps is and what tools it provides for version control, coding, test automation, deployment, and monitoring.
By Raja Gupta, Sandip Jha
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Digital Process Automation with SAP Workflow ManagementUse automation to increase efficiency and agility with the latest in business process management (BPM)! In this book, learn how SAP Workflow Management helps you digitize, model, and execute workflows.
By Venugopal Chembrakalathil, Vipin Varappurath
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Document Management with SAP S/4HANAWell-kept records are the key to success, so learn how to maintain yours with Document Management System! Get step-by-step instructions for implementing and configuring DMS in SAP S/4HANA, from using SAP Activate to defining master data.
By Jawad Akhtar
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DuckDB in ActionDive into DuckDB and start processing gigabytes of data with ease-all with no data warehouse.
By Mark Needham, Michael Hunger, Michael Simons
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Dynamic Oracle Performance Analytics: Using Normalized Metrics to Improve Database SpeedPresenting a dynamic process that overcomes the limitations of older tuning approaches, this book will show you how to use an innovative approach that relies on big data and advanced analytical techniques to analyze and improve Oracle Database performance.
By Roger Cornejo
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Dynamic SQL: Applications, Performance, and SecurityProviding an introduction and a deep-dive into the many uses of dynamic SQL in Microsoft SQL Server, this book helps you identify when dynamic SQL can offer superior performance, and focuses attention to security and best practices to ensure safety of your data.
By Ed Pollack
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Dynamic SQL: Applications, Performance, and Security in Microsoft SQL Server, Second EditionWith a focus on new applications and modern database architecture, this book illustrates that dynamic SQL continues to evolve and be a valuable tool for administration, performance optimization, and analytics.
By Edward Pollack
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Effective MySQL: Backup & RecoveryFeaturing a side-by-side evaluation of the various backup strategies and complementary recovery implementations, this Oracle Press book helps you to protect your MySQL data from a wide range of disaster situations.
By Ronald Bradford
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Effective MySQL: Optimizing SQL StatementsFeaturing a step-by-step approach to SQL optimization, as well as detailed explanations and practical examples that can be applied immediately to improve database and application performances, this Oracle Press book helps you to analyze and tune problematic SQL statements.
By Ronald Bradford
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Effective MySQL: Replication Techniques in DepthProviding an evaluation of various new replication features and additional third-party product implementations, this Oracle Press guide helps to ensure your MySQL environment can support the various high-availability needs of your business.
By Chris Schneider, Ronald Bradford
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Essential PostgreSQL: Your Guide to Database Design, Query Optimization, and Administration NEW!This book provides a thorough introduction to PostgreSQL, covering the fundamentals of database creation and management to advanced topics like data modeling, query optimization, and performance tuning. Explore PostgreSQL's powerful features, including multi-version concurrency control (MVCC), data types, constraints, and indexing. Learn how to install, configure, and apply PostgreSQL in real-world scenarios. You will also develop essential SQL skills to manipulate and analyze data, design efficient schemas with normalization, and use stored procedures and triggers to automate tasks effectively.
By Swati Saxena
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Event-Driven Architecture with SAPIn this Book you will explore the SAP Business Technology Platform services, such as SAP Event Mesh, which support event-driven architecture.
By Karsten Strothmann, Martin Bachmann
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EWM with SAP S/4HANA: Architecture and Programming, 2nd Edition, Updated and Revised Edition 2023Your warehouse is unique, so your system must be too! Explore your options for extending and customizing both embedded and decentralized EWM in SAP S/4HANA.
By Daniela Schapler, Karen Schulze, Peter Zoellner, Robert Halm
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Expert Apache Cassandra AdministrationCassandra is increasingly a key player in many big data environments, and this book shows you how to use Cassandra with Apache Spark, a popular big data processing framework.
By Sam R. Alapati
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Expert Consolidation in Oracle Database 12cFocusing on Oracle Enterprise Manager 12c Cloud Control as a monitoring and management dashboard, this book guides you through planning and implementing a consolidated Oracle Database installation using the many new features built into the latest release of Oracle's database management system.
By Martin Bach
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Expert MySQL, Second EditionThe leading reference for learning, understanding, and extending the MySQL server, this practical, detailed guide unlocks the full promise of open source by showing how to modify the code, create your own storage engine, build your own authentication plugins, and much more.
By Charles Bell
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Expert Oracle Application ExpressPresenting best practices and development insights from leading experts in the field, this book will help you develop with Oracle's enterprise-level, rapid-development tool that can be deployed globally to users inside and outside a large enterprise.
By John Edward Scott, et al.
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Expert Oracle Application Express, Second EditionBringing deep insight from some of the best APEX practitioners in the field today, this book teaches readers about debugging and performance, deep secrets to customizing your application user interface, how to secure applications from intrusion, and about deploying globally in multiple languages.
By John Scott, et al.
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Expert Oracle Database 11g AdministrationClearly written in a way that is accessible to both intermediate and beginning administrators, this book covers all aspects of database administration including backup and recovery, day-to-day administration and monitoring, performance tuning, and more.
By Sam R. Alapati
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Expert Oracle Database Architecture, Third EditionA must-read book for those wishing to create efficient and scalable applications, this accessible resource brings you some of the best thinking on how to apply Oracle Database to produce scalable applications that perform well and deliver correct results.
By Darl Kuhn, Thomas Kyte
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Expert Oracle Enterprise Manager 12cFeaturing real-life scenarios and demonstrations to place you in the comfort zone of using the EM12c console, this book covers all the topics you demand and need to function effectively, from basic monitoring and configuration to advanced metric extensions and plugins.
By Kellyn Pot'vin, et al.
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Expert Oracle Exadata, Second EditionFully-updated to cover Exadata 5-2 and Oracle Database 12c, this invaluable resource opens up the internals of Oracle's Exadata platform so that you can fully benefit from the most performant and scalable database hardware appliance capable of running Oracle Database.
By Martin Bach, et al.
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Expert Oracle GoldenGateSharing their experience in the form of tutorials on designing and implementing all types of Oracle GoldenGate environments, the authors of this hands-on book will help you master all aspects of using and applying Oracle GoldenGate as the replication tool of choice in your environment.
By Ben Prusinski, Richard Chung, Steve Phillips
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Expert Oracle Indexing and Access Paths: Maximum Performance for Your Database, Second EditionExplaining how indexes help performance, and sometimes hinder it too, this concise book demystifies the various index choices so that you can choose rightly and describes the database administration chores associated with indexes.
By Bill Padfield, Darl Kuhn, Sam R. Alapati
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Expert Oracle JDBC Programming: High Performance Applications with Oracle 10gA must-read for any developer building an application that employs JDBC on Oracle database, this book focuses on writing high-performing, scalable and secure applications for Oracle 10g and 9I.
By R. M. Menon
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Expert Oracle PL/SQLPush your programming skills to the next level with the extensive information in this guide. Learn how to write dynamic PL/SQL programs, interface with Oracle databases, execute complex calculations, and handle error conditions using advanced techniques.
By Michael McLaughlin, Ron Hardman
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Expert Oracle Practices: Oracle Database Administration from the Oak TablePresenting an anthology of effective database management techniques from the OakTable Network, this book helps you deliver the most value for your company's investment in Oracle Database technologies.
By Melanie Caffrey
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Expert Oracle RAC 12cPacked with troubleshooting advice, this hands-on guide provides a deep understanding of RAC concepts and implementation details that you can apply toward your day-to-day operational practices.
By Kai Yu, Riyaj Shamsudeen, Syed Jaffar Hussain, Tariq Farooq
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Expert Oracle RAC Performance Diagnostics and TuningThoroughly covering each aspect of the tuning process, using many real-world examples, analyses, and solutions from the field that provides you with a solid, practical, and replicable approach to tuning a RAC environment, this book provides comprehensive coverage of the features, technology and principles for testing and tuning RAC databases.
By Murali Vallath
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Expert Oracle SQL: Optimization, Deployment, and StatisticsAssuming you have already identified a particular SQL statement and are considering taking steps to improve its performance, this Oracle-specific book describes a systematic process by which to diagnose a problem statement, identify a fix, and to implement that fix safely in a production system.
By Tony Hasler
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Expert Performance Indexing in SQL Server 2019: Toward Faster Results and Lower Maintenance, Third EditionTaking a deep dive into indexes, and how to best use them, this book presents a guided tour through a number of scenarios showing approaches you can take to investigate, mitigate, and improve the performance of your database.
By Jason Strate
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Expert PHP and MySQLSharing proven, author-tested best practices and expert techniques, this book will help you explore ways to extend MySQL with user-defined functions, write PHP extensions, and solve problems when PHP and MySQL alone are not enough.
By Andrew Curioso, Ronald Bradford
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Expert PL/SQL Practices: For Oracle Developers and DBAsA book of collected wisdom on PL/SQL programming from some of the best and the brightest in the field, this guide covers the functionality that distinguishes PL/SQL as a powerful and scalable programming language for deploying logic inside the database engine.
By John Beresniewicz, et al.
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Expert Scripting and Automation for SQL Server DBAsIncluding detailed discussion and numerous examples, this thorough guide shows you how to automate the SQL Server build processes, monitor multiple instances from a single location, and automate routine maintenance tasks throughout your environment.
By Peter A. Carter
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Expert SQL Server Transactions and Locking: Concurrency Internals for SQL Server PractitionersUnderstanding the internals surrounding SQL Server's Concurrency Model helps you build high-throughput systems in multi-user environments. This book guides you through the Concurrency Model and elaborates how SQL Server supports transactional consistency in the databases.
By Dmitri Korotkevitch
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Expert T-SQL Window Functions in SQL ServerProviding real-world examples that you can experiment with in your own database, this book teaches you how to use all the window functions introduced in 2005 and 2012, and explains how to get the best performance when using windowing functions.
By Clayton Groom, Kathi Kellenberger
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Expert T-SQL Window Functions in SQL Server 2019: The Hidden Secret to Fast Analytic and Reporting Queries, Second EditionProviding fun examples that you can experiment with in your own databases, this essential resource will make you an expert who can use window functions to solve T-SQL query problems.
By Clayton Groom, Ed Pollack, Kathi Kellenberger
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Exploring Oracle Primavera P6 Professional 18 for Planners and EngineersThrough practical examples, tutorials, and exercises, this book introduces readers to the practices and concepts of Project Management using Primavera software.
By Manash Chatterjee, Sham Tickoo
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Extended Warehouse Management with SAP S/4HANA Certification Guide: Application Associate ExamPreparing for your extended warehouse management (EWM) exam? Make the grade with this C_S4EWM certification study guide! From inbound and outbound processing to shipping and receiving, this guide will review the key technical and functional knowledge you need to pass the test.
By Basawaraj Patil, Neetu Ramireddi, Satish Komatlapalli
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Extending Oracle Application Express with Oracle Cloud Features: A Guide to Enhancing APEX Web Applications with Cloud-Native and Machine Learning TechnologiesThe book provides an in-depth look at Oracle Cloud features and demonstrates how they can be easily integrated into an APEX application.
By Adrian Png, Heli Helskyaho
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Extending SAP BPC Financial Planning with SAP Analytics CloudSAP BPC customers, it's time to go to the cloud! Extend your SAP BPC financial planning processes with SAP Analytics Cloud. Whether you're running standard or embedded SAP BPC, see how to perform each extension, step by step!
By Pravin Datar
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Extending SAP S/4HANA: Side-by-Side Extensions with the SAP S/4HANA Cloud SDKIn this comprehensive guide to side-by-side extensibility, you'll learn to build, secure, and maintain applications that extend the functional scope and reach of SAP S/4HANA.
By Akhil Agarwal, Henning Heitkötter, Johannes Wust, Philipp Herzig, Sander Wozniak
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Financial Accounting in SAP ERP: Business User GuideThis bestselling guide for business users shows you how to run Financial Accounting in SAP ERP.
By David Burns
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Financial Accounting with SAP S/4HANA: Business User GuideFinance professionals, it's time to simplify your day-to-day. This book walks through your financial accounting tasks, whether you're using SAP GUI transactions or SAP Fiori apps in your SAP S/4HANA system.
By Jonas Tritschler, Nertila Mucka, Reinhard Rupp, Stefan Walz
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Financial Reporting with SAP S/4HANAThis book is about key reporting requirements for finance and how to guide system design to produce the best reports for your company.
By Aylin Korkmaz
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Forecasting Oracle PerformanceFilled with examples to transform the theory, mathematics, and methods into something you can practically apply, this book focuses on the problem of forecasting the future performance of an Oracle database.
By Craig Shallahamer
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Full Stack Development with SAPYour guide to end-to-end SAP development is here! From the database to the user interface, you'll learn what it takes to create applications as a full stack developer.
By Daniel Krancz, Martin Koch, Maximilian Olzinger, Rene Glavanovits
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Funds Management for the Public Sector with SAP: Configuration and UseAt last, your all-in-one resource for funds management is here! Start with an overview of the funds management process and the SAP S/4HANA user interface.
By Eli Klovski
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Getting Started with SQL and Databases: Managing and Manipulating Data with SQLLearn the basics of writing SQL scripts. Using Standard SQL as the starting point, this book teaches writing SQL in various popular dialects, including PostgreSQL, MySQL/MariaDB, Microsoft SQL Server, Oracle, and SQLite.
By Mark Simon
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Group Reporting with SAP S/4HANAWith this guide to SAP S/4HANA Finance for group reporting, learn about the new group reporting architecture and data model. Configure your master data and integrate transactional data for consolidation using the Data Monitor.
By Azharuddin Mohammed, Eric Ryan, Satyendra Raghav, Thiagu Bala
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Hacking and Security: The Comprehensive Guide to Penetration Testing and CybersecurityUncover security vulnerabilities and harden your system against attacks! With this guide you'll learn to set up a virtual learning environment where you can test out hacking tools, from Kali Linux to hydra and Wireshark.
By André Zingsheim, Frank Neugebauer, Klaus Gebeshuber, Markus Widl, Matthias Wübbeling, Michael Kofler, Peter Kloep, Roland Aigner, Stefan Kania, Thomas Hackner, Tobias Scheible
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Hands On with SAP Build AppsExtend your SAP solutions with custom applications-no coding experience necessary! Learn how no-code application development works in SAP Build Apps (formerly known as SAP AppGyver), and then follow step-by-step instructions with different model use cases to build your own applications.
By Avijit Dhar
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Hands On with SAP Business Application StudioJump into development with SAP's latest IDE: SAP Business Application Studio! First walk through setup, from authorizations to extensions.
By Navya Mathur, Rajnish Tiwari
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Healthy SQL: A Comprehensive Guide to Healthy SQL Server PerformanceFilled with practical advice and a time-tested strategy, this book will help you put together a regimen that will ensure your servers are healthy, your implementation is fully optimized, your services are redundant and highly available, and you have a plan for business continuity in the event of a disaster.
By Robert Pearl
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High Performance Oracle: Proven Methods for Achieving Optimum Performance and AvailabilityFor every technical person looking to resolve Oracle8i and Oracle9i performance issues.
By Geoff Ingram
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High Performance SQL Server: Consistent Response for Mission-Critical Applications, Second EditionDesign and configure SQL Server instances and databases in support of high-throughput, mission-critical applications providing consistent response times in the face of variations in numbers of users and query volumes.
By Benjamin Nevarez
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High Performance SQL Server: The Go Faster BookCovering SQL Server instance-configuration for optimal performance, this book helps in implementing SQL Server in-memory technologies and provides guidance toward monitoring and ongoing diagnostics.
By Benjamin Nevarez
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HR Reporting with Stories in SAP SuccessFactors People AnalyticsCreate compelling visualizations with SAP SuccessFactors People Analytics! Follow click-by-click instructions to use stories to their full potential for HR reporting.
By Mike Hoekstra
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Implementing Machine Learning with SAP S/4HANAWith details on extensibility and related SAP Cloud Platform services, you'll find everything you need to make the most of machine learning with this practical guide.
By Raghu Banda, Siar Sarferaz
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Implementing SAP Business Planning and ConsolidationIs your SAP BPC implementation looming large? This book is your comprehensive guide to setting up standard and embedded SAP BPC.
By Charles Soper, Peter Jones
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Book
Implementing SAP Enterprise Threat DetectionStay ahead of cybersecurity vulnerabilities with SAP Enterprise Threat Detection. Learn to set up and use standard and nonstandard logs to analyze risks in your SAP environment.
By Gaurang Joshi, Glen Hoaglund, Mercedes Barrachina, Ryan Throop
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Book
Implementing SAP Fiori 3 SecurityIn this book, you'll learn how to implement security methods for your communication channels and set up single sign-on authentication.
By Neha Gulati, Shreya Gulati
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Book
Implementing SAP Global Trade Services, 2nd EditionDon t get tied up in global trade red tape! Navigate the complex web of regulations with this guide to implementing SAP Global Trade Services.
By Chris Halloran, Nick Moris, Pablo Lecour, Yannick Jacques
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Book
Implementing SAP Global Trade Services: Edition for SAP HANA, 3rd, Updated and Revised Edition 2024The new SAP GTS is here! Whether you're performing a greenfield implementation or migrating from legacy SAP GTS, get the edition for SAP HANA up and running.
By Li Yu, Nick Moris, Pablo Lecour
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Implementing SAP MII, 2nd, Updated and Revised Edition 2023Tap into bi-directional integration and analytics with SAP Manufacturing Integration and Intelligence. With this bestselling guide, get step-by-step instructions for configuring SAP MII, managing external data connections, developing composite applications, and more.
By Abesh Bhattacharjee, Chandan Jash, Dipankar Saha, Sudipta Mukherjee, Supriya Malakar
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Implementing SAP S/4HANA: A Framework for Planning and Executing SAP S/4HANA ProjectsGain a better understanding of implementing SAP S/4HANA-based digital transformations.
By Sanket Kulkarni
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Incident Management with SAP EHS ManagementWhen it comes to workplace safety it pays to be prepared. With this book, learn how to set up and use Incident Management in SAP EHS Management, to record, process, investigate, and close any incidents that arise.
By Manu Kohli
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Industry 4.0 with SAPThis forward-looking guide focuses on the practical implementation of Industry 4.0 concepts with SAP solutions! Reduce asset downtime using digital twins, automate quality checks using AI and machine learning, track your production with SAP Digital Manufacturing, and much more.
By Anupkumar Ketkale, Chandan Jash, Dipankar Saha, Soumya Das
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Book
Integrated TM and EWM in SAP S/4HANATap into next-level logistics execution in SAP S/4HANA! Discover how integrated TM and EWM improve inbound and outbound deliveries, transit warehousing, warehouse billing, and shipping and receiving.
By Mrinal K. Roy
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Book
Integrating EWM in SAP S/4HANAOptimize your warehousing by integrating EWM in SAP S/4HANA! Walk through step-by-step instructions to configure integration points between EWM and production planning, transportation, and quality management. Connect to and exchange data with different logistics processes, from yard management to plant maintenance. This complete integration guide has everything you need to set up cross-functional warehouse management!
By Shailesh Patil, Sudhakar Bandaru
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Book
Integrating Sales and Distribution in SAP S/4HANATo run sales and distribution smoothly in SAP S/4HANA, you need to manage integration points with other lines of business. Learn how to set them up with this guide to SD integration! Start by assessing the organizational structure and master data shared by sales and peripheral processes.
By Ankita Ghodmare, Kartik Dua, Saurabh Bobade
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Book
Integrating SAP Ariba with SAP S/4HANAThis all-in-one resource walks you through each step of the integration, from add-on installation and configuration to integration of transactional data from Ariba Network and the SAP Ariba applications. This is your one-stop shop for connecting SAP Ariba with SAP S/4HANA and SAP ERP.
By Divya Srivastava, Mohana Singh
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Book
Integrating SAP SuccessFactorsTransitioning to cloud HCM? With this guide, learn how to integrate SAP SuccessFactors into your HCM landscape.
By Donna Leong-Cohen, Rinky Karthik, Seng Ping Gan, Vishnu Kandi
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Book
Integrating Third-Party Logistics with SAP S/4HANALearn how to set up relevant master data, map warehousing in your system, exchange data through middleware, and more!
By Gautam Bhattacharya, Mehfuze Ali Molla
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Book
Interface Monitoring and Error Handling with SAP AIFLearn how to handle errors and monitor interfaces with SAP Application Interface Framework in this book.
By Krzysztof Łuka, Mateusz Nowak, Wojciech Eichert
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Book
Internet of Things with SAP: Implementation and DevelopmentAre you ready to build smart applications? See how to develop IoT apps and manage devices with SAP Internet of Things. Then, perform real-time data processing and analysis with SAP Edge Services.
By PVN PavanKumar, Shyam Ravindranathan, Sijesh Manohar
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Book
Intro to Oracle 9i: PL/SQL LanguageFor Oracle professionals including developers, database administrators, designers and analysts, this book provides a thorough introduction to the PL/SQL database programming language.
By Sideris Courseware Corporation
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Book
Introducing Accruals Management with SAP S/4HANAThere's a new accruals engine in town! With this book, discover each phase of accruals management in SAP S/4HANA: purchase order transfer, review, approval, and posting.
By Satyanarayana Rao Karri
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Book
Introducing Advanced Compliance Reporting with SAP S/4HANAThis boom will review prepackaged reports, and then learn the basics of creating and running your own-including extensibility options to meet your business's specific needs.
By Renan Correa
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Book
Introducing Advanced Intercompany Sales and Stock Transfer with SAP S/4HANAOut with the old, and in with the new-and-improved advanced intercompany sales and stock transfer! Explore the redesigned process flows in SAP S/4HANA, walk through scenario variants such as free-of-charge items and batch splits, and see what it takes to configure the solution.
By Mrinal K. Roy
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Book
Introducing Advanced Returns Management with SAP S/4HANAExplore follow-up activities such as transfer for scrapping, resale, or repair; then see how returns are settled through credits or replacements. Get ready for integrated returns, from end to end!
By Basawaraj Patil, Sri Krishna Raju Kakarlapudi
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Book
Introducing Advanced Shipping and Receiving (ASR) in SAP S/4HANAOptimize the communication between TM, EWM, and other logistics applications with advanced shipping and receiving (ASR) in SAP S/4HANA! See how ASR improves upon the old transportation unit-based architecture, and then dive into ASR's impact on inbound and outbound processing.
By Mrinal K. Roy
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Book
Introducing Advanced Variant Configuration (AVC) with SAP S/4HANA, 2nd Edition 2022Achieve leaner, faster production of individualized goods with SAP S/4HANA's new AVC engine! See how advanced variant configuration improves your engineering, sales, purchasing, and manufacturing processes, from product models to material variants.
By Stefan Kienzle
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Book
Introducing Asset Intelligence and Collaboration with SAP Business NetworkTake care of your equipment! Share asset data with your operators, suppliers, OEM manufacturers, dealers, and service providers with SAP Business Network Asset Collaboration (formerly SAP Asset Intelligence Network).
By Rajesh Ojha
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Book
Introducing Business Process Transformation with SAP SignavioGet new insight into your business processes with SAP Signavio! Begin with an overview of the SAP Signavio portfolio, and then dive into each tool.
By Gerry McCool, Nitin Singh
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Book
Introducing Central Payments with Central Finance and SAP S/4HANADoes your company manage payments in different systems? Discover how centralized payments with Central Finance streamlines your payment processes with SAP S/4HANA.
By Marcelo Trein
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Book
Introducing Central Procurement with SAP S/4HANASAP S/4HANA is the new hub for centralized procurement! Explore how SAP S/4HANA 1809 centrally manages requisitioning, purchasing, and contract management. Learn how you can tap into central analytics to gather actionable data about your procurement process.
By Armin Schuster, Justin Ashlock, Peter Paschert
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Book
Introducing Credit Management with SAP S/4HANADiscover how credit management has been retooled in SAP S/4HANA! Learn about master data for credit limits, risk classes, and more.
By Ashish Mohapatra
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Book
Introducing DDMRP with SAP IBP: Demand-Driven Replenishment for SAP ERPGetting ready for DDMRP? Dive into SAP IBP for demand-driven replenishment, and incorporate its innovative practices into your SAP ERP setup.
By Thomas Wright
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Book
Introducing Demand-Driven Replenishment (DDMRP) in SAP S/4HANA, 2nd Edition, Updated and Revised 2021From system configuration to the SAP Fiori apps used for planning and execution, this book shows you each stage of a DDR project.
By Jawad Akhtar
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Book
Introducing Employee Experience Management (EXM) with Qualtrics and SAP SuccessFactorsWhat can you learn from your employees? This book explores Qualtrics' employee experience management capabilities and shows you how to build personalized surveys that capture employee sentiment.
By Kristina Paljakka, Robert Browton, Sven Ringling
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Book
Introducing Environment, Health, and Safety (EHS) Management with SAP S/4HANAWalk through processes for incident management, occupational health and safety reviews, and environmental policy compliance. Learn how to keep track of internal change requests and approvals. Finally, get an overview of how EHS solutions get deployed with SAP S/4HANA.
By Michael Censurato
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Book
Introducing Event Management with SAP S/4HANAEvent management is here for SAP S/4HANA-get the introduction you need! Walk through the basic functionality of SAP Event Management and learn the master data elements it uses.
By Kevin Wilson
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Book
Introducing Financial Close with SAP S/4HANACurious about financial close in SAP S/4HANA? With this book, discover the end-to-end financial close process.
By Sandeep Bagchi
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Book
Introducing Governance, Risk, and Compliance (GRC) in SAP S/4HANAShowing you how SAP S/4HANA 1709 meets your governance, risk, and compliance (GRC) requirements, this book explains what's changed with access control and process control, and describes the new functionality for managing risk, audits, fraud, and more.
By Marie-Luise Wagener
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Book
Introducing GR/IR Reconciliation with Machine Learning in SAP S/4HANAIntelligent GR/IR clearing is here-so get on board! With this book, see how the machine learning capabilities embedded in SAP S/4HANA make intelligent recommendations for exception handling.
By Jörg Meyer, Thomas Lauff
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Book
Introducing InnoDB Cluster: Learning the MySQL High Availability StackIf you are growing your MySQL installation and want to explore making your servers highly available, this book provides what you need to know about high availability and the new tools that can be found in MySQL 8.0.11 and later.
By Charles Bell
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Book
Introducing Intercompany Matching and Reconciliation (ICMR) with SAP S/4HANAHow does SAP S/4HANA handle intercompany matching and reconciliation (ICMR) during financial close? Find out with this introductory guide!
By Brijesh Singh, Santosh Kumar
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Book
Introducing International Trade Management with SAP S/4HANARegulations. Tariffs. Documentation. With this book, discover how SAP S/4HANA for international trade handles the red tape.
By Arup Chakraborty
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Book
Introducing MySQL Shell: Administration Made Easy with PythonUse MySQL Shell, the first modern and advanced client for connecting to and interacting with MySQL.
By Charles Bell
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Book
Introducing Operational Planning with SAP IBP for Response and SupplyWalk through forecast consumption and demand in supply and product allocation planning. See how response planning keeps your business flexible and discover how to improve product delivery with deployment planning.
By Srinivas Devarapalli, Umesh Kumar Sharma
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Book
Introducing Portfolio and Project Management (PPM) with SAP S/4HANAShowing you what SAP S/4HANA offers for project and portfolio management, this book will walk you through portfolio, project, and resource management in SAP S/4HANA, and explores SAP Fiori applications for project managers and team members.
By Andrea Langlotz, Stefan Glatzmaier
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Book
Introducing Predictive Maintenance with SAP Predictive Asset InsightsIn this Book you'll learn how to use SAP Predictive Asset Insights to monitor the health of your equipment in real time and schedule maintenance when it is truly needed.
By Avijit Dhar
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Book
Introducing Predictive Material and Resource Planning (pMRP) with SAP S/4HANASAP S/4HANA's new long-term planning functionality is here! With this E-Bite, take your first steps with predictive material and resources planning (pMRP).
By Caetano Almeida
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Book
Introducing Product Costing with SAP S/4HANAProduct costing is complex, but SAP S/4HANA is ready! Think through your costing requirements, and explore key functionality for inventory valuation, standard product costing, manufacturing order costing, actual costing, and more.
By Janet Salmon
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Book
Introducing Production Engineering and Operations (PEO) with SAP S/4HANAWondering how production engineering and operations (PEO) works? Look no further! In this E-Bite, walk through PEO in SAP S/4HANA, from key master data to data transfer between document BOMs, engineering BOMs, and manufacturing BOMs.
By Jawad Akhtar
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Book
Introducing Revenue Accounting and Reporting with SAP S/4HANAThis book will explore how revenue recognition can be used in various industry use cases and in combination with costing-based CO-PA.
By Santosh Kumar, Xin Fang
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Book
Introducing RISE with SAP NEW!First, see what's on offer: Explore the capabilities of SAP S/4HANA Cloud Private Edition and SAP Signavio for business process optimization. Tour SAP BTP, SAP's platform for app development and extensibility, integration, analytics, and AI. Then take a look at the underlying cloud infrastructure and the role of hyperscalers.
By Anurag Barua
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Book
Introducing SAP Bank Communication Management in SAP S/4HANAManage bank communications in one central place with SAP Bank Communication Management! In this book, you'll see how SAP BCM in SAP S/4HANA handles both outgoing and incoming messages.
By Mitesh Sanghavi
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Book
Introducing SAP Cloud ALM for ImplementationsCurious about how application lifecycle management can help you transition to the cloud? Discover the tools and capabilities SAP Cloud ALM offers for your cloud implementations.
By Jagmohan Singh Chawla, Nicolas Alech, Wulff-Heinrich Knapp
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Book
Introducing SAP Cloud Identity Access Governance (IAG) NEW!Learn about access management for your cloud and hybrid landscapes with SAP Cloud Identity Access Governance! First, understand the security challenges that SAP Cloud IAG helps solve.
By Bhagyashree Patil, Raghu Boddu
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Book
Introducing SAP CPQ with SAP Customer ExperienceGet to know SAP CPQ (formerly CallidusCloud CPQ) and its configuration, pricing, and quotation processes! Walk through order management, from rules and triggers to workflows and customization in SAP Customer Experience.
By Gaurang Dixit
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Book
Introducing SAP Data Warehouse CloudFind out how SAP Data Warehouse Cloud fits into your landscape. Explore the possibilities with this book.
By Imran Rashid
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Book
Introducing SAP DatasphereSAP Datasphere is the latest solution for data warehousing-so how does it work, and what can it do for your business? Get an overview of SAP Datasphere and review its integration capabilities.
By Geetha Madhuri Bobbili
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Book
Introducing SAP Digital ManufacturingAre you ready for cloud-based, AI-driven manufacturing? See how SAP Digital Manufacturing streamlines and improves your manufacturing execution, automation, and analytics processes. Learn about key features for operations management, and then discover how to automate your system using APIs, the production process designer, automatic triggers, and more. Explore your options to analyze, integrate, and extend SAP Digital Manufacturing with this all-in-one introduction!
By Rahul Kumar, Rohit Dwivedi
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Book
Introducing SAP Digital Manufacturing Cloud for Industry 4.0Exploring how different trends and factors are influencing manufacturing, this book discusses how SAP Digital Manufacturing Cloud can help customers address these challenges.
By Rahul Kumar, Rohit Dwivedi
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Book
Introducing SAP Digital Payments for SAP S/4HANAUsing payment service providers can mean a complex web of integrations with your ERP system. See how the SAP digital payments add-on in SAP Cloud Platform streamlines your processes in SAP S/4HANA.
By Santosh Kumar
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Book
Introducing SAP Global Trade Services, Edition for SAP HANAStart with the basics of global trade management and then dig in to product classification, trade compliance, free trade agreements, imports and exports, analytics, and more.
By Mukesh Mahajan
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Book
Introducing SAP HANA CloudHow does SAP HANA Cloud work, and what does it offer your business? Find out by taking your first steps with the new database application platform and understanding its architecture and underlying technologies.
By Denys van Kempen, Raja Gupta
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Book
Introducing SAP Intelligent Robotic Process AutomationWith this book, see what SAP Intelligent Robotic Process Automation has to offer!
By Dwayne DeSylvia, Jonathan Yagos
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Book
Introducing SAP Logistics Business NetworkGet the inside scoop on SAP Logistics Business Network! Walk through subcontracting, settlement, dock appointment scheduling, global track and trace, material traceability, and more.
By Harikrishnan Panakkal
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Book
Introducing SAP Master Data Governance (SAP MDG) on SAP S/4HANAExplore the new and improved SAP Master Data Governance on SAP S/4HANA, including enhanced functionality for central governance, remediation, mass processing, and consolidation.
By Dilip Radhakrishnan, Syama Srinivasan
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Book
Introducing SAP Model Company for SAP S/4HANAWhether your system requirements center on an industry like life sciences or a line of business like connected manufacturing, explore SAP Model Company and get started!
By Babu Joseph, Sudhakar Kovuri
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Book
Introducing SAP PLM in the CloudLearn about core PLM functionality: product definition, engineering, visualization, and orchestration. Understand how integration with SAP Business Technology Platform enables a seamless manufacturing landscape.
By Carsten Dietze-Selent, Eudes Canuto, Ilona Eirich, Ismail Serin
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Book
Introducing SAP Profitability and Performance Management (PaPM)Learn to apply those models to costing and pricing, tax calculation and reporting, financial risk modeling, and ESG reporting.
By Marius Berner
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Book
Introducing SAP S/4HANA Cloud for Advanced Financial Closing (AFC)Move over SAP Financial Closing cockpit-SAP S/4HANA Cloud for advanced financial closing (AFC) is here! Whether you're working with on-premise SAP S/4HANA or SAP S/4HANA Cloud, see how this new solution helps you close your books.
By Howard A. La Kier, Marc Six, Maximilian Köbler, Shiv Prabakar
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Book
Introducing SAP S/4HANA ServiceSee how SAP has combined the best parts of SAP ERP and SAP CRM to create service management with SAP S/4HANA!
By Noboru Ota
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Book
Introducing SAP SuccessFactors Onboarding 2.0Get up to speed on the new and improved SAP SuccessFactors Onboarding 2.0! Explore the functionality designed for new hires, their managers or colleagues, and their HR administrators.
By Shelly Lynn Efrosinis
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Book
Introducing SAP Yard LogisticsClean up your yard! See how SAP Yard Logistics connects your warehousing and transportation operations with this practical book.
By Alexandru Sasarean, Arthur Sehn, Christian Reinhardt, Marco Scheuermann, Peter Wenzel
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Book
Introducing SQL ServerFrom installing the software to executing and profiling queries, this fast and easy introduction focuses on the knowledge and skills needed to begin your journey toward becoming a solid and competent SQL Server professional and database programmer.
By Mike McQuillan
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Book
Introducing Stock Room Management with SAP S/4HANAWhat is stock room management? Does it fit your needs? What can (and can't) it do? With this book, understand why you would use stock room management-and how.
By Sanil Kimmatkar
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Book
Introducing Supply and Demand Segmentation in SAP S/4HANATake your first steps toward a more efficient supply chain with SAP S/4HANA's supply and demand segmentation functionality.
By Ankush Agrawal, Arijit Mitra
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Book
Introducing the Material Master in SAP S/4HANANo record is more central to SCM in SAP S/4HANA than the material master, so uncover the key data stored in each material master view!
By Himanshu Goel
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Book
Introducing the MySQL 8 Document StorePresenting new tools and features that make creating a hybrid database solution far easier than ever before, this book gives insight into how features work and how to apply them to get the most out of your MySQL experience.
By Charles Bell
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Book
Introducing the New Model in SAP Analytics CloudIn this book, you'll learn about measure-based modeling and how it differs from the previous account-based modeling.
By Pravin Datar
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Book
Introducing the Technical Foundation of SAP S/4HANAYou're here to learn about the foundation of SAP S/4HANA: the technical architecture! In this book, you'll see how the new data structure, modern user experience, and key embedded technologies can help you drive business process improvements.
By Nitin Singh
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Book
Introducing the Universal Journal in SAP S/4HANASeeking a single source of financial truth? Meet the Universal Journal! With this book, see how the redesigned SAP S/4HANA Finance table structure will change your steering model.
By Janet Salmon
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Book
Introducing Time Management with SAP SuccessFactorsOn time, every time. Get an introduction to SAP SuccessFactors's new time management portfolio! Learn how to keep track of an employee's time spent at and away from work. From recording and evaluating to reporting on and analyzing time on and time off, discover key SAP SuccessFactors functionality.
By Venkatesan Iyengar
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Book
Introducing Transfer Pricing with SAP S/4HANAGet to know the financial side of intercompany movement with this guide to transfer pricing in SAP S/4HANA! Explore both intercompany and profit center transfer pricing and see how they can improve your workflows.
By Effendi Abrahman
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Book
Introducing Transportation Management in SAP S/4HANAPlanning the journey is more than choosing the destination. See how SAP S/4HANA gets your goods from point A to point B with embedded SAP Transportation Management.
By Bernd Lauterbach, Stefan Sauer
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Book
Introducing Treasury and Risk Management (TRM) with SAP S/4HANAWith this book, tour your key treasury and financial risk management processes: transaction management, exposure management, hedge management and accounting, and more.
By Arjun Krishnan
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Book
Introducing Universal Parallel Accounting with SAP S/4HANAStreamline your financial data management with SAP S/4HANA's new universal parallel accounting functionality! Discover how universal parallel accounting affects the enterprise structure and configuration of financial accounting, asset accounting, production accounting, inventory accounting, and actual costing.
By Smitha Chowdavarapu
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Book
Introduction to Biostatistics with JMPPresented in an easy-to-understand way, this book introduces undergraduate students in the biological sciences to the most commonly used (and misused) statistical methods that they will need to analyze their experimental data using JMP.
By Steve Figard
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Book
Introduction to SQL and PL/SQLIncluding a large number of examples, practical questions, objective questions, and FAQs, this book provides a complete guide to the practical implementations of DBMS concepts including SQL and PL/SQL development.
By Ruchin Jain, Sharad Maheshwari
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Book
Introductory Relational Database Design for Business, with Microsoft AccessHelping readers to quickly develop a thorough, practical understanding of relational database design, this hands-on beginner's guide takes a step-by-step, real-world approach, using application examples from business and finance every step the way.
By Ali Shabdar, Bonnie R. Schultz
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Book
Inventory Management and Optimization in SAP ERPOversee your stock with this guide to inventory management and optimization with SAP ERP!
By Elke Roettig
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Book
Inventory Management with SAP S/4HANAJump-start your inventory operations in SAP S/4HANA! Review basic inventory practices and consult step-by-step instructions to configure SAP S/4HANA for your organization's requirements. Then put the system to work!
By Bernd Roedel, Johannes Esser
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Book
Inventory Planning and Optimization with SAP IBPPlan and control your stock levels with this all-in-one guide
By Lei Wang
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Book
Investment Management with SAP ERP: The Comprehensive GuideLooking for a complete guide to Investment Management? This book will teach you to create an investment program and to position and budget for internal orders and projects.
By Pankaj Bhalerao, Shraddha Temgire
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Book
Java Persistence with NoSQL: Revolutionize Your Java Apps with NoSQL IntegrationJava Persistence with NoSQL is a comprehensive guide that offers a unique blend of theoretical knowledge and practical implementation, making it an invaluable resource for those seeking to excel in their roles.
By Otávio Santana
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JavaScript for ABAP DevelopersIf you want to use SAPUI5, you need to know JavaScript. Take your first steps toward fluency with this book!
By Brandon Caulfield
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Job Ready SQLJob Ready SQL provides you with the foundational skills necessary to work with data of any kind. Offering a straightforward ‘learn-by-doing' approach, this concise and highly practical guide teaches you all the basics of SQL so you can apply your knowledge in real-world environments immediately.
By Haythem Balti, Kimberly A. Weiss
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Joe Celko's Complete Guide to NoSQL: What Every SQL Professional Needs to Know about Nonrelational DatabasesExplaining where, when, and why the benefits of NoSQL outweigh those of SQL, this expert guide provides a complete overview of non-relational technologies so that you can become more nimble to meet the needs of your organization.
By Joe Celko
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Joe Celko's Trees and Hierarchies in SQL for Smarties, Second EditionFeaturing expert advice from a noted SQL authority and award-winning columnist, this invaluable guide teaches scores of advanced techniques that can be used with any product, in any SQL environment so you can master the challenging aspects of SQL database applications.
By Joe Celko
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Jumpstart Snowflake: A Step-by-Step Guide to Modern Cloud AnalyticsSnowflake was built specifically for the cloud and it is a true game changer for the analytics market. This book will help onboard you to Snowflake, present best practices to deploy, and use the Snowflake data warehouse.
By Dmitry Anoshin, Dmitry Shirokov, Donna Strok
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Book
Kanban with SAP S/4HANA: Configuration and UseImplement Kanban in SAP S/4HANA to help you pull only the stock you need! From configuring the Kanban board to setting up critical master data, this E-Bite provides key configuration instructions to get you up and running.
By Jawad Akhtar
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Book
Knight's 24-Hour Trainer: Microsoft SQL Server 2008 Integration ServicesIf you need a practical, hands-on introduction to Microsoft SQL Server 2008 Integration Services (SSIS), this book from foremost SSIS authority Brian Knight gets you thoroughly up to speed.
By Brian Knight, Devin Knight, Mike Davis
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Learn Meteor - Node.js and MongoDB JavaScript Platform: Be Ready for Coding Away Next Week Using MeteorPacked with exercises which build up into a full project, this concise resource provides you with the tools you need to code your first Meteor application.
By Arnaud Weil
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Learn PHP 7: Object-Oriented Modular Programming using HTML5, CSS3, JavaScript, XML, JSON, and MySQLIncluding programming examples that take advantage of the newest features, this learn-by-doing book introduces writing solid, secure, object-oriented code in the new PHP 7, carefully presented in a well-paced, clear fashion.
By Steve Prettyman
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Learn SQL Server Administration in a Month of LunchesThe perfect way to get started with SQL Server, this concise, easy-to-read book skips academic introductions and teaches you day-to-day techniques for maintenance, backup and recovery, performance monitoring, and more.
By Don Jones
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Learn SQL with MySQL: Retrieve and Manipulate Data Using SQL Commands with EaseDesigned for beginners as well as professionals alike, this book will also be useful to Data Scientists, Data Analysts, Database Administrators, and Data Engineers.
By Ashwin Pajankar
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Learn T-SQL From ScratchIf you want to know how to design, develop, and maintain SQL Server databases and run sophisticated T-SQL queries without much hassle, this book is for you. Readers with a basic understanding of programming would have an advantage.
By Brahmanand Shukla
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Learning SQL Server 2008 Reporting Services: A Step-by-Step Guide to Getting the Most of Microsoft SQL Server Reporting Services 2008Ideal for beginners who need to create reports as quickly as possible, this book will lead you through practical examples to teach you a full range of skills for reporting with SQL Server 2008 Reporting Services.
By Jayaram Krishnaswamy
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Lease Accounting with SAP: IFRS 16 and ASC 842The countdown for lease accounting has started; are you ready for IFRS 16 and ASC 842? Jump-start your leasing project with this guide to SAP Lease Administration.
By Hanno Hofmann, Joy Mabborang, Louis Teunissen, Pamela Lim
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Book
Leveling Up with SQL: Advanced Techniques for Transforming Data into InsightsLearn to write SQL queries to select and analyze data, and improve your ability to manipulate data. This book will help you take your existing skills to the next level.
By Mark Simon
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Linux Recipes for Oracle DBAsWritten for database administrators who need to get work done and lack the luxury of curling up with a stack of Linux documentation, this task-oriented book covers commonly used distributions such as Red Hat Enterprise Linux and Oracle Enterprise Linux.
By Bernard Lopuz, Charles Kim, Darl Kuhn
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Logging for SAP S/4HANA SecurityLogs are useful for more than just record-keeping. Learn how to analyze, use, and manage logs to improve your SAP S/4HANA security with this E-Bite! Start by accessing your logs, whether you're running SAP S/4HANA on-premise or in the cloud.
By Sandip Dholakia
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Logistics with SAP S/4HANA: An Introduction, 3rd Edition 2022Discover how SAP S/4HANA transforms your supply chain! Explore functionalities for sourcing and procurement, production execution, plant maintenance, sales order management, transportation management, warehouse management, and more.
By Deb Bhattacharjee, Falguni Thompson, Guillermo B. Vazquez, Vishal Khandalkar
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Machine Learning with Intelligent Scenario Lifecycle Management (ISLM)Update your machine learning skills with Intelligent Scenario Lifecycle Management (ISLM)! In this E-Bite, you'll develop a complete machine learning application for SAP S/4HANA using SAP HANA PAL, from data preparation and model building to training and prediction generation.
By Kinga Tarczyńska, Marcin Dzierzgowski, Marek K. Zieliński
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Machine Learning with SAP: Models and ApplicationsWork smarter with machine learning! Begin with core machine learning concepts - types of learning, algorithms, data preparation, and more.
By Avijit Dhar, Laboni Bhowmik, Ranajay Mukherjee
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Magic of Oracle ADF and ADF FacesFor those with a basic understanding of Java and web applications, this guide will help you realize how easily you can develop enterprise level applications using ADF Faces components and ADF Framework.
By Shibi Panikkar
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Maintenance Planning with SAP Plant MaintenanceWith this book, you'll create a maintenance strategy using task lists and assess an asset's current status through measuring points and counters. Once you've devised a maintenance plan, you'll learn the ins and outs of scheduling.
By Khaled Saeed Dahrog
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Making Sense of NoSQL: A Guide for Managers and the Rest of UsWritten in plain language suitable for technical managers and developers, and using many examples, use cases, and illustrations, this book explains the concepts, features, benefits, potential, and limitations of NoSQL.
By Ann Kelly, Dan McCreary
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Managing FI-CO Master Data in SAPShowing you how to avoid rookie mistakes when you use master data in FI-CO implementations, this book explains the seven key master data types, and helps you understand how to configure and maintain each one.
By Babu Joseph
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Mapping with BRFplus Decision Tables and SAP AIFMaster decision tables with this guide to simple and complex mapping with BRFplus.
By Michal Rohnka
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MariaDB and MySQL Common Table Expressions and Window Functions RevealedCovering two of the most compelling and yet underrated new features in MariaDB 10.2 and MySQL 8.0, this clear and concise book helps readers to not only know how to apply the features, but also to recognize when to apply them.
By Daniel Bartholomew
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Mastering Amazon Relational Database Service for MySQL: Building and Configuring MySQL InstancesWhether you are a database administrator, a software developer, a system architect, or a technology enthusiast, this book provides valuable insights and practical guidance for effectively utilizing Amazon RDS.
By Arunjith Aravindan, Dr. P.V. Kumaraguru, Jeyaram Ayyalusamy
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Mastering Oracle GoldenGateHelping you master Oracle GoldenGate technology on multiple database platforms, this step-by-step implementation guide will teach you about advanced features to use in building a robust, high-availability replication system.
By Ravinder Gupta
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Mastering Oracle PL/SQL: Practical SolutionsDesigned to show you how to code PL/SQL, this book offers solutions to help you realize the true power and functionality PL/SQL can offer your projects and gives you the tools to ensure that the PL/SQL you build will run as efficiently as possible.
By Connor McDonald, et al.
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Mastering Oracle SQL and SQL* PlusSupported by realistic examples, this book is fully compliant with the latest version of the ANSI SQL standard, fully updated for the Oracle 10g database, and will give you the competence to define, access, and manipulate data in an Oracle database.
By Lex de Haan
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Mastering PL/SQL Through Illustrations: From Learning Fundamentals to Developing Efficient PL/SQL BlocksThis book helps you to improve your employability and job market so that you can sprint towards a rewarding career in the area of databases.
By Dr. B. Chandra
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Mastering Snowflake Platform: Generate, fetch, and automate Snowflake data as a skilled data practitionerThis book is for data practitioners, data engineers, data architects, or every data enthusiast who is keen on learning Snowflake. It does not need any prior experience, however, it is beneficial to have a basic understanding of cloud computing, data concepts and basic programming skills.
By Pooja Kelgaonkar
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Mastering Snowflake Solutions: Supporting Analytics and Data SharingThis book also helps you protect your most valuable data assets using built-in security features such as end-to-end encryption for data at rest and in transit.
By Adam Morton
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Material Ledger in SAP S/4HANA: Functionality and Configuration, Second Edition 2023The Material Ledger is mandatory in SAP S/4HANA. Get it up and running smoothly with this all-in-one resource! Configure key settings for currency conversion, ledgers, and valuation views.
By Paul Ovigele
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Material Requirements Planning with SAP S/4HANAMRP is the backbone of manufacturing so get the SAP S/4HANA details you need to maximize your system! With this comprehensive guide, set up master data and configure SAP S/4HANA with step-by-step instructions.
By Caetano Almeida
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Materials Management with SAP ERP: Functionality and Technical ConfigurationGet the most out of your Materials Management implementation with this updated, comprehensive guide to configuration and functionality. Whether you work with SAP MM or with peripheral SAP applications, you'll learn the ins and outs of materials management in SAP ERP.
By Jawad Akhtar, Martin Murray
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Materials Management with SAP S/4HANA: Business Processes and Configuration, 2nd Edition, Updated 2020Get MM on SAP S/4HANA! Set up the master data your system needs to run its material management processes. Learn how to define material types, MRP procedures, business partners, and more.
By Jawad Akhtar, Martin Murray
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Materials Management with SAP S/4HANA: Business Processes and Configuration, 3rd, Updated and Revised Edition 2024Manage your materials with SAP S/4HANA! Whether your focus is on materials planning, procurement, or inventory, this guide will teach you to configure and manage MM in SAP S/4HANA.
By Jawad Akhtar, Martin Murray
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Materials Planning with SAPLearn how to use SAP ERP to calculate what, when, and how many items are required for production with this comprehensive guide.
By Uwe Goehring
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Maturing the Snowflake Data Cloud: A Templated Approach to Delivering and Governing Snowflake in Large EnterprisesThe book provides a proven pathway to success by equipping you with skill, knowledge, and expertise to accelerate Snowflake adoption within your organization. The patterns delivered within this book are used for production deployment, and are proven in real-world use.
By Andrew Carruthers, Sahir Ahmed
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MDX Solutions With Microsoft SQL Server Analysis ServicesThis reference guide shows developers and users how to use MDX to access and analyze data for decision support. The authors provide practical examples of MDX in use, and explain both standard usage and more advanced techniques.
By George Spofford
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MDX Solutions: With Microsoft SQL Server Analysis Services 2005 and Hyperion Essbase, Second EditionPresenting practical examples of MDX in use, this invaluable reference explains how to build effective multidimensional data warehouses so you'll gain the skills necessary to access and analyze data to make better business decisions.
By Christopher Webb, Dylan Hai Huang, Francesco Civardi, George Spofford, Sivakumar Harinath
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Microsoft SQL Server 2008 Administration for Oracle DBAsAuthored by real-world experts in both Oracle and SQL, this book introduces fundamental concepts, such as SQL Server architecture and core administration, before guiding you through advanced techniques, including performance optimization, high availability and disaster recovery.
By Christian Bolton, James Fox, Mark Anderson
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Microsoft SQL Server 2008 For DummiesAre you ready to unleash the power hidden within your organization's data to meet business objectives? This book will help you build the skills that SQL Server database administrators must have to succeed.
By Mike Chapple
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Microsoft SQL Server 2012 Administration: Real World Skills for MCSA Certification and Beyond (Exams 70-461, 70-462, and 70-463)From understanding SQL Server's roles to implementing business intelligence and reporting, this practical book explores tasks and scenarios that a working SQL Server DBA faces regularly and shows you step by step how to handle them.
By Tom Carpenter
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Microsoft SQL Server 2012 BibleCrammed with specific examples, sample code, and a host of tips, workarounds, and best practices, this authoritative guide shows you step by step how to develop top-notch SQL Server databases and new data connections, and how keep your databases performing at peak.
By Aaron Nelson, Adam Jorgensen, Jorge Segarra, Jose Chinchilla, Patrick LeBlanc
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Microsoft SQL Server 2012 Reporting Services, Fourth EditionIncluding a detailed case study and sample reports, this practical reference covers the complete process of building and distributing reports and explains how to maximize all of the powerful, integrated SSRS capabilities, including the new and enhanced features.
By Brian Larson
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Microsoft SQL Server 2012 T-SQL (Book 16)Presenting easy to use sample tables, and 700 pages of real-world examples and explanations, this reference guide will help both new and advanced users master T-SQL.
By Debra Aaron, Tom Coffing
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Microsoft SQL Server 2012: A Beginners Guide, Fifth EditionFilled with real-world examples and hands-on exercises, this step-by-step tutorial addresses users of all components of the SQL Server system who want to get a good understanding of this database system and work successfully with it.
By Dušan Petkovic
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Microsoft SQL Server 2012: Master Data Services, Second EditionCovering the latest Master Data Services (MDS) features, this thorough guide shows you how to implement and manage a centralized, customer-focused MDS framework so you can harness your master data and grow revenue while reducing administrative costs.
By Tyler Graham
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Microsoft SQL Server 2014 Query Tuning & OptimizationFilled with ready-to-use techniques for creating high-performance queries and applications, this book describes the inner workings of the query processor so you can write better queries and provide the query processor with the quality information it needs to produce efficient execution plans.
By Benjamin Nevarez
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Microsoft SQL Server 2016 Reporting Services, Fifth EditionIncluding a detailed case study and sample reports, this hands-on reference covers the complete process of building and distributing reports and explains how to maximize all of the powerful, integrated SSRS capabilities, including the new and enhanced features.
By Brian Larson
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Microsoft SQL Server 2016: A Beginner's Guide, Sixth EditionGet up and running on Microsoft SQL Server 2016 in no time with help from this thoroughly revised, practical resource. This book offers thorough coverage of SQL management and development and features full details on the newest business intelligence, reporting, and security features.
By Dušan Petković
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Microsoft SQL Server 2017 on LinuxWritten by a SQL Server expert and respected author, this comprehensive guide shows, step-by-step, how to set up, configure, and administer SQL Server 2017 on Linux for high performance and high availability.
By Benjamin Nevarez
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Microsoft SQL Server 2019: A Beginner's Guide, Seventh EditionStart working with Microsoft SQL Server 2019 in no time with help from this thoroughly revised, practical resource.
By Dušan Petković
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Migrating Custom Code to SAP S/4HANADoes your organization have a lot of custom code? Are you planning a move to SAP S/4HANA? Then this book is for you!
By Paul Hardy
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Migrating Data to SAP S/4HANA CloudThis book will dive into this complete guide to SAP S/4HANA migrations paths, processes, and tools.
By Boris Rubarth, Frank Densborn, Frank Finkbohner, Jochen Freudenberg, Kim Mathäß
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Migrating Data with the SAP S/4HANA Migration CockpitThe SAP S/4HANA migration cockpit has a new look-and new features! In this E-Bite, you'll learn to navigate the new SAP Fiori-based UI and discover the latest tools to move your data to both on-premise SAP S/4HANA and SAP S/4HANA Cloud.
By Brian Atkinson, Frank Finkbohner
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Migrating from Costing-Based to Account-Based CO-PA in SAP S/4HANAEmbarking on your SAP S/4HANA Finance migration? Learn how to change cost-based CO-PA to account-based CO-PA.
By Ajay Maheshwari
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Migrating SAP S/4HANA Workloads to Hyperscalers: Planning and DesignLooking to move your SAP S/4HANA workloads to a hyperscaler platform? This book will walk you through building a plan for both your new landscape and the migration itself.
By Kunaal Abhijit Masih
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Migrating to SAP S/4HANA, 2nd Edition, Updated and Revised 2021The best-selling book on SAP S/4HANA migration is back! Dive into this complete guide to SAP S/4HANA migrations paths, processes, and tools.
By Frank Densborn, et al.
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Migrating to SAP S/4HANA: Operating Models, Migration Scenarios, Tools, and Implementation, 3rd EditionIt's time to start your migration to SAP S/4HANA, using this all-in-one resource! Get to know the migration paths, processes, and tools. First, explore on-premise, cloud, and hybrid deployment scenarios. Then, understand the steps involved in new implementations and system conversions. Finally, get step-by-step instructions for all the relevant migration tools. From basic concepts to implementation processes, you'll find everything you need to plan, prepare, and kickstart your SAP S/4HANA migration!
By Boris Rubarth, Frank Densborn, Frank Finkbohner, Kim Mathäß, Martina Höft, Petra Klöß
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Migrating to the Cloud: Oracle Client/Server ModernizationProviding recommendations on tools, strategy and best practices, this book serves as a guide as you plan, determine effort, budget, design, execute and roll your modern Oracle system out to production.
By Prakash Nauduri, Tom Laszewski
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Modern Oracle Database Programming: Level Up Your Skill Set to Oracle's Latest and Most Powerful Features in SQL, PL/SQL, and JSONAny developer who is writing SQL or PL/SQL, PL/SQL experts who want to level up their knowledge and skills to the latest features that Oracle Database provides, and developers who don't want to write their own solutions only to find out later that they've wasted their time by building something that Oracle Database provides out of the box.
By Alex Nuijten, Patrick Barel
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Modern Oracle Enterprise ArchitectureThis book will help readers to achieve their database and application system solution architecture career objectives more quickly without spending years. The readers can prevent committing errors, recovering from them, and learning things the hard way.
By JAVID UR RAHAMAN
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MongoDB BasicsTeaching you MongoDB design basics, including geospatial indexing, how to navigate, view, and query your database, and how to use GridFS with a bit of Python, this book shows you how a document-oriented database system differs from a relational database, and how to install and get started using it.
By David Hows, Eelco Plugge, Peter Membrey
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MongoDB in Action: Covers MongoDB version 3.0 , Second EditionIntroducing MongoDB 3.0 and the document-oriented database model, this perfectly paced book gives you both the big picture you'll need as a developer and enough low-level detail to satisfy system engineers.
By Douglas Garrett, Kyle Banker, Peter Bakkum, Shaun Verch, Tim Hawkins
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MongoDB Performance Tuning: Optimizing MongoDB Databases and their ApplicationsHelping you get the best possible performance from MongoDB, this book takes a methodical and comprehensive approach to performance tuning that begins with application and schema design and goes on to cover optimization of code at all levels of an application.
By Guy Harrison, Michael Harrison
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MongoDB Recipes: With Data Modeling and Query Building StrategiesProviding recipes on the MongoDB query language, including how to query various data structures stored within documents, this book provides self-contained code examples that will allow you to solve your MongoDB problems without fuss.
By Dharanitharan Ganesan, Subhashini Chellappan
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MongoDB Topology Design: Scalability, Security, and Compliance on a Global ScaleWhether you are thinking of migrating to MongoDB or need to meet legal requirements for an existing self-managed cluster, this book has you covered.
By Nicholas Cottrell
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MySQL 8 Query Performance Tuning: A Systematic Method for Improving Execution SpeedsIdentify, analyze, and improve poorly performing queries that damage user experience and lead to lost revenue for your business.
By Jesper Wisborg Krogh
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MySQL Administrator's BibleWith special focus on the next major release of MySQL, this resource provides a solid framework for anyone new to MySQL or transitioning from another database platform, as well as experience MySQL administrators.
By Keith Murphy, Sheeri Cabral
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MySQL and JSON: A Practical Programming GuideWritten by a MySQL Community Manager for Oracle, this hands-on guide teaches, step by step, how to use JavaScript Object Notation (JSON) with MySQL.
By David Stokes
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MySQL Basics In PicturesHelping beginners learn to use the open-source MySQL database and integrate it with Web sites, this visual guide shows how to install MySQL on a Linux computer, back up a database, add a local user, use PERL and CGI script to write queries, and more.
By Kevin Jordan
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MySQL Concurrency: Locking and Transactions for MySQL Developers and DBAsKnow how locks work in MySQL and how they relate to transactions. This book explains the major role that locks play in database systems, showing how locks are essential in allowing high-concurrency workloads.
By Jesper Wisborg Krogh
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MySQL Connector/Python Revealed: SQL and NoSQL Data Storage Using MySQL for Python ProgrammersShowing you how to move data back and forth between database and application, this must-read book takes you from the initial installation of the connector through basic query execution, then through more advanced topics, error handing, and troubleshooting.
By Jesper Wisborg Krogh
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MySQL Crash Course: A Hands-on Introduction to Database DevelopmentMySQL Crash Course is a fast-paced, no-nonsense introduction to relational database development. It's filled with practical examples and expert advice that will have you up and running quickly.
By Rick Silva
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MySQL for the Internet of ThingsIntroducing the problems facing Internet of Things developers, this book explores current technologies and techniques to help you manage, mine, and make sense of the data being collected through the use of the world's most popular database on the Internet - MySQL.
By Charles Bell
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MySQL Workbench: Data Modeling & DevelopmentWith clear examples, instructions, and explanations, this Oracle Press guide helps developers learn how to effectively use this powerful product for database modeling, reverse engineering, and interaction with the database without writing SQL statements.
By Michael McLaughlin
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Next Generation Databases: NoSQL, NewSQL, and Big DataDemystifying today's new database technologies, this insightful book will help you choose the correct database technology at a time when concepts such as Big Data, NoSQL and NewSQL are making what used to be an easy choice into a complex decision with significant implications.
By Guy Harrison
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NoSQL For DummiesFeaturing specific evaluation criteria for NoSQL databases, along with a look into the pros and cons of the most popular options, this book presents an understanding of how to use NoSQL databases for mission-critical enterprise architectures and projects, and real-world examples reinforce the primary points to create an action-oriented resource for IT pros.
By Adam Fowler
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OCA Oracle Database 11g: SQL Fundamentals I: Exam Guide (Exam 1Z0-051)Featuring challenging exercises, practice questions, drills, and chapter summaries, this exclusive Oracle Press guide will help you prepare for the Oracle Certified Associate Oracle Database 11g: SQL Fundamentals I exam.
By John Watson, Roopesh Ramklass
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OCA Oracle Database 12c Installation and Administration Exam Guide (Exam 1Z0-062)Featuring challenging exercises, certification summaries, two-minute drills, and self-tests within each chapter to reinforce the topics presented, this authoritative resource helps you prepare for and pass the exam, and also serves as an essential, on-the-job reference.
By John Watson
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OCA Oracle Database 12c: SQL Fundamentals I Exam Guide (Exam 1Z0-061)Featuring challenging exercises, a certification summary, a two-minute drill, and a self-test - in each chapter - to reinforce the topics presented, this authoritative Oracle Press guide will help you pass the exam and also serves as an essential, on-the-job reference.
By Roopesh Ramklass
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OCA Oracle Database SQL Exam Guide (Exam 1Z0-071)Featuring detailed explanations, examples, practice questions, and chapter summaries, this study guide and on-the-job reference offers 100% coverage of all objectives on the latest version of the Oracle Database SQL Exam.
By Steve O'Hearn
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OCA: Oracle Database 11g Administrator Certified Associate Study Guide: (Exams1Z0-051 and 1Z0-052)With practical hands-on exercises, real-world scenarios, and challenging review questions, this in-depth guide provides full coverage of essential topics for two required OCA certification exams.
By Biju Thomas
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OCA: Oracle Database 12c Administrator Certified Associate Study Guide (Exams 1Z0-061 and 1Z0-062)Authored by an industry expert with hands-on Oracle database experience, this comprehensive guide not only helps you prepare for the challenging 1Z0-061 and 1Z0-062 exams, but also prepares you for the day-to-day work world of a database administrator.
By Biju Thomas
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OCA/OCP Oracle Database 11g All-in-One Exam Guide: (Exam 1Z0-051, 1Z0-052, and 1Z0-053)Filled with challenging exercises, practice questions, and a two-minute drill to highlight what you've learned, this authoritative guide will help you pass the test and serve as your essential on-the-job reference.
By Bob Bryla, John Watson, Roopesh Ramklass
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OCA/OCP Oracle Database 12c All-in-One Exam Guide (Exams 1Z0-061, 1Z0-062, & 1Z0-063)Including examples, practice questions, chapter summaries, and a two-minute drill to reinforce essential knowledge in each chapter, this Oracle Press guide covers all of the exam objectives on the Installation and Administration, SQL Fundamentals, and Advanced Administration exams in detail.
By Bob Bryla, John Watson, Roopesh Ramklass
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OCP Oracle Database 12c Advanced Administration Exam Guide (Exam 1Z0-063)Featuring challenging exercises in each chapter, a certification summary, a two-minute drill, and a self test to reinforce the topics presented, this authoritative Oracle Press guide will help you pass the OCP 1Z0-063 exam, and also serves as an essential on-the-job reference.
By Bob Bryla
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OCP Upgrade to Oracle Database 12c Exam Guide (Exam 1Z0-060)Featuring step-by-step examples, certification summaries, two-minute drills, and self-tests in each chapter to reinforce the topics presented, this authoritative resource helps you pass the exam and also serves as an essential, on-the-job reference.
By Sam R. Alapati
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OCP: Oracle Database 11g Administrator Certified Professional Study Guide: (Exam 1Z0-053)Including lab exercises, real-world scenarios and challenging review questions, this in-depth guide offers full coverage of all exam objectives in a systematic approach, so you can be confident you're getting the instruction you need for the exam.
By Charles A. Pack, Doug Stuns, Robert G. Freeman
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OCP: Oracle Database 12c Administrator Certified Professional Study Guide: Exam 1Z0-063By helping you sharpen your skills to prepare for the three levels of certification: Oracle Certified Associate, Oracle Certified Professional, and Oracle Certified Master, this study guide reviews how Oracle 12c allows multiple instances to be used simultaneously via the cloud.
By Charles A. Pack, Robert G. Freeman
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Oracle 11g For DummiesWalking you through the mysteries of Oracle and database administration, this nuts-and-bolts guide will help you understand Oracle database architecture, show you how to set up and manage an Oracle database, and keep it running in tiptop form.
By Chris Ruel, Chris Zeis, Michael Wessler
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Oracle 12c For DummiesPresenting the perfect guide for a novice database administrator or an Oracle DBA new to Oracle 12c, this book covers what you need to know about Oracle 12c architecture, software tools, and how to successfully manage Oracle databases in the real world.
By Chris Ruel, Michael Wessler
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Oracle 19c AutoUpgrade Best PracticesThis book is intended for Oracle DBA students, Database administrators, Database Architects and anyone else who want to improve their database upgrade or downgrade skills in a concise and understandable manner.
By Sambaiah Sammeta, Sukumar Chillakuru
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Oracle 9i PL/SQL: A Developer's GuideIn addition to providing developers with detailed coverage of the PL/SQL 9i language, the author of this text covers the techniques of using PL/SQL 9i for server-side applications and provides the methodology for implementing robust applications.
By Bulusu Lakshman
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Oracle ADF Survival Guide: Mastering the Application Development FrameworkEnabling experienced developers to rapidly become productive with Oracle's strategic application development tool, ADF, this book ensures that you can quickly build modern, user-friendly applications that will be easy to re-use, expand, and maintain.
By Sten Vesterli
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Oracle and MySQL: A Practical ApproachEnriched with key concepts and code illustrations, this example-driven guide for beginners and intermediates explains database basics, then focuses on Oracle and the important concepts to work with MySQL database.
By B. Mohamed Ibrahim
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Oracle and PL/SQL Recipes: A Problem-Solution ApproachIdeal for the busy professional who just needs to get the job done, this cookbook takes a task-oriented approach to PL/SQL programming that lets you quickly look up a specific task and see the pattern for a solution.
By Josh Juneau, Matt Arena
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Oracle APEX 4.0 CookbookA practical reference guide to Apex development, this book enables you to create APEX web applications and to implement features with immediately usable recipes that unleash the powerful functionality of Oracle APEX 4.0.
By Marcel van der Plas, Michel van Zoest
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Oracle Application Express Administration: For DBAs and DevelopersDesigned to help you succeed in managing Oracle Application Express (APEX) environments, this book focuses on creating the right combination of scalability, high-availability, backup and recovery, integrity, and resource control.
By Francis Mignault, Luc Demanche
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Oracle Applications DBA Field GuideContaining tips and techniques for administering the highly complex Oracle E-Business Suite, this book provides scripts, notes, and references that will enable you to make a real impact on the ease and efficiency of your day-to-day administrative tasks.
By Elke Phelps, Paul Jackson
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Oracle BI 11g: Create Analyses & DashboardsTeaching the concepts, methods and techniques for building sophisticated data analytic modules, this text offers an exhaustive, step-by-step guide through the powerful features of the Oracle Business Intelligence (BI) product suite.
By Sideris Courseware Corporation
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Oracle Big Data HandbookHelping readers understand the value of a comprehensive big data strategy, this Oracle Press guide provides complete coverage of Oracle's comprehensive, integrated set of products for acquiring, organizing, analyzing, and leveraging unstructured data.
By Tom Plunkett, et al.
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Oracle Business Intelligence and Essbase Solutions GuideUsing case studies throughout, this book highlights the practical aspects of using Oracle Essbase and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution.
By Lakshman Bulusu, Rosendo Abellera
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Oracle Case Management SolutionsTranslating case management from a business problem perspective into appropriate Oracle product usage, this book covers the key Oracle technologies that support case management solution components, and explains how to conceptualize and implement quality case management solutions with these products.
By Joop Koster, Léon Smiers, Manas Deb, Prasen Palvankar
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Oracle Core: Essential Internals for DBAs and DevelopersFeaturing proven content from a world-renowned performance and troubleshooting expert, this practical book provides just the essential information about Oracle Database internals that every database administrator needs for troubleshooting-no more, no less.
By Jonathan Lewis
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Oracle Database 10g SQLThis comprehensive text explains how to use the latest Oracle Database 10g features, how to perform complex calculations using analytic functions, and how to use large objects to store character and binary data.
By Jason Price
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Oracle Database 10g: Administration IAimed at Oracle database administrators, this courseware training guide will allow the reader to gain the skills necessary for basic day-to-day administration of an Oracle10g database.
By Sideris Courseware Corporation
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Oracle Database 10g: Program With PL/SQL, Part IIValuable to all Oracle professionals, this Oracle 10g courseware training guide book will consider grammar, syntax and benefits of using the PL/SQL language within an Oracle database environment.
By Sideris Courseware Corporation
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Oracle Database 11g PL/SQL ProgrammingWith full coverage of the latest features and tools, this comprehensive guide lays out each topic alongside detailed explanations, cut-and-paste syntax examples, and real-world case studies.
By Michael McLaughlin
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Oracle Database 11g PL/SQL Programming WorkbookFeaturing hands-on exercises, extensive examples, and real-world projects, this Oracle Press guide covers all the latest features and enhancements of PL/SQL so you can master the language.
By John M. Harper, Michael McLaughlin
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Oracle Database 11g R2: Advanced PL/SQL Programming & TuningWritten for senior application developers, this Oracle 11g courseware training guidebook will give attention to three fundamental pillars of effective implementation of PL/SQL applications.
By Sideris Courseware Corporation
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Oracle Database 11g R2: Encryption & Advanced Data SecurityThreats to data security abound and are increasing in sophistication and frequency. This book considers how encryption technology should, and should not, be employed within an Oracle database environment in response to known threats and risks.
By Sideris Courseware Corporation
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Oracle Database 11g R2: PL/SQL Fundamentals IFor application designers and developers, database administrators, as well as business users and non-technical senior end-users, this book provides an introduction to the PL/SQL database programming language, based upon the latest features available with the Oracle database.
By Sideris Courseware Corporation
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Oracle Database 11g R2: PL/SQL Fundamentals II - Develop Program UnitsHelpful to application designers and developers, as well as database administrators, this Oracle 11g courseware training guide book will equip students to develop database server-side PL/SQL program units within an Oracle database.
By Sideris Courseware Corporation
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Oracle Database 11g R2: SQL Fundamentals IProviding an introduction to the PL/SQL database programming language, based upon the latest features available with the Oracle database, this book discusses syntax, structure and features of the language in the context of database applications and programming.
By Sideris Courseware Corporation
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Oracle Database 11g R2: SQL Fundamentals IIWhether you are an Oracle professional preparing for the certification exams, or you are already experienced in SQL and wish to become acquainted with the unique and advanced features of Oracle SQL, this course book will remain a valuable reference for years to come.
By Sideris Courseware Corporation
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Oracle Database 11g Release 2 High Availability: Maximize Your Availability with Grid Infrastructure, RAC and Data GuardUsing the detailed information in this Oracle Press guide, you'll discover how to grid-enable your IT framework, roll out Oracle Real Application Clusters, maintain standby databases, and deploy Oracle Flashback.
By Bill Burton, Bryan Vongray, Scott Jesse
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Oracle Database 11g Release 2 Performance Tuning Tips & TechniquesFilled with real-world case studies and best practices, this Oracle Press guide details the latest monitoring, troubleshooting, and optimization methods so you can systematically identify and eliminate database performance problems.
By Richard J. Niemiec
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Oracle Database 11g SQLExplaining the very latest SQL features and tools, performance optimization techniques, advanced queries, Java support, and XML, this valuable guide demonstrates how to access Oracle databases through SQL statements and construct PL/SQL programs.
By Jason Price
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Oracle Database 12c DBA HandbookThoroughly updated to cover the new features and utilities, including the multitenant architecture, Oracle Database In-Memory option, and cloud enhancements, this Oracle Press guide will show you how to successfully manage a highly available, robust, secure, and extensible Oracle enterprise database environment.
By Bob Bryla
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Oracle Database 12c New FeaturesAuthored by Master Principle Database Expert, Oracle, and Oracle ACE Robert G. Freeman, this Oracle Press guide describes the myriad new and enhanced capabilities available in the latest Oracle Database release, and presents everything you need to get up and running quickly on Oracle Database 12c.
By Robert G. Freeman
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Oracle Database 12c Oracle RMAN Backup & RecoveryPresenting the easiest, fastest, and most effective methods of deploying RMAN in Oracle Database environments of any size, this guide explains how to generate reliable archives and carry out successful system restores, and features full details on cloud computing, report generation, performance tuning, and security.
By Matthew Hart, Robert G. Freeman
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Oracle Database 12c Performance Tuning Recipes: A Problem-Solution ApproachProviding proven solutions to real-life Oracle performance problems with relevant background and theory to support each solution, this resource is a ready reference for database administrators in need of immediate help with performance issues relating to Oracle Database.
By Bill Padfield, Darl Kuhn, Sam R. Alapati
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Oracle Database 12c PL/SQL Advanced Programming TechniquesDemonstrating how to build robust database-centric PL/SQL applications quickly and effectively, this Oracle Press Guide shows you how to write and deploy Java libraries inside Oracle Database 12c, use the utl_file and DBMS_SCHEDULER packages, and create external tables and external procedures. Application security, performance tuning, and Oracle Database In-Memory.
By John Harper, Michael McLaughlin
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Oracle Database 12c PL/SQL ProgrammingFilled with detailed examples and expert strategies from an Oracle ACE, this comprehensive Oracle Press guide explains how to retrieve and process data, write PL/SQL statements, execute effective queries, incorporate PHP and Java, and work with dynamic SQL.
By Michael McLaughlin
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Oracle Database 12c Release 2 MultitenantHelping you govern a scalable, extensible, and highly available enterprise database environment, this practical guide shows, step-by-step, how to deploy and manage multitenant configurations across IT frameworks of all types and sizes.
By Anton Els, Franck Pachot, Vít Špinka
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Oracle Database 12c Release 2 New FeaturesDescribing the myriad new and enhanced capabilities available in the latest Oracle Database release, this detailed guide provides everything you need to know to get up and running quickly on Oracle Database 12c Release 2.
By Bob Bryla, Robert G. Freeman
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Oracle Database 12c Release 2 Performance Tuning Tips and TechniquesFilled with real-world case studies and best practices, this essential resource details the latest monitoring, troubleshooting, and optimization methods and includes coverage on testing, reporting, and security enhancements.
By Richard J. Niemiec
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Oracle Database 12c Release 2 Real Application Clusters Handbook: Concepts, Administration, Tuning & TroubleshootingThrough clear instruction and detailed examples, this comprehensive guide teaches how to build, configure, and maintain a dynamic enterprise computing infrastructure.
By K. Gopalakrishnan, Sam R. Alapati
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Oracle Database 12C Release 2 Testing Tools and Techniques for Performance and ScalabilityUsing step-by-step instruction and best practices, this book clearly explains how to identify, investigate, and resolve performance issues and will help you seamlessly transition to Oracle Database 12c Release 2 and achieve peak performance
By Bert Scalzo, Deiby Gómez, Jim Czuprynski
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Oracle Database 12c SecurityAuthored by renowned experts from Oracle's National Security Group, this Oracle Press guide provides proven techniques for designing, implementing, and certifying secure Oracle Database systems in a multitenant architecture.
By David Knox, Scott Gaetjen, William Maroulis
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Oracle Database 12c SQLOffering complete coverage of the latest database features and techniques, and containing everything you need to know to master SQL, this Oracle Press guide will teach you how to access Oracle databases through SQL statements and construct PL/SQL programs.
By Jason Price
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Oracle Database 12c: Install, Configure & Maintain Like a ProfessionalFilled with easy-to-follow tutorials, this Oracle Press guide details core database concepts, the role of the administrator, and enterprise database capabilities, and walks you through database configuration, administration, programming, backup and recovery, and high availability.
By Ian Abramson, Michael Abbey, Michael Corey, Michelle Malcher
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Oracle Database 12c: Resource ManagerApplicable for self-study, live classroom instruction, virtual training, and professional certification exam preparation, this step-by-step guide provides conceptual background information on the advantages of Oracle Database 12c Resource Manager feature over other resource management systems.
By Sideris
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Oracle Database 12c: The Complete ReferenceOffering complete coverage of installation, configuration, tuning, and administration, this authoritative Oracle Press guide demonstrates how to build and populate Oracle databases, perform effective queries, design applications, and secure your enterprise data.
By Bob Bryla, Kevin Loney
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Oracle Database 12c: The SchedulerExamining how the Oracle Database Scheduler compares with other scheduling systems, including the Oracle Enterprise Manager 12c Cloud Control job system, this training guide explores advanced capabilities including integration with the Oracle Database Resource Manager, building sophisticated scheduling systems using job classes, windows and other object components, and employing a file watcher that is especially useful in a data warehouse environment.
By Sideris
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Oracle Database Administration for Microsoft SQL Server DBAsIllustrating each technique with clear explanations, examples, and comparison tables, this comprehensive Oracle Press guide demonstrates how to use your SQL Server experience to set up and maintain a high-performance Oracle Database environment.
By Michelle Malcher
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Oracle Database Application Security: With Oracle Internet Directory, Oracle Access Manager, and Oracle Identity ManagerIncluding real examples of the types of threats you may encounter, this book will teach you about database security and how to secure your database against these threats.
By Osama Mustafa, Robert P. Lockard
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Oracle Database Cloud Cookbook with Oracle Enterprise Manager 13c Cloud ControlTeaching cutting-edge techniques for building, configuring, and managing a secure private database cloud with Oracle Enterprise Manager 13c, this hands-on Oracle Press guide thoroughly explains how to architect, configure, and manage every component in a private/hybrid database cloud lifecycle.
By Porus Homi Havewala
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Oracle Database Exadata Cloud Service: A Beginner's GuideDesigned for easy learning, this hands-on book features real-world examples, detailed illustrations, and step-by-step instructions to quickly get you up and running on Oracle Database Exadata Cloud Service.
By Brian Spendolini
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Oracle Database Performance TuningLearn about performing advanced tasks, such as tuning and monitoring the Oracle database and the input/output performance. Tuning of low-level internals, such as memory, network, and CPU usage, is also addressed.
By
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Oracle Database Transactions and Locking Revealed: Building High Performance Through Concurrency, Second EditionAccess much-needed information for building scalable, high-concurrency applications and deploying them against the Oracle Database. This new edition is updated to be current with Oracle Database 19.
By Darl Kuhn, Thomas Kyte
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Oracle Database Upgrade and Migration Methods: Including Oracle 12c Release 2If it's time to upgrade Oracle Database to version 12c, you will need to choose the appropriate method while considering issues such as downtime. This book explains all of the available upgrade and migration methods so you can choose the one that suits your environment.
By K M Krishnakumar, Nassyam Basha, Y V Ravikumar
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Oracle Database Upgrade, Migration & Transformation Tips & TechniquesBased on the expert authors' real-world experience, this Oracle Press guide provides best practices for migrating between different operating systems and platforms, transforming existing databases to use different storage or enterprise systems, and upgrading databases from one release to the next.
By Edward Whalen, Jim Czuprynski
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Oracle DBA Mentor: Succeeding as an Oracle Database AdministratorHelping new Oracle database administrators get off the ground running, this book will assist you with developing the ability to think on your feet and move focus in an instant from arcane syntax details to broad, corporate issues.
By Brian Peasland
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Oracle E-Business Suite 11i: Implementing Core Financial ApplicationsBy walking you through the process of the Oracle 11i upgrade/conversion and providing a tutorial path for navigating financials, this guide will help you quickly master the program and turn it into one of your business's most powerful back-office tools.
By Susan Foster
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Oracle E-Business Suite 12 Tuning Tips & TechniquesIncluding best practices for maintaining overall application health, this Oracle Press guide offers detailed coverage of the versatile tools, features, and services available for managing application reliability, availability, performance, optimization, and governance.
By Richard Bingham
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Oracle E-Business Suite Development and Extensibility HandbookLaying out each tool alongside reusable code and step-by-step examples, this comprehensive guide will help transform your Oracle E-Business Suite infrastructure to suit enterprise requirements.
By Anil Passi, Vladimir Ajvaz
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Oracle E-Business Suite Financials AdministrationComprehensive guide managing, customizing, and tuning this key component of the Oracle Applications Suite. Learn how to install and update Oracle Financials, apply various patches, and much more using this essential resource.
By Shankaran Iyer
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Oracle E-Business Suite Financials Handbook, Third EditionOffering up-to-date coverage of the latest applications and modules, this Oracle Press guide thoroughly explains how to deploy custom Web applications, automate tax reporting, and incorporate Oracle Fusion Applications.
By Ben Prusinski, Gustavo Gonzalez
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Oracle E-Business Suite Manufacturing & Supply Chain ManagementThis book explains how to implement the planning, engineering, pricing, order fulfillment, and inventory management components of Oracle Manufacturing and Supply Chain.
By Bastin Gerald, Dan Natchek, Nigel King
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Oracle E-Business Suite R12 Supply Chain Management: Drive Your Supply Chain Processes with Oracle E-Business Suite R12 Supply Chain Management to Achieve Measurable Business GainsBacked by ample screenshots and clear explanation, this book will guide you to successfully configure and implement the various Oracle EBS modules for supply chain management.
By Muneeb A. Siddiqui
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Oracle E-Business Suite R12.x HRMS: A Functionality GuideBy introducing Oracle Application E-Business Suite, its architecture, and how to set up the preliminary components such as roles, groups, and profile options, this book presents a thorough knowledge of implementing a fully functional HR system based on strategic business needs, along with a detailed understanding of the key functions and benefits of Oracle HCM.
By Pravin S. Ingawale
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Oracle Enterprise Manager 12c Command-Line InterfaceChock full of ready-made scripting examples contributed by the authors and leading members of the community, this book shows how to use Enterprise Manager's powerful scripting language to automate your database administration work and save time by scripting routine tasks, and then executing those scripts across collections of databases and instances in your environment.
By Kellyn Pot’Vin, Ray Smith, Seth Miller
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Oracle Enterprise Manager Cloud Control 12c Deep DiveHelping you achieve peak database efficiency and derive unprecedented value from your corporate assets, this Oracle Press guide thoroughly explains best practices for deployment, administration, and monitoring an end-to-end cloud computing solution.
By Edward Whalen, Matthew Burke, Michael New
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Oracle Exadata Recipes: A Problem-Solution ApproachTaking an example-based, problem/solution approach, this authoritative guide shows you how to size, install, configure, manage, monitor, optimize, and migrate Oracle database workloads on and to the Oracle Exadata Database Machine.
By John Clarke
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Oracle Exadata Survival GuideTaking a highly practical approach, not diving too deeply into the details, but giving you just the right depth of information to quickly transfer your skills to Oracle's important new platform, this guide helps you navigate the ins and outs of the Exadata platform, demystifying this amazing appliance and its exceptional performance.
By David Fitzjarrell, Mary Mikell Spence
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Oracle Fusion Middleware 11g: WebLogic & BI Server Architecture & InstallationFeaturing a workshop setup, this text will assist you in learning and using one of the most exciting software environments available today: the Oracle BI Enterprise Edition data analytics suite and the Oracle Fusion Middleware WebLogic Server.
By Sideris Courseware Corporation
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Oracle Global Data Services for Mission-critical Systems: Maximizing Performance and Reliability in Complex Enterprise EnvironmentsNew to Oracle Global Data Services? You've come to the right place. This book will show you how to leverage the power of Oracle GDS to ensure runtime load balancing, region affinity, replication lag tolerance-based workload routing, and inter-database service failover.
By Mariami Kupatadze, Sambaiah Sammeta, Y V Ravi Kumar
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Oracle GoldenGate 11g HandbookShowing you how to use Oracle GoldenGate step-by-step, this authoritative book features hands-on workshops that will explain how to install, configure, and implement this high-performance application.
By Robert G. Freeman
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Oracle GoldenGate 11g Implementer's Guide: Design, Install, and Configure High-Performance Data Replication Solutions Using Oracle GoldenGateOffering detailed real-life examples to encourage additional thought and discussion, this comprehensive, practical book delivers all the answers to your questions in a clear, concise style, allowing you to progress effectively in a timeline-driven environment.
By John P. Jeffries
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Oracle High Availability, Disaster Recovery, and Cloud Services: Explore RAC, Data Guard, and Cloud TechnologyShowing you how to work with Oracle database's high-availability and disaster-management technologies, this book explores all the high-availability features of Oracle database, how to configure them, and best practices.
By Bal Mukund Sharma, Konstantin Kerekovski, Krishna Kumar K M, Nassyam Basha, Y V Ravi Kumar
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Oracle High-Performance SQL TuningImprove Database Performance by Tuning SQL Statements
By Donald K. Burleson
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Oracle Identity Management: Governance, Risk, and Compliance Architecture, Third EditionBridging the gap between theory and practicality, this is a guide for readers struggling with the challenge of meeting regulatory compliance pressures while embarking on the path of process and system remediation.
By Marlin B. Pohlman
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Oracle Incident Response and Forensics: Preparing for and Responding to Data BreachesDiscussing forensics in relation to Oracle Database, this book provides the tools and techniques needed to investigate a breach, and the measures to put in place to make it harder for an attack to be successful in the future.
By Pete Finnigan
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Oracle Internals: Tips, Tricks, and Techniques for DBAsProvides a valuable compilation of articles,pointers and practices from the Oracle Internal newsletter.
By Donald K. Burleson (ed)
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Oracle NoSQL Database: Real-Time Big Data Management for the EnterpriseIllustrated with real-world examples, this Oracle Press guide shows you how to take full advantage of this cost-effective solution for storing, retrieving, and updating high-volume, unstructured data.
By Aalok Muley, Ashok Joshi, Chaitanya Kadaru, Maqsood Alam
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Oracle PL/SQL For DummiesGiving you the core information that every PL/SQL developer should know, this book offers many examples of good coding practice and warns you about what to avoid when writing code.
By Michael Rosenblum, Paul Dorsey
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Oracle PL/SQL Performance Tuning Tips & TechniquesIncluding real-world examples and best practices throughout, this thorough resource describes the discovery process required to pinpoint performance problems and provides measurable and repeatable test cases.
By Michael Rosenblum, Paul Dorsey
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Oracle PL/SQL: Expert Techniques for Developers and Database AdministratorsThis title will be removed from the Skillsoft library on May 24, 2024.
By Lakshman Bulusu
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Oracle Reports 10g: Build Reports: Oracle Curriculum-Oracle Developer Suite (ODS) Forms & Reports Section, Revision 11Presented in an intensive workshop format, this courseware training guide covers the complex topics of object hierarchies, frame hierarchies, field-level control of report output and many other subjects.
By Sideris Courseware Corporation
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Oracle RMAN Database DuplicationTaking a deep dive into RMAN's duplication feature set, this resource is your thorough guide to providing amazing business value to your organization by way of fast and easy provisioning of database duplicates in service of development and testing projects.
By Darl Kuhn
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Oracle RMAN for Absolute BeginnersOffering a gentle introduction to the use of Oracle's Recovery Manager software, this concise book focuses on the core use cases, building your confidence in the tool, and in your ability to recover from lost database files, and even to recover your entire database should that become necessary.
By Darl Kuhn
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Oracle Siebel CRM 8 Installation and Management: Install, Configure, and Manage a Robust Customer Relationship Management System Using Siebel CRMYour safe vessel for navigating the deep waters of Siebel CRM, this practical book will guide you through the installation of Siebel server, client and third-party reporting software on Microsoft Windows and Linux.
By Alexander Hansal
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Oracle SOA Suite 12c HandbookAuthored by an Oracle ACE director, this detailed Oracle Press guide will show you how to design, implement, manage, and maintain a highly flexible service-oriented computing infrastructure across your enterprise.
By Lucas Jellema
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Oracle Solaris and Veritas Cluster: An Easy-Build GuideIn simple steps that can be followed by users having little knowledge of clustering, this book provides snapshots that will help you set up Solaris virtual hosts under VirtualBox and implement Veritas clustering across two virtual hosts that can be implemented on a desktop or laptop.
By Vijay Shankar Upreti
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Oracle SQL Developer 2.1Covering SQL Developer fundamentals as well more intermediate and advanced topics, this book uses in-depth explanation and detailed examples to help you get the most out of Oracle SQL Developer.
By Sue Harper
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Oracle SQL Developer Data Modeler for Database Design MasteryIn this practical Oracle Press guide, Oracle ACE Director Heli Helskyaho explains the process of database design using Oracle SQL Developer Data Modeler the powerful, free tool that flawlessly supports Oracle and other database environments, including Microsoft SQL Server and IBM DB2.
By Heli Helskyaho
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Oracle SQL Developer HandbookShowing you, step-by-step, how to put every feature of this new and exciting deployment tool to work for you, this book will enable you to enhance productivity and simplify database development tasks using Oracle SQL Developer.
By Dan Hotka
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Oracle SQL Revealed: Executing Business Logic in the Database EngineProviding examples showing the power of Oracle SQL applied to real-life tasks, this in-depth resource will help you find competitive advantage through built-in features that are commonly overlooked
By Alex Reprintsev
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Oracle SQL Tuning with Oracle SQLTXPLAINPresenting a practical guide to SQL tuning the way Oracle's own experts do it, this ideal resource will show you how to tune even the most complex SQL, and you'll learn to do it quickly, without the huge learning curve usually associated with tuning as a whole.
By Stelios Charalambides
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Oracle SQL: A Beginner's TutorialBy providing exercises and examples of real world applications, this informative reference enables developers to master the skills necessary to perform intermediate tasks in SQL right away.
By Djoni Darmawikarta
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Oracle SQL: A Beginner's Tutorial, Second EditionBy providing exercises and examples of real world applications, this informative reference enables developers to master the skills necessary to perform intermediate tasks in SQL right away.
By Djoni Darmawikarta
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Oracle SQL: The Best SQL Book in the GalaxyFrom the basics to advanced levels of Oracle SQL, this must-read book educates readers with numerous SQL examples and explanations, and reveals clever tricks and examples to provide an expert level of learning.
By Leona Coffing, Tom Coffing
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Parallel Processing with ABAP Objects: Implementation and TestingFor complex ABAP applications, processing data in parallel saves time and resources. In this E-Bite, you'll learn how to design and create test infrastructure for parallel processing.
By Winfried Schwarzmann
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Pentaho Solutions: Business Intelligence and Data Warehousing with Pentaho and MySQLCovering all components of the Pentaho BI Suite, this all-in-one resource will show you how to install, use, and maintain Pentaho and offers plenty of background discussion that will bring you thoroughly up to speed on BI and Pentaho concepts.
By Jos van Dongen, Roland Bouman
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PeopleSoft for the Oracle DBA, First EditionFor any Oracle DBA charged with the maintenance of a PeopleSoft system, this manual offers a range of techniques including indexing, implementing DDL, managing tablespaces, and fixing low-performing SQL queries.
By David Kurtz
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PeopleSoft for the Oracle DBA, Second EditionProviding techniques to troubleshoot and resolve performance problems, this comprehensive book is a must-read guide for any Oracle Database administrator working in support of a PeopleSoft environment.
By David Kurtz
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PHP & MySQL For Dummies, 4th EditionPacked with useful and understandable code examples for Web site creators who are not professional programmers, this book shows you what Web designers need to know to create dynamic, database-driven Web sites.
By Janet Valade
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PHP & MySQL in Easy Steps, 2nd EditionWritten in an easy-to-follow style, this book uses examples to teach the user how to write PHP server-side scripts and how to make MySQL database queries.
By Mike McGrath
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PHP 5/MySQL Programming for the Absolute BeginnerThis title will be removed from the Skillsoft library on May 24, 2024.
By Andy Harris
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PHP 6/MySQL Programming for the Absolute BeginnerThis title will be removed from the Skillsoft library on May 24, 2024.
By Andrew B. Harris
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PHP and MySQL 24-Hour TrainerIncluding step-by-step lessons for using PHP and MySQL, this unique book is ideal reading for anyone who wants to go beyond HTML/CSS in order to provide clients with the most dynamic web sites possible.
By Andrea Tarr
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PHP and MySQL Recipes: A Problem-Solution Approach, Second EditionIncluding countless pieces of useful code that you can copy and paste into your own applications, this invaluable guide will keep you on the cutting edge of PHP development, ahead of the competition, and will give you all the answers you need, when you need them.
By Frank M. Kromann
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PHP, MySQL & JavaScript All-in-One for DummiesWhether you're brand-new to programming or you want to brush up on specific areas, this book will take you step-by-step through the essentials of building your own web development environment, as well as coding the front and back ends of professional websites.
By Richard Blum
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PHP, MYSQL and Apache ServerBeginning with an introduction to PHP, then moving to more advanced features such as language basics, arrays and functions, web forms, connecting to databases, and much more, this book is ideal for beginner graphic designers, bloggers, and other web crafters who want a thorough but non-intimidating way to understand the code that makes websites dynamic.
By Shashi Banzal
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PHP, MySQL, JavaScript & HTML5 All-in-One for DummiesHelping you to get the basics on four key web programming tools, this one-stop guide addresses how PHP, MySQL, JavaScript, and HTML5 are vital tools for creating dynamic, database-driven websites and are especially important for e-commerce sites.
By Janet Valade, Steve Suehring
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Plant Maintenance with SAP S/4HANA: Business User GuideYour company is now on SAP S/4HANA so how do you run your plant maintenance operations on this new system? Between these pages, you'll find the detailed, step-by-step instructions you need for your routine (and non-routine) functions.
By Karl Liebstückel
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Plant Maintenance with SAP: Business User Guide, 4th Edition 2017With best practices and real-world tips, this book dives into the technical underpinning of SAP PM, from material and plant maintenance assemblies to linear asset management.
By Karl Liebstückel
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PostGIS in Action, Second EditionIncluding numerous examples and recipes throughout, this book catalogs many of the common spatial problems the authors have come across and various strategies for solving them with PostGIS.
By Leo S. Hsu, Regina O. Obe
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PostGIS in Action, Third EditionThis book shows you how to solve real-world geodata problems. You'll go beyond basic mapping, and explore custom functions for your applications. Inside this fully updated edition, you'll find coverage of new PostGIS features such as PostGIS Window functions, parallelization of queries, and outputting data for applications using JSON and Vector Tile functions.
By Leo S. Hsu, Regina Obe
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PostgreSQL 15 Cookbook: Efficient Data Management with 100+ RecipesPostgreSQL 15 is a powerful, open-source database system known for its reliability, flexibility, and advanced features. It stores and manages data efficiently, making it ideal for everything from personal projects to large-scale applications.
By Mohammad Samsad Hussain
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PostgreSQL 8 for WindowsFilled with real-world examples and step-by-step instructions, this hands-on guide gives you detailed advice on installing, configuring, and using PostgreSQL 8 on Windows platforms.
By Richard Blum
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PostgreSQL Configuration: Best Practices for Performance and SecurityObtain all the skills you need to configure and manage a PostgreSQL database.
By Baji Shaik
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PostgreSQL InstantCode: Creating Web Applications with PostgreSQLDevelop database-driven applications based on PostgreSQL, with different technologies, such as Perl, Visual Basic .NET, ASP, and C, to implement server-side business logic.
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PostgreSQL Query Optimization: The Ultimate Guide to Building Efficient QueriesWrite optimized queries. This book helps you write queries that perform fast and deliver results on time. You will learn that query optimization is not a dark art practiced by a small, secretive cabal of sorcerers.
By Anna Bailliekova, Boris Novikov, Henrietta Dombrovskaya
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PostgreSQL Query Optimization: The Ultimate Guide to Building Efficient Queries, Second EditionThis book helps you write queries that perform fast and deliver results on time.
By Anna Bailliekova, Boris Novikov, Henrietta Dombrovskaya
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PP/DS with SAP S/4HANA, 2nd Edition, Updated and Revised Edition 2023Looking to tap into advanced planning and scheduling? Then this is the book for you! Get detailed guidance for setting up and using PP/DS in SAP S/4HANA.
By Mahesh Babu MG
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Practical Guide to Using SQL in OracleProviding a systematic approach to learning SQL in Oracle, this step-by-step book includes examples that can be run using Oracle that readers will be able to perform to gain hands-on experience with Oracle programming.
By Richard Walsh Earp, Sikha Saha Bagui
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Practical Maintenance Plans in SQL Server: Automation for the DBAWith a robust learning pattern of visual aids in combination with explanations and scenarios, this complete guide provides you with the knowledge and tools needed to get comfortable writing your own maintenance plans for any SQL Server database, whether created by you or inherited.
By Bradley Beard
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Practical MongoDB: Architecting, Developing, and Administering MongoDBProviding useful information covering all aspects of the MongoDB platform and how to put it to use practically, this expert resource offers clear guidelines and practical examples for architecting, developing, and deploying applications using the MongoDB platform.
By Navin Sabharwal, Shakuntala Gupta Edward
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Practical Neo4jProviding a working example of a Neo4j-based application using an array of language options, this book guides you through the background and basics of graph databases and gets you quickly up and running with Neo4j, the most prominent graph database on the market today.
By Greg Jordan
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Practical Oracle Database ApplianceProviding a technical resource for system and database administrators, this hands-on book takes you through the components and implementation of the Oracle Database Appliance, and will teach you about architecture, installation, configuration, and reconfiguration.
By Bobby Curtis, et al.
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Practical Oracle E-Business Suite: An Implementation and Management GuideExplaining the rationale for using an Oracle E-Business Suite environment in a business enterprise, this hands-on, real-world guide covers the major technology stack changes from EBS version 11i through R12.2.
By Erman Arslan, Syed Zaheer
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Practical Oracle SQL: Mastering the Full Power of Oracle DatabaseWrite powerful queries using as much of the feature-rich Oracle SQL language as possible, progressing beyond the simple queries of basic SQL as standardized in SQL-92.
By Kim Berg Hansen
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Practical PHP 7, MySQL 8, and MariaDB Website Databases: A Simplified Approach to Developing Database-Driven Websites, Second EditionShowing you how to build interactive, database-driven websites with PHP 7, MySQL 8, and MariaDB, this fully illustrated guide focuses on getting you up and running as quickly as possible with real-world applications.
By Adrian W. West, Steve Prettyman
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Practical SQL Queries for SQL Server 2008 R2Containing over 400 SQL queries you can use to extract meaningful insights from large amounts of data, this book presents powerful techniques for surfacing and delivering actionable business intelligence using SQL.
By Art Tennick
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Practical SQL: A Beginner's Guide to Storytelling with DataWith exercises and real-world examples in each chapter, this approachable and fast-paced guide will teach even those who have never programmed before all the tools necessary to build powerful databases and access information quickly and efficiently.
By Anthony DeBarros
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Practical SQL: A Beginner's Guide to Storytelling with Data, 2nd EditionPractical SQL is an approachable and fast-paced guide to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases.
By Anthony DeBarros
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Predictive Accounting with SAP S/4HANAGet one step ahead with this guide to predictive accounting! See how predictive accounting is embedded in SAP S/4HANA with the Universal Journal, and learn how to configure it in your system.
By Uwe Mayer
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Predictive Analytics Using Oracle Data Miner: Develop & Use Data Mining Models in Oracle Data Miner, SQL & PL/SQLCovering topics for the data scientist, Oracle developer, and Oracle database administrator, this insightful guide shows you how to get started with Oracle Data Miner and build Oracle Data Miner models using SQL and PL/SQL packages.
By Brendan Tierney
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Preparing Your SAP ERP System for an SAP S/4HANA MigrationMaking the switch to SAP S/4HANA? Ensure a smooth transition with this thorough guide to readying your SAP ERP system for migration.
By Vasavi Gottumukkala
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Pricing and the Condition Technique in SAP ERPWrap your head around pricing and the condition technique with this nuts-and-bolts guide.
By Manfred Hirn, Ursula Becker, Werner Herhuth
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Pro Apache Hadoop, Second EditionTaking you quickly to the seasoned pro level on the hottest cloud-computing framework, this book covers everything you need to build your first Hadoop cluster and begin analyzing and deriving value from your business and scientific data.
By Jason Venner, Madhu Siddalingaiah, Sameer Wadkar
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Pro Couchbase Development: A NoSQL Platform for the EnterpriseAfter reading and using this hands-on guide for developing with Couchbase, you'll be able to build complex enterprise, database and cloud applications that leverage this powerful platform.
By Deepak Vohra
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Pro Couchbase Server, Second EditionPresenting a hands-on guide for developers and administrators who want to use the power and flexibility of Couchbase Server 4.0 in their applications, this book shows what is possible and helps you take full advantage of Couchbase Server and all the performance and scalability that it offers.
By David Ostrovsky, Mohammed Haji, Yaniv Rodenski
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Pro Data Backup and RecoveryWhether you are using NetBackup, CommVault, or some other backup software, this book discusses new developments in data protection as well as the impact of single-instance storage upon backup infrastructures, and will give you the information you need to keep your data safe and available.
By Steven Nelson
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Pro HadoopWritten from the perspective of a principal engineer with down-in-the-trenches knowledge of what to do wrong with Hadoop, this book shows how to avoid the common, expensive first errors that everyone makes with creating their own Hadoop system.
By Jason Venner
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Pro Hibernate and MongoDBShowing you how to use and integrate Hibernate and MongoDB, this thorough guide offers you experience from two case studies that give you possible frameworks or templates that you can apply to your own specific application or cloud application building context.
By Anghel Leonard
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Pro Java Clustering and Scalability: Building Real-Time Apps with Spring, Cassandra, Redis, WebSocket and RabbitMQUsing a dive-in case study of a real-time scalable chat application under differing scenarios, this book will teach you how to build clustered and scalable Java-based, real-time applications using Spring Framework, Boot, WebSocket, Cassandra, Redis and RabbitMQ.
By Jorge Acetozi
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Book
Pro MongoDB DevelopmentOffering a critical reference for anyone using MongoDB, this thorough resource includes details about the software you need and hands-on examples of working with MongoDB and these technologies so you know exactly what to do, whatever your MongoDB implementation requires.
By Deepak Vohra
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Book
Pro MySQLWhether you're a seasoned MySQL user looking to take your skills to the next level, or a database expert searching for a fast-paced introduction to MySQL's advanced features, this text covers design and development, as well as administration.
By Jay Pipes, Michael Kruckenberg
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Book
Pro MySQL NDB ClusterTeaching you how to create and run a real-time, highly-available, and high-redundancy version of MySQL, this book will help you understand the advantages and disadvantages of the MySQL NDB Cluster solution, and when MySQL NDB Cluster is the right choice.
By Jesper Wisborg Krogh, Mikiya Okuno
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Book
Pro Oracle Database 11g RAC on Linux: Installation, Administration, PerformanceWritten by authors well-known for their talent with RAC, this rock-solid guide provides full-life-cycle guidance on implementing Oracle Real Application Clusters in a Linux environment.
By Martin Bach, Steve Shaw
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Book
Pro Oracle Database 12c Administration, Second EditionTaking a results-oriented approach to getting things done, this book gives clear explanations on how to perform critical tasks and weaves in theory where necessary without bogging you down in unneeded detail to lay a foundation upon which to build a senior level of expertise.
By Darl Kuhn
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Book
Pro Oracle Database 18c Administration: Manage and Safeguard Your Organization's Data, Third EditionTakin a modern approach to database administration, this book provides information and techniques for keeping an Oracle database stable and running on-premise, and is fully updated to cover Oracle Database 18c.
By Darl Kuhn, Michelle Malcher
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Book
Pro Oracle Database 23c Administration: Manage and Safeguard Your Organization's Data, Fourth EditionMaster Oracle Database administration in both on-premises and cloud environments. This new edition covers the tasks you'll need to perform to keep your databases stable, tuned, and running.
By Darl Kuhn, Michelle Malcher
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Book
Pro Oracle Fusion Application: Installation and AdministrationOffering an important guide for anyone responsible for installation and ongoing management of an Oracle Fusion Applications, this one-stop resource provides excellent guidance on managing, monitoring, diagnostics, and troubleshooting your environment.
By Tushar Thakker
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Book
Pro Oracle GoldenGate for the DBAIncluding many use-cases and instructions throughout, this book offers in-depth perspective of GoldenGate from an implementer's viewpoint, and provides the components of who, what, why, when, and how in defining the implementation and support of a GoldenGate project.
By Bobby Curtis
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Book
Pro Oracle Identity and Access Management SuitePresenting a process-based approach to implementing Oracle's Identity and Access Management Suite, this book provides real-world implementation examples that make up a valuable resource as you plan and implement the product stack in your own environment.
By Kenneth Ramey
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Book
Pro Oracle SQL Development: Best Practices for Writing Advanced QueriesWrite SQL statements that are more powerful, simpler, and faster using Oracle SQL and its full range of features.
By Jon Heller
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Book
Pro Oracle SQL Development: Best Practices for Writing Advanced Queries, Second EditionPro Oracle SQL Development is for anyone who already knows Oracle SQL and is ready to take their skills to the next level. This book provides a clearer way of thinking about SQL by building sets, and it provides practical advice for using complex features while avoiding anti-patterns that lead to poor performance and wrong results.
By Jon Heller
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Book
Pro Oracle SQL, Second EditionComprehensive and performance-focused, this book will enable you to work at a truly professional level in the Oracle dialect of SQL and will help you master the language, the tools to work effectively with the language, and the right way to think about a problem in SQL.
By Jared Still, Karen Morton, Kerry Osborne, Riyaj Shamsudeen, Robyn Sands
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Book
Pro SQL Database for Windows Azure: SQL Server in the Cloud, Second EditionCovering management, performance, scalability, and troubleshooting, this authoritative reference explains the very latest in Microsoft's fast-moving, cloud platform, showing how to program and administer it in a variety of cloud computing scenarios.
By Herve Roggero, Scott Klein
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Book
Pro SQL Server 2008 Analysis ServicesCovering every aspect of Analysis Services and ancillary technologies to enable you to make the most of SQL Server, this book shows you how to pull data together and present it for reporting and analysis so that it is accessible to business users.
By Guy Fouché, Phili Janus
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Book
Pro SQL Server 2008 ReplicationA comprehensive guide for experienced users of SQL Server as well as new users, this book uses real-life scenarios to examine the detailed configuration and the internal workings of the different replication types.
By Sujoy Paul
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Book
Pro SQL Server 2012 Integration ServicesExplaining how to take advantage of the powerful extract, transform, and load (ETL) platform included with Microsoft SQL Server 2012, this book gives you the information you'll need to build powerful, scalable, and efficient ETL solutions at any level of complexity.
By David Dye, Francis Rodrigues, Michael Coles
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Book
Pro SQL Server 2012 PracticesPresenting an anthology of high-end wisdom from accomplished database administrators who are pushing the performance and feature envelope of Microsoft SQL Server 2012, this book will help you deliver the most value for your company's investment in Microsoft's flagship database system.
By Bradley Ball, et al.
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Book
Pro SQL Server 2019 Administration: A Guide for the Modern DBA, Second EditionCovering all that practicing database administrators need to know to get their daily work done, this comprehensive book includes coverage of new features such as Memory-optimized TempDB Metadata, and Always Encrypted with Secure Enclaves.
By Peter A. Carter
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Book
Pro SQL Server 2019 Wait Statistics: A Practical Guide to Analyzing Performance in SQL Server, Second EditionHere is a practical guide for analyzing and troubleshooting SQL Server performance using wait statistics.
By Enrico van de Laar
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Book
Pro SQL Server 2022 Administration: A Guide for the Modern DBA, 3rd EditionThis book teaches you how to make the most of new SQL Server 2022 functionality, including integration for hybrid cloud scenarios.
By Peter A. Carter
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Book
Pro SQL Server 2022 Wait Statistics: A Practical Guide to Analyzing Performance in SQL Server and Azure SQL Database, 3rd EditionUse this practical guide to analyze and troubleshoot SQL Server performance using wait statistics. You'll learn to identify precisely why your queries are running slowly. And you'll know how to measure the amount of time consumed by each bottleneck so you can focus attention on making the largest improvements first.
By Enrico van de Laar, Thomas LaRock
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Book
Pro SQL Server AdministrationBringing SQL Server administration into the modern era with strong coverage of hybrid cloud environments, In-Memory OLTP, and installation on Server Core, this comprehensive guide for today's DBA helps you to administer the new and key areas of SQL Server, including Columnstore indexes and the In-Memory OLTP feature set introduced in 2014.
By Peter A Carter
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Book
Pro SQL Server Internals, Second EditionProviding a solid road map for understanding the depth and power of the SQL Server database server, this detailed resource teaches you how to get the most from the platform and how to keep your databases running at the level needed to support your business.
By Dmitri Korotkevitch
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Book
Pro SQL Server on Linux: Including Container-Based Deployment with Docker and KubernetesNo database professional managing or developing SQL Server on Linux will want to be without this deep and authoritative guide by one of the most respected experts on SQL Server in the industry.
By Bob Ward
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Book
Pro SQL Server Relational Database Design and Implementation: Best Practices for Scalability and Performance, Sixth EditionLearn effective and scalable database design techniques in SQL Server 2019 and other recent SQL Server versions. This book will help you design OLTP databases that are high-quality, protect the integrity of your data, and perform fast on-premises, in the cloud, or in hybrid configurations.
By Louis Davidson
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Book
Pro SQL Server Wait StatisticsWhether you are new to wait statistics or are already familiar with them, this book will help you gain a deeper understanding of how wait statistics are generated and what they can mean for your SQL Server's performance.
By Enrico van de Laar
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Book
Pro T-SQL 2022: Toward Speed, Scalability, and Standardization for SQL Server Developers, 2nd EditionLearn how to write and design simple and efficient T-SQL code. This is a hands-on book that teaches you how to write better T-SQL with examples and straightforward explanations.
By Elizabeth Noble
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Book
Pro T-SQL Programmer's Guide, 4th EditionWith fully functioning examples and source code, as well as step-by-step explanations, and best-practices will steer you down the road to success, this book is your roadmap to success in applying this increasingly important database language to everyday business and technical tasks.
By Jay Natarajan, Michael Coles, Miguel Cebollero
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Book
Pro VS 2005 Reporting using SQL Server and Crystal ReportsOffering a proven methodology for building reporting solutions, this thorough book presents the requirements for a real-world reporting application in a distributed environment, and covers all the phases of development.
By Kevin S. Goff, Rod Paddock
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Book
Procedural Programming with PostgreSQL PL/pgSQL: Design Complex Database-Centric Applications with PL/pgSQLLearn the fundamentals of PL/PGSQL, the programming language of PostgreSQL which is most robust Open Source Relational Database.
By Baji Shaik, Dinesh Kumar Chemuduru
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Book
Procurement with SAP MM: Business User Guide, 2nd Edition 2017Obtain. Acquire. Procure. Get everything you need with this go-to guide to procurement with SAP Materials Management (SAP MM)!
By Luis Castedo, Matt Chudy
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Book
Product Cost Controlling with SAP, 3rd Edition 2016Beginning with a breakdown of how to manage master data and configure settings in SAP CO, this book then explains nitty-gritty details of integrated planning, from creating cost estimates to handling planned costs, actual costs, and final settlements.
By John Jordan
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Book
Product Development with SAP PLMLooking for better control over your product development? With this guide to SAP Product Lifecycle Management (SAP PLM), you'll get in-depth instructions and configuration information for all stages.
By Bernd Daum, Eudes Canuto, Michael Rödel
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Book
Production Planning and Control with SAP ERP, 2nd, Updated and Revised Edition 2016Covering everything from S&OP and MRP to SAP Demand Management and the Early Warning System, this book will help you get your production process to maximum efficiency.
By Jawad Akhtar
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Book
Professional Hadoop SolutionsWith in-depth code examples in Java and XML and the latest on recent additions to the Hadoop ecosystem, this complete resource also covers the use of APIs, exposing their inner workings and allowing architects and developers to better leverage and customize them.
By Alexey Yakubovich, Boris Lublinsky, Kevin T. Smith
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Book
Professional Microsoft SQL Server 2012 AdministrationLoaded with unique tips, tricks, and workarounds for handling the most difficult SQL Server admin issues, this how-to guide deciphers topics such as performance tuning, backup and recovery, scaling and replication, clustering, and security.
By Adam Jorgensen, Brian Knight, Ross LoForte, Steven Wort
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Book
Professional Microsoft SQL Server 2012 Analysis Services with MDX and DAXExploring real-world scenarios to help developers build comprehensive solutions, this authoritative guide is the expert resource you need to build full-scale, multi-dimensional, database applications using Microsoft's new SQL Server 2012 Analysis Services and related tools.
By Denny Guang-Yeu Lee, John Sirmon, Robert M. Bruckner, Ronald Pihlgren, Sivakumar Harinath
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Book
Professional Microsoft SQL Server 2012 Integration ServicesIncluding case studies and tutorial examples to illustrate advanced concepts and techniques, this in-depth book explores how the newest release serves as a powerful tool for performing extraction, transformation, and load operations (ETL).
By Brian Knight, Chris Rock, Erik Veerman, Jessica M. Moss, Mike Davis
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Book
Professional Microsoft SQL Server 2012 Reporting ServicesA must-have guide for the latest updates to the new release of Reporting Services, this authoritative guide is mandatory reading if you are eager to start using the newest version of SQL Server Reporting Services.
By Grant Paisley, Ken Withee, Paul Turley, Robert M. Bruckner, Thiago Silva
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Book
Professional Microsoft SQL Server 2014 Integration ServicesYour ultimate guide to navigating the changes to Microsoft SQL Server Integration Services (SSIS) 2014 and using them to your utmost advantage, this unique resource offers an understanding of SSIS on a fundamental level, and sets you up for success.
By Brian Knight, Chris Rock, Devin Knight, Jessica M. Moss, Mike Davis
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Book
Professional Microsoft SQL Server 2016 Reporting Services and Mobile ReportsOffering step-by step instruction on Microsoft SQL Server 2016, this thorough guide provides a comprehensive lesson in business intelligence (BI), operational reporting and Reporting Services architecture using a clear, concise tutorial approach.
By Paul Turley
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Book
Professional NoSQLProviding guidelines for optimal usage, performance tuning, and scalable configurations, this comprehensive hands-on guide presents fundamental concepts and practical solutions for getting you ready to use NoSQL databases.
By Shashank Tiwari
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Book
Professional SQL Server 2012 Internals and TroubleshootingPacked with expert advice and real-world examples, this hands-on resource shows you how to troubleshoot SQL Server 2012 based on a thorough understanding of SQL Server and Windows internals.
By Christian Bolton
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Book
Professional SQL Server 2014 AdministrationMicrosoft's SQL Server 2014 update means big changes for database administrators, and you need to get up to speed quickly because your methods, workflow, and favorite techniques will be different from here on out. This book is your comprehensive guide to working with the new environment.
By Adam Jorgensen, Bradley Ball, Brian Knight, Ross LoForte, Steven Wort
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Book
Profitability Analysis with SAP S/4HANA, 2nd Edition, Updated and Revised 2021Whether you're running account-based or costing-based CO-PA, this is your one-stop shop for profitability analysis with SAP S/4HANA!
By Kathrin Schmalzing
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Book
Programming Oracle 10g using C# and PLSQLLearn about the new features of PL/SQL in Oracle 10g including the handling of relational and abstract data, triggers, stored procedures, packages, dynamic content presentation, security, and performance tuning.
By
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Project Management with SAP Project System, Fourth EditionJumpstart your next project with this comprehensive guide to SAP Project System (PS)! From development to invoicing, map out and manage each project phase with PS for a wide range of industry-relevant processes and workflows.
By Mario Franz
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Book
Protecting Oracle Database 12cThrough numerous coded examples, this practical book helps you solve the problem of maximizing the safety, resilience, and security of an Oracle database whilst preserving performance, availability, and integration despite ongoing and new security issues in the software.
By Paul Wright
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Book
Quality Management with SAP ERPGet the most out of your Quality Management system in SAP! From QM configuration to business process management to working in the system, this is the resource you need.
By Jawad Akhtar
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Book
Quality Management with SAP S/4HANAKeep your product standards high with this comprehensive guide to quality management in SAP S/4HANA.
By Jawad Akhtar
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Book
Query Store for SQL Server 2019: Identify and Fix Poorly Performing QueriesApply the new Query Store feature to identify and fix poorly performing queries in SQL Server.
By Grant Fritchey, Tracy Boggiano
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Querying MariaDB: Use SQL Operations,Data Extraction, and Custom Queries to Make your MariaDB Database Analytics more AccessibleThis book will take you on an engaging experience to understand SQL querying from the most basic to the most expert level, using various SQL techniques to extract valuable insights from your MariaDB databases. The adventure will begin with the most basic level and end with the most professional level.
By Adam Aspin
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Querying MySQL: Make your MySQL Database Analytics Accessible with SQL Operations, Data extraction, and Custom QueriesThis book will take you on an interactive journey to understand SQL querying from the most basic to the most expert level utilising a variety of SQL techniques to extract relevant insights from your MySQL databases.
By Adam Aspin
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Book
Querying SQL Server: Run T-SQL Operations, Data Extraction, Data Manipulation, and Custom Queries to Deliver Simplified AnalyticsThis book will take you on an interactive journey to master SQL querying from the most fundamental to the most advanced level using various T-SQL techniques to provide meaningful insights from your SQL Server data.
By Adam Aspin
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RDBMS In-Depth: Mastering SQL and PL/SQL Concepts, Database Design, ACID Transactions, and Practice Real Implementation of RDBM (English Edition)This book brings an extensive coverage of theoretical concepts on types of databases, concepts of relational database management systems, normalization and many more.
By Dr. Madhavi Vaidya
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Real World Health Care Data Analysis: Causal Methods and Implementation Using SASBringing together best practices for causal comparative effectiveness analyses based on real world data, this book includes examples with SAS code that the reader can follow to gain hands-on experience with these causal inference analyses using SAS.
By Douglas Faries, et al.
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Real-time Analytics with Storm and CassandraIncluding different methods that you can use to manage and maintain Cassandra and Storm, this book will teach you how to use Storm for real-time data processing and to make your applications highly available with no downtime using Cassandra.
By Shilpi Saxena
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Real-World SQL and PL/SQL: Advice from the ExpertsShowing how to fully exploit lesser known but extremely useful SQL and PL/SQL features, this book offers best practices, detailed examples, and insider tips that clearly demonstrate how to write, troubleshoot, and implement code for a wide variety of practical applications.
By Alex Nuijten, Arup Nanda, Brendan Tierney, Heli Helskyaho, Martin Widlake
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Receivables Management with SAP S/4HANAThis book is your comprehensive guide for both standard and advanced processes! Once you've set up your master data, configure and use both basic AR and specialized tasks.
By Chirag Chokshi
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Redis Deep Dive: Explore Redis - Its Architecture, Data Structures and Modules like Search, JSON, AI, Graph, Timeseries (English Edition)This book begins with teaching you to set up your own Redis environment, followed by Redis data structures, their architecture, and use cases.
By Chinmay Kulkarni, Suyog Dilip Kale
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Refactoring Legacy ABAP CodeLegacy code. All developers, even ABAPers, have to deal with it-but how? Enter this book!
By Paul Hardy
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Refactoring Legacy T-SQL for Improved Performance: Modern Practices for SQL Server ApplicationsShowing how to target performance pain points commonly found in older code, this book explains how to significantly improve the performance of older applications by finding common anti-patterns in T-SQL code.
By Lisa Bohm
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Reporting with SAP S/4HANA: Business User GuideMake business reporting easy with this all-in-one user guide! Explore the SAP Fiori user experience and see how its role-based approach makes gathering data from your system simpler and faster.
By Brijesh Singh
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Revenue Accounting and Reporting with SAP S/4HANADoes your business provide contract-based sales or services? Then you need this comprehensive guide to recognizing your revenue in SAP S/4HANA! Whether you're using classic revenue accounting and reporting (RAR) or optimized contract management (OCM), get step-by-step instructions to configure RAIs and contracts.
By Sreten Milosavljević, Swayam Prabha Shankara
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RMAN Recipes for Oracle Database 12c: A Problem-Solution Approach, Second EditionOffering a set of examples encompassing the gamut of backup and recovery tasks that you might need to perform, this easy-to-read guide presents Oracle database administrators with task-oriented, ready-made solutions to both common and not-so-common backup and recovery scenarios.
By Arup Nanda, Darl Kuhn, Sam Alapati
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Running MRP on SAP HANAExplore MRP optimization with SAP HANA in this book, starting with pre-requisite tasks and activation. Find out how to perform MRP using the new MRP Live, SAP S/4HANA for simplified MRP scenarios, and four new SAP Fiori apps in the MRP Cockpit.
By Caetano Almeida
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Sales and Distribution in SAP ERP: Business User Guide, 3rd Edition 2018Get the most out of your software for your essential operations in Sales and Distribution. Creating a sales order? Inquiries and quotations? Outbound deliveries? Find the step-by-step instructions you need for sales, shipping, transportation, and billing with this business user guide to SAP ERP.
By Luis Castedo, Matt Chudy, Ricardo Lopez
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Sales and Distribution with SAP S/4HANA: Business User GuideMaster the ins and outs of running sales and distribution in your SAP S/4HANA system. Follow step-by-step instructions, workflow diagrams, and system screenshots to complete your critical tasks and keep the sales pipeline moving.
By James Olcott, Jon Simmonds
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SAP ABAP Objects: A Practical Guide to the Basics and BeyondUsing simple, relatable code examples and useful tips and tricks, this book will help you understand ABAP objects-the object-oriented extension of the SAP language ABAP-in the latest release of SAP NetWeaver 7.5, and its newest advancements.
By Rehan Zaidi
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SAP Access Control: The Comprehensive GuideManage on-premise user access with this comprehensive guide to SAP Access Control. Begin with step-by-step installation and configuration instructions.
By Raghu Boddu
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SAP Activate Project Management Certification Guide: Certified Associate ExamFrom agile project planning and delivery to new implementations and system conversions, this guide will review the technical and functional knowledge you need to pass with flying colors.
By Aditya Lal
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SAP Activate: Project Management for SAP S/4HANA and SAP S/4HANA Cloud, 2nd Edition 2022This book has the expert guidance you need for every step of the journey! Learn about SAP Activate, including key concepts, the methodology, and supporting technologies.
By Jan Musil, Srivatsan Santhanam, Sven Denecken
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SAP Administration: Practical Guide, 2nd Edition 2015Updated for SAP NetWeaver 7.4, this resource offers the fundamental concepts of system administration, with step-by-step instructions and hundreds of screenshots.
By Sebastian Schreckenbach
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SAP Analysis for Microsoft Office-Practical GuideManaging your SAP data in Microsoft Excel? This is your guide to using SAP Analysis for Microsoft Office!
By Denis Reis
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SAP Analytics Cloud (Second Edition)you'll learn to configure SAP Analytics Cloud and connect to key data sources. Then, you'll build data models, create stories and dashboards, generate financial planning models, and use the analytics designer to develop custom widgets and applications.
By Abassin Sidiq
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SAP Analytics Cloud, 3rd Edition 2024Discover the next generation of BI with this guide to SAP Analytics Cloud! Get your data into the system and see which data models to use in which situations.
By Abassin Sidiq
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SAP Analytics Cloud: Financial Planning and AnalysisFP&A is now in the cloud! In this comprehensive guide, begin by provisioning your data for financial planning and analysis in SAP Analytics Cloud. Then follow step-by-step instructions to set up the planning process and use SAP Analytics Cloud's automated planning logic to calculate key metrics.
By Ankit Harish, Marius Berner, Satwik Das, Suvir Shahani
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SAP Analytics Cloud: Predictive AnalyticsToday's organizations must be prepared for tomorrow's events. Forecast future behavior in SAP Analytics Cloud with this comprehensive guide to predictive analytics! Start by learning about the data types, scenarios, and methods used in predictive analytics projects
By Antoine Chabert, David Serre
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SAP API ManagementUnpack your API toolkit with this guide to SAP API Management.
By Carsten Bönnen, Divya Mary, Harsh Jegadeesan, Shilpa Vij
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SAP Ariba, 3rd Edition, Updated and Revised 2021This is your comprehensive guide to SAP Ariba: implementation, configuration, operations, and integration! Get step-by-step instructions for each functional area, from contract and invoice management to guided buying and beyond.
By Matthew Cauthen, Rachith Srinivas
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SAP ASE 16 / Sybase ASE AdministrationSkip the marketing jargon, and jump right into the heart of the major tasks for administering SAP ASE 16.
By Jeffrey Garbus
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SAP Billing and Revenue Innovation Management: Functionality and Configuration, 2nd Edition 2022This comprehensive guide to SAP BRIM walks you through the basics of subscription-based and as-a-service billing models. Implement the core components of the SAP BRIM suite with step-by-step instructions, and then dig into billing operations following best practices.
By Andreas Tan, Clement Sanjivi, Jyoti Prakash Pathak, Maniprakash Balasubramanian, Shovanjit Gangopadhyay
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SAP Business ByDesign: Business User GuideTired of relying on ancient documentation and outdated Google results to run SAP Business ByDesign? Look no further! Whether you're just learning to navigate from screen to screen or you're ready to dive straight in to core operations, you'll get the step-by-step instructions you need.
By Andrew Howell, Caroline Atkinson, Laura Widner, Thomas Kramer
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SAP Business One: Business User Guide (2nd edition)This book explains about SAP.
By Carl Britton Lewis, Juanita Karan, Keith Taylor
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SAP Business Technology Platform, Second EditionTake a tour of the integrated tools and services for application development, business logic, automation, integration, security, and more. With detailed implementation examples for practical use cases, this is your guidebook to the complete SAP BTP ecosystem!
By Chun Aun Gooi, Shibaji Chandra, Smitha Banda
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SAP Business Technology Platform: An IntroductionSAP Business Technology Platform, and what does it offer your organization? Answer these questions and more with this introduction! See how SAP BTP serves as your complete technical foundation and learn about its capabilities for application development, integration, data management, analytics, and more.
By Chun Aun Gooi, Shibaji Chandra, Smitha Banda
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SAP BusinessObjects Web Intelligence: The Comprehensive Guide, 4th Edition 2017Updated for Webi 4.2, this book will teach you to create, design, and share your reports, while exploring the fundamentals of Webi and its extended capabilities
By Christian Ah-Soon, et al.
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SAP BW 7.4: Practical GuideDon't just read about SAP BW; get your hands dirty with this updated, must-read guide.
By Amol Palekar, Bharat Patel, Shreekant Shiralkar
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SAP BW/4HANA 2.0: The Comprehensive GuideReady for SAP BW/4HANA 2.0? This comprehensive guide will teach you all there is to know about the next generation business warehouse from SAP!
By Marina Lüdtke, Thorsten Lüdtke
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SAP C/4HANA: An IntroductionUnderstand how SAP C/4HANA handles marketing, commerce, sales, service, and customer data processes and identify which solutions fit your organization's CX needs.
By Drew Messinger-Michaels, Sanjjeev K. Singh, Sven Feurer, Thomas Vetter
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SAP Cloud Platform Integration: The Comprehensive Guide, 3rd Edition, Updated and Revised 2020Bring your cloud and on-premise applications together with SAP Cloud Platform Integration! Learn how to integrate processes and data in your system, step-by-step, by developing and configuring integration flows in the Cloud Foundry and Neo environments.
By John Mutumba Bilay, Mandy Krimmel, Peter Gutsche, Volker Stiehl
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SAP Commerce Cloud: Commerce with SAP C/4HANAConnect and integrate your commercial channels with SAP Hybris Commerce! Learn to handle content, catalogs, and orders, configure essential components, and perform support and service tasks with step-by-step instructions.
By Drew Messinger-Michaels, Seema Vishnoi, Sietse Verhoog
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SAP CRM: Business Processes and ConfigurationMaster the business processes and configuration for SAP Customer Relationship Management! This guide offers the details you need about key SAP CRM functionality and customization.
By Chandrakant Agarwal
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SAP Data IntelligenceThis book will Walk through SAP Data Intelligence applications and learn how to use them for data governance, orchestration, and machine learning.
By Arindom Saha, Devraj Bardhan, Dharma Teja Atluri, Santanu Ghosh, Snehasish Ghosh
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SAP Data Services: The Comprehensive GuideIt's time to extract, transform, and load your skills on managing enterprise data! With this book on SAP Data Services, you'll be an expert in no time.
By James Hanck, et al.
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SAP Enterprise MessagingConnect your enterprise landscape with SAP Enterprise Messaging (recently rebranded as SAP Event Mesh).
By Andrzej Halicki, Ricardo Viana
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SAP Extension Suite Certification Guide: Development Associate ExamMake the grade with this certification study guide! From user interfaces to security, this guide will review the key technical knowledge you need to pass the test.
By Krishna Kishor Kammaje, Mahesh Kumar Palavalli
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SAP Fieldglass : Functionality and ImplementationThis book explains about SAP.
By Jutta Villet, Richard Wanless, Shane McGough
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SAP Fiori and SAP S/4HANA: Large-Scale Application ImplementationIn this book, you'll learn what it takes to get hundreds of SAP Fiori apps for SAP S/4HANA up and running simultaneously.
By Phillip Parkinson
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SAP Fiori Certification Guide: Development Associate Exam, 2nd Edition 2020Preparing for your SAP Fiori development associate exam? Make the grade with this certification study guide!
By Krishna Kishor Kammaje
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SAP Fiori Elements: Development and ExtensibilityTake the guesswork out of app development with this comprehensive guide! Learn how to use SAP Fiori elements to develop SAP Fiori applications with minimal coding. Walk through the basics of SAP Fiori elements, including the OData standard, programming models, and development tools.
By Daniel Krancz, Martin Koch, Maximilian Olzinger, Rene Glavanovits
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SAP Fiori Launchpad: Development and ExtensibilityHelping you make the most of SAP Fiori launchpad, this book explains how it works, explores its architecture and capabilities, and helps you to understand the extensibility options available to you.
By Steve Guo
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SAP Fiori: Implementation and DevelopmentTake your UI to the next level with this all-in-one resource to implementing and developing SAP Fiori apps! Start by configuring the SAP Fiori components and setting up the necessary security measures.
By Aleksandar Debelic, Gairik Acharya, Souvik Roy
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SAP Fiori: UX Design for DevelopersThis book shows you how to use design elements in SAP Fiori to create an effective user experience.
By Anne Kathrine Petterøe, Tillman Swinke
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SAP Gateway and ODataCalling all SAP developers and admins! If your SAP and non-SAP apps rely on OData, you need this definitive guide to SAP Gateway. Perform your SAP Gateway deployment, including installation and configuration.
By André Fischer, Carsten Bönnen, Karsten Strothmann, Ludwig Diehl, Volker Drees
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SAP Gateway and OData, 3rd, Updated and Revised Edition 2019Walk through SAP Gateway installation and configuration; then get step-by-step instructions for OData service development, from code-based implementation to the ABAP programming model for SAP Fiori and beyond.
By André Fischer, Carsten Bönnen, Karsten Strothmann, Ludwig Heinz, Volker Drees
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SAP HANA 2.0 AdministrationThis book will Walk through deployment options, capacity planning, sizing, and design of SAP HANA infrastructure. Then see how to install and update your SAP HANA system.
By Bert Vanstechelman, Mark Mergaerts
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SAP HANA 2.0 Certification Guide: Application Associate Exam, Updated and Revised, 3rd EditionWhat are the benefits and specifics of the product? Preparing for your SAP HANA 2.0 certification? With this guide, you'll get everything required to ace the SAP Certified Application Associate test for SAP HANA (C_HANAIMP_15).
By Rudi de Louw
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SAP HANA 2.0 Certification Guide: Technology Associate ExamFrom installation and configuration to monitoring and troubleshooting, this guide will review the key technical and functional knowledge you need to pass with flying colors.
By Denys van Kempen
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SAP HANA 2.0 Security Guide, 2nd EditionYour complete guide to safeguarding your SAP HANA 2.0 platform, this book provides step-by-step instructions for configuring and maintaining each security element, from the new SAP HANA cockpit to privileges and roles.
By Jonathan Haun
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SAP HANA 2.0: An IntroductionEnter the fast-paced world of SAP HANA 2.0 with this introductory guide. No matter how SAP HANA 2.0 fits into your business, this book is your starting point.
By Denys van Kempen
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SAP HANA XSA: Native Development for SAP HANAWant to create applications that run faster and perform better on SAP HANA? Learn how to design, test, and deploy native SAP HANA applications with SAP HANA XSA with this practical resource.
By Abani Pattanayak, Dominik Schrank, Francesco Alborghetti, Jonas Kohlbrenner, Primo Sboarina
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SAP IBP for Supply Chain Certification Guide: Application Associate ExamPreparing for your SAP IBP for Supply Chain exam? Make the grade with this C_IBP certification study guide! From sales and operations planning to response and supply, this guide will review the key technical and functional knowledge you need to pass the test.
By Parag Bakde, Rishabh Gupta
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SAP Information Lifecycle Management: The Comprehensive GuideMaster SAP ILM, from retention management to lifecycle management for custom code. Follow step-by-step instructions and walk through all major functionality including policy creation, legal case management, data archiving, and more.
By Iwona Luther, Nicole Fernandes
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SAP Integrated Business Planning: Functionality and Implementation, 3rd Edition, Updated and Revised 2021With coverage of intelligent visibility, SAP IBP for demand-driven replenishment, and more, you can be sure you're getting the latest information on supply chain planning with SAP!
By Amit Sinha, Jay Foster, Sanchit Chandna, Sandy Markin
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SAP Interactive Forms by Adobe, 3rd Edition 2022This book has all the information you need to answer your questions, increase your knowledge, and improve your efficiency.
By Timo Ortiz
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SAP Interface Management GuideAddress the challenges of managing hybrid SAP integration landscapes with this guide! Begin by understanding the integration architectures, styles, and standards at work in your SAP system.
By Adam Kiwon, Manuel Männle, Mark Lehmann, Martin Tieves
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SAP Landscape Transformation Replication Server: The Practical GuideReplicate and synchronize data between different systems with SAP LT Replication Server! Whether you need to load and replicate data to SAP HANA, SAP S/4HANA, SAP BW, SAP BW/4HANA, or a cloud system, you'll get detailed instructions for configuring the replication process, handling authorizations, and managing outages.
By Prathyusha Garimella, Shashidhar Garimella
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SAP Master Data Governance: The Comprehensive Guide to SAP MDG, Third EditionManage your SAP S/4HANA and SAP ERP master data with this hands-on guide! Walk through implementing, configuring, and using SAP Master Data Governance, both on-premise and in the cloud.
By Antony Isacc, Bikram Dogra, David Quirk, Dilip Radhakrishnan, Homiar Kalwachwala, Rajani Khambhampati, Sandeep Chahal, Santhosh Cheekoti, Syama Srinivasan, Vikas Lodha
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SAP on Microsoft Azure: Architecture and AdministrationRun your SAP system on Microsoft Azure with this comprehensive guide to architecture design and system administration.
By Ravi Kashyap
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SAP Performance Optimization Guide: Analyzing and Tuning SAP SystemsFrom monitoring system workloads and optimizing SQL statements, to identifying performance problems in ABAP programs and sizing SAP HANA, this book will teach you how to make your SAP system as agile as possible.
By Thomas Schneider
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SAP Process Control: The Comprehensive GuideEasier audits, protection against fraud, streamlined process controls-this is why you need SAP Process Control in your organization. With this comprehensive guide, see how to implement and configure the solution, from maintaining connectors to defining master data.
By Raghu Boddu, Ramakrishna Chaitanya
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SAP Process Orchestration: Monitoring Messages, Channels, and Processes in SAP POSeeking to better manage monitoring in SAP Process Orchestration? In this book, learn about monitoring integration components in SAP PO.
By Ridvan Polat
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SAP Process Orchestration: The Comprehensive Guide, 2nd, Updated and Revised Edition 2017Looking for smooth integration for your complex system landscape? Whether you're starting fresh or migrating from SAP PI, this book covers everything you need to know.
By John Mutumba Bilay, Roberto Viana Blanco
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SAP Revenue Accounting and Reporting and IFRS 15The IFRS 15 standard is here. Is your company ready? See how the five-step framework for revenue recognition affects your business processes, and dive into best practices for implementing and configuring SAP Revenue Accounting and Reporting.
By Dayakar Domala, Koti Tummuru
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SAP S/4HANA AdministrationManage and maintain your SAP S/4HANA system! Understand the architecture of the ABAP platform, from its technical requirements to your options for configuration.
By Bert Vanstechelman, Mark Mergaerts
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SAP S/4HANA Architecture, 2nd EditionMaster SAP S/4HANA's technical and application architecture with this book! See how the foundation is built: the backend data models, the frontend user experience, the analytics and extension capabilities, integration options, and more.
By Jochen Boeder, Thomas Saueressig, Tobias Stein, Wolfram Kleis
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SAP S/4HANA Business Process Integration Certification Guide: Application Associate ExamPreparing for your SAP S/4HANA business process integration exam? Make the grade with this certification study guide to C_TS410!
By Murat Adivar
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SAP S/4HANA Cloud: An Introduction, 2nd Edition 2022SAP S/4HANA Cloud has a lot to offer-so see what's possible! Explore core functionality like finance, logistics, and reporting with embedded analytics.
By Almer Podbicanin, Arpan Shah, Jan Gilg, Marcus Homann, Thomas Saueressig, Uwe Grigoleit
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SAP S/4HANA Embedded Analytics: The Comprehensive Guide, 2nd Edition, Updated and Revised 2021Meet your BI needs with SAP S/4HANA embedded analytics! Explore the system architecture and data model and learn how to perform analytics on live transactional data.
By Anirban Kundu, Jürgen Butsmann, Thomas Fleckenstein
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SAP S/4HANA Finance: The Reference Guide to What's NewWhether you're writing a business case or training super users, you need to explain why SAP S/4HANA Finance is worth the investment. Hear from the experts how SAP S/4HANA Finance addresses key stakeholders concerns, and prepare your financials team for process changes.
By Janet Salmon, Michel Haesendonckx
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SAP S/4HANA Financial Accounting Certification Guide: Application Associate Exam, 3rd Edition, Updated and Revised 2021From general ledger accounting to financial closing, this guide reviews the key technical and functional knowledge you need to get a high score on your SAP S/4HANA for Financial Accounting Associates exam.
By Stefanos Pougkas
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SAP S/4HANA Management Accounting Certification Guide: Application Associate ExamStudying for the SAP S/4HANA Management Accounting exam? Get the tools you need to succeed with this CO certification study guide for exams C_TS4CO_1709 and C_TS4CO_1809.
By Marjorie Wright, Theresa Marquis
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SAP S/4HANA Production Planning and Manufacturing Certification GuideThis guide will review the key technical and functional knowledge you need to pass with flying colors. Explore test methodology, key concepts for each topic area, and practice questions and answers.
By Siva Kumar Mutnuru
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SAP S/4HANA Sales Certification GuideThis book will review the key technical and functional knowledge you need to pass the test. Explore test methodology, key concepts for each topic area, and practice questions and answers.
By Darío Franco, Jon Simmonds
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SAP S/4HANA Sourcing and Procurement Certification Guide: Application Associate ExamPreparing for your sourcing and procurement exam? Make the grade with this SAP S/4HANA Sourcing and Procurement Application Associate Exam certification study guide!
By Fabienne Bourdelle
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SAP S/4HANA System Conversion GuideIf you're performing a brownfield migration from an existing SAP ERP system, this is the guide for you! From planning the project and preparing your system to adjusting custom code and executing the conversion, you'll get step-by-step instructions for all stages of your implementation.
By Bert Vanstechelman, Mark Mergaerts
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SAP S/4HANA: An IntroductionInterested in what SAP S/4HANA has to offer? Find out with this big-picture guide! Take a tour of SAP S/4HANA functionality for your key lines of business: finance, manufacturing, supply chain, sales, and more.
By Devraj Bardhan, et al.
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SAP Sales Cloud: Sales Force Automation with SAP C/4HANALooking for the tools to boost your sales sky high? With this comprehensive guide to sales force automation with SAP C/4HANA, you'll learn to implement, configure, and use SAP Sales Cloud.
By Karan Sood, Sanjjeev K. Singh
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SAP Solution Manager for SAP S/4HANA: Managing Your Digital BusinessAre you moving to SAP S/4HANA? This book will show you how SAP Solution Manager 7.2 can smooth your path.
By Marc O. Schäfer, Matthias Melich
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SAP Solution Manager: Practical GuideWith this hands-on guide to SAP Solution Manager (SolMan) 7.2, you'll find everything you need to maintain your SAP landscape.
By Jereme Swoboda, Michael Pytel, Nathan Williams, Steve Christian
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SAP SuccessFactors Admin Center: User Management, Security, and Data MaintenanceHelping you unlock the secrets of SAP SuccessFactors Admin Center, this book will teach you to navigate the homepage and its portlets, and provides step-by-step instructions for maintaining your SAP SuccessFactors data and securing your system using Role-Based Permissions (RBP).
By Venki Krishnamoorthy
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SAP SuccessFactors Employee Central PayrollIt's finally here: your all-in-one guide to Employee Central Payroll! From step-by-step instructions for configuring wages, personal data, pay statements (and more!) to guidance on running your payroll and reporting on system operations, this book has it all.
By Deepankar Maitra, Stacy Wilkins
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SAP SuccessFactors Learning: The Comprehensive GuideThe goal of this book is to provide an in-depth look into the functionality, implementation, configuration, and maintenance of the SAP SuccessFactors Learning application.
By Alan Yang, Alex Churin, Joelle Smith
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SAP SuccessFactors Recruiting and Onboarding: The Comprehensive GuideGet the right people for the job with this comprehensive guide to SAP SuccessFactors Recruiting Marketing (RMK), Recruiting Management (RCM), and Onboarding (ONB)!
By Amy Grubb, Kim Lessley
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SAP SuccessFactors: An Introduction, 3rd Edition, Updated and Revised 2020Take a tour of the SAP SuccessFactors suite! Discover what SAP offers for cloud HR: personnel administration, payroll, recruitment, onboarding, learning, workforce analytics, and more.
By Amy Grubb, Luke Marson
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SAP System Security GuideIf you're a Basis administrator looking to keep your SAP system under lock and key, this is the book for you!
By Alessandro Banzer, Joe Markgraf
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Sap Tools, Methodologies and TechniquesCapturing global market using sap tools, techniques & best practices.
By Sudipta Malakar
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SAP Transaction Codes: Your Quick Reference to Transactions in SAP ERP, 2nd Edition 2016From A to Z, or more appropriately, from AB01 to XK99, this is the SAP transaction code encyclopedia you've been waiting for!
By Martin Murray, Norman Reynolds, Peter Teesdale, Venki Krishnamoorthy
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SAP: An Introduction: Next-Generation Business Processes and SolutionsWondering whether the new SAP can meet your existing business requirements and if so, how? This book is your big-picture guide to how SAP solutions address your day-to-day business and IT processes in the post-SAP Business Suite landscape.
By Ben Robinson, Gareth Ryan, Ian Vincent, Matthew Riches
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SAPUI5: The Comprehensive Guide, 2nd Edition 2020Your comprehensive guide to SAPUI5! From !DOCTYPE HTML to /html, get the know-how to develop MVC apps, use OData, create data bindings, debug and test code, and deploy apps.
By Christiane Goebels, Denise Nepraunig, Paul Modderman, Thilo Seidel
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Securing SQL Server: DBAs Defending the DatabaseProviding practical advice and engaging examples, this book will help you protect your data from attack by using SQL Server technologies to implement a defense-in-depth strategy, perform threat analysis, and encrypt sensitive data as a last line of defense against compromise.
By Peter A. Carter
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Securing SQL Server: Protecting Your Database from Attackers, Third EditionAuthored by Denny Cherry, a Microsoft SQL MVP and one of the biggest names in SQL server, this book will teach you how to properly secure an SQL server database from internal and external threats using best practices as well as specific tricks that he employs in his role as a consultant for some of the largest SQL server deployments in the world.
By Denny Cherry
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Security and Authorizations for SAP Business Technology PlatformLearn what it takes to protect SAP Business Technology Platform! Walk through the cloud security mechanisms of SAP BTP (formerly SAP Cloud Platform). See how to set up users and permissions for your unique circumstances and configure secure connection to cloud and on-premise systems.
By Martin Koch, Siegfried Zeilinger
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Security for SAP Analytics Cloud: Authorizations and ProvisioningCloud systems can be vulnerable to attack-so make sure yours isn't! See how to create users in SAP Analytics Cloud and enable a custom SAML identity provider to implement single sign-on for them.
By Martijn van Foeken
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Security for SAP Cloud SystemsDiscover the tools you can use to protect your data: single sign-on, the code vulnerability analyzer, SAP Solution Manager, and more.
By Ming Chang
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Security, Audit and Control Features: Oracle PeopleSoft, 3rd EditionOffering two chapters from the full-text book, this sample content presents details needed to confidently plan and execute a review of risk and controls in a PeopleSoft environment.
By ISACA
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Serializing Interfaces in SAP AIFThe serialization of interfaces is a task that occurs in all interface technologies, including SAP AIF, the application integration framework. Discover how to serialize your processes in SAP AIF with this go-to book!
By Krzysztof Łuka, Michal Krawczyk, Michal Michalski
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Settlement Management with SAP S/4HANA: Customer Rebates, External Commissions, and RoyaltiesGet settlement management up and running in SAP S/4HANA! See how to configure the condition contract, from condition tables to contract types.
By Suman Chanda, Tushar Bhunya, Ujjwal Chattopadhyay
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Snowflake Access Control: Mastering the Features for Data Privacy and Regulatory ComplianceThis book shows how to use Snowflake's wide range of features that support access control, making it easier to protect data access from the data origination point all the way to the presentation and visualization layer.
By Jessica Megan Larson
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Snowflake Architecture and SQLIn this book, readers will learn the Snowflake architecture with an excellent level of detail. Readers will also learn the clever tricks and tips that make Snowflake unique, including failsafe, time travel, and min-max pruning.
By Tom Coffing
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Snowflake Essentials: Getting Started with Big Data in the Cloud, 1st EditionThis book covers how Snowflake's architecture is different from prior on-premises and cloud databases.
By Bhaskar B. Joshi, Bjorn Lindstrom, Frank Bell, Raj Chirumamilla, Ruchi Soni, Sameer Videkar
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Snowflake Security: Securing Your Snowflake Data CloudThis Book Is for data engineers, data privacy professionals, and security teams either with security knowledge (preferably some data security knowledge) or with data engineering knowledge; in other words, either "Snowflake people" or "data people" who want to get security right, or "security people" who want to make sure that Snowflake gets handled right in terms of security
By Ben Herzberg, Yoav Cohen
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Snowflake SnowPro Advanced Architect Certification Companion: Hands-on Preparation and PracticeThe book guides you through a study of the different domains covered on the exam: Accounts and Security, Snowflake Architecture, Data Engineering, and Performance Optimization.
By Ruchi Soni
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Snowflake SnowPro Core Certification: Study GuideThe Snowflake SnowPro Core Certification Study Guide delivers comprehensive coverage of every relevant exam topic on the Snowflake SnowPro Core Certification test.
By Hamid Mahmood Qureshi
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SnowPro Core Certification Companion: Hands-On Preparation and PracticeThis study companion helps you prepare for the SnowPro Core Certification exam. The author guides your studies so you will not have to tackle the exam by yourself. To help you track your progress, chapters in this book correspond to the exam domains as described on Snowflake's website.
By Maja Ferle
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Sourcing and Procurement with SAP S/4HANALearn how SAP S/4HANA integrates with SAP Signavio, SAP Ariba, SAP Fieldglass, and more. Then, expertly run your system after go-live-see how to get the most out of your new analytics features and customize your UI.
By Justin Ashlock
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Sourcing and Procurement with SAP S/4HANA, Updated and Revised 2020, 2nd EditionYour comprehensive guide to SAP S/4HANA sourcing and procurement is here! Get step-by-step instructions to configure sourcing, invoicing, supplier management and evaluation, and centralized procurement.
By Justin Ashlock
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SQL All-in-One For Dummies, 4th EditionSQL All-in-One For Dummies has everything you need to get started with the SQL programming language, and then to level up your skill with advanced applications.
By Allen G. Taylor, Richard Blum
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SQL BibleThis definitive volume contains all the information you need to understand and use SQL and its implementations in accordance with the established SQL99 standard.
By Alex Kriegel, Boris M. Trukhnov
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SQL for Data Scientists: A Beginner's Guide for Building Data Sets for AnalysisThis book is a guide for data scientists differs from other instructional guides on the subject. It doesn't cover SQL broadly. Instead, you'll learn the subset of SQL skills that data analysts and data scientists use frequently. You'll also gain practical advice and direction on "how to think about constructing your dataset.
By Renee M. P. Teate
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SQL for MySQL: A Beginner's TutorialAn approachable and user-friendly introduction to the SQL variant for MySQL, this thorough guide teaches beginners how to select data from the database, insert and update data, and how to create database objects with chapters that detail each topic with jargon-free language.
By Djoni Darmawikarta
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SQL in 7 Days: A Quick Crash Course in Manipulating Data, Databases Operations, Writing Analytical Queries, and Server-Side ProgrammingThis book provides lucid explanations of the features of SQL, beginning with the most fundamental and progressing to the most advanced. You'll be able to learn how to perform everyday SQL operations like adding new entries, modifying or deleting old ones, and performing simple and sophisticated SQL queries with the assistance of this book, which makes learning SQL a more efficient and practical process.
By Alex Bolenok
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SQL in easy steps, 4th EditionThis book easy-to-follow style that will appeal to anyone who wants to begin using databases.
By Mike McGrath
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SQL Injection Attacks and Defense, Second EditionPresenting significant insight from a team of SQL injection experts, this book is the definitive resource for understanding, finding, exploiting, and defending against this increasingly popular and particularly destructive type of Internet-based attack.
By Justin Clarke, et al.
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SQL Pocket PrimerThis book is primarily for data scientists and machine learning engineers who want to expand their current knowledge of SQL using MySQL as the primary RDBMS.
By Oswald Campesato
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SQL Primer An Accelerated Introduction to SQL BasicsCovering features of SQL that are standardized and common across most database vendors, this book will provide you with a base of knowledge that will prepare you to go deeper into the specifics of any database product you might encounter.
By Rahul Batra
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SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data with SQLThe definitive beginner's SQL toolbox, this book is ideal for those seeking to increase their job prospects and enhance their careers, for developers looking to expand their programming capabilities, or for anyone who wants to take advantage of our inevitably data-driven future.
By Walter Shields
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SQL Server 2000 Stored Procedures HandbookThis handbook shows how to write faster and more robust stored procedures and functions, learn effective, real-world solutions to problems faced by database developers, designers, and administrators, and master topics such as optimizing and debugging.
By Chuck Hawkins, Louis Davidson, Robin Dewson, Tony Bain
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SQL Server 2005 T-SQL Recipes: A Problem-Solution ApproachNeed to brush up on specific SQL Server tasks, procedures, or Transact-SQL commands? This no-fluff guide provides how-to answers to common SQL Server T-SQL questions, conceptual overviews, and highlights of new features introduced in SQL Server 2005.
By Joseph Sack
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SQL Server 2008 Transact-SQL RecipesAn example-based guide to the Transact-SQL language, this book takes common tasks and breaks them down into a problem/solution format that is quick and easy to read so that you can get the job done fast when the pressure is on.
By Joseph Sack
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SQL Server 2017 Query Performance Tuning: Troubleshoot and Optimize Query Performance, Fifth EditionTeaching you how to identify and fix causes of poor performance, this book covers the latest in performance optimization features and techniques and is current with SQL Server 2017.
By Grant Fritchey
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SQL Server 2019 AlwaysOn: Supporting 24x7 Applications with Continuous Uptime, Third EditionA practical and hands-on book to get you started quickly, this guide is chock full of real-world advice on how to build and configure the most appropriate topology to meet the high-availability and disaster recovery requirements you are faced with.
By Peter A. Carter
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SQL Server 2019 Revealed: Including Big Data Clusters and Machine LearningComprehensive with deep examples and references, this book will get you up to speed on the game-changing developments in SQL Server 2019.
By Bob Ward
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SQL Server 2022 Query Performance Tuning: Troubleshoot and Optimize Query Performance, 6th EditionThe book gives you knowledge and tools to help you identify poorly performing queries and understand the possible causes of that poor performance.
By Grant Fritchey
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SQL Server 2022 Revealed: A Hybrid Data Platform Powered by Security, Performance, and AvailabilityThe book covers cutting-edge features such as the blockchain-based Ledger for creating a tamper-evident record of changes to data over time that you can rely on to be correct and reliable. You'll learn about built-in Query Intelligence capabilities to help you to upgrade with confidence that your applications will perform at least as fast after the upgrade than before.
By Bob Ward
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SQL Server Advanced Data Types: JSON, XML, and BeyondExploring each of the complex data types supplied within SQL Server, this authoritative book offers a practical guide to working with complex data, using real-world examples to demonstrate how each data type can be leveraged.
By Peter A. Carter
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SQL Server AlwaysOn RevealedProviding a practical and hands-on guide to get you started quickly in using SQL Server AlwaysOn, this concise book offers real-world advice on how to build and configure the most appropriate topology to meet the high-availability and disaster recovery requirements you are faced with.
By Peter A. Carter
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SQL Server Analytical Toolkit: Using Windowing, Analytical, Ranking, and Aggregate Functions for Data and Statistical AnalysisLearn window function foundational concepts through a cookbook-style approach, beginning with an introduction to the OVER() clause, its various configurations in terms of how partitions and window frames are created, and how data is sorted in the partition so that the window function can operate on the partition data sets.
By Angelo Bobak
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SQL Server Big Data Clusters: Data Virtualization, Data Lake, and AI Platform, Second EditionUse this guide to one of SQL Server 2019's most impactful features-Big Data Clusters.
By Benjamin Weissman, Enrico van de Laar
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SQL Server Big Data Clusters: Early First Edition Based on Release Candidate 1Filled with clear examples and use cases, this book provides everything necessary to get started working with Big Data Clusters in SQL Server 2019 using Release Candidate 1.
By Benjamin Weissman, Enrico van de Laar
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SQL Server Data Automation Through Frameworks: Building Metadata-Driven Frameworks with T-SQL, SSIS, and Azure Data FactoryLearn to automate SQL Server operations using frameworks built from metadata-driven stored procedures and SQL Server Integration Services (SSIS). Bring all the power of Transact-SQL (T-SQL) and Microsoft .NET to bear on your repetitive data, data integration, and ETL processes.
By Andy Leonard, Kent Bradshaw
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SQL Server Query Performance Tuning, Fourth EditionExplaining the causes of poor performance, how to identify them, and how to fix them, this in-depth guide provides the tools and techniques you need to create good-performing applications that delight their users.
By Grant Fritchey
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SQL Server T-SQL Recipes, Fourth EditionProviding ready-to-implement solutions to common programming and database administration tasks, this book will show you how to create databases, create in-memory tables and stored procedures, insert and update data, generate reports, secure your data, and more.
By Jason Brimhall, Jonathan Gennick, Wayne Sheffield
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SQL: A Beginner's Guide, Fourth EditionHelping you get started programming in SQL right away, this easy-to-follow guide offers clear instruction on each topic, is loaded with step-by-step examples, and includes coverage of database security, SQL/XML, and new temporal data features.
By Andrew J. Oppel
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SQLScript for SAP HANA, Second EditionLearn to implement SAP HANA database procedures and functions using imperative and declarative SQLScript. Integrate with ABAP, SAP BW on SAP HANA, and SAP BW/4HANA.
By Jörg Brandeis
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Sybase ASE 12.5 Performance and TuningLearn to maximize and regulate your sever performance by monitoring your system with this comprehensive, hands-on guide.
By Jeffrey Garbus, et al.
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Tax with SAP S/4HANA: Configuration and DeterminationTax compliance is critical. Get the concrete guidance you need for indirect and direct taxes in SAP S/4HANA with this book! See how to configure standard tax settings such as tax codes, plants abroad, and exchange rates.
By Dirk Heyne, Jan M. Walter, Michael Fuhr, Nadine Teichelmann
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Tera-Tom on Teradata BasicsBoth management and IT will understand this masterpiece written by the world's top authorities on Teradata and data warehousing, describing how Teradata is built to achieve data warehouse utopia.
By Morgan Jones, Tom Coffing
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Tera-Tom on Teradata SQL V12Featuring brilliant explanations, real-world examples, and every trick of the trade, this book is a comprehensive guide to SQL, and will get you ready for your Teradata SQL certification.
By Tom Coffing
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Tera-Tom on Teradata Utilities V12-V13By making an extremely difficult subject relatively easy, the building block style of this guide will prepare you to be a Teradata Utilities expert and get you ready for utilities questions on all of the Teradata certification tests.
By Tom Coffing
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Tera-Tom Tera-Cram for Teradata Basics V12: Understanding is the Key!Preparing you to be a Teradata expert and ready for Teradata certification, this guide will build your Teradata architecture knowledge and serve as your foundation for all future learning.
By Tom Coffing
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Tera-Tom's 1000 Page e-Book on Teradata Architecture and SQLTeaching you everything you need to know about Teradata, the architecture, and how it works, this detailed book provides over 1000 SQL examples that will help you master Teradata.
By Tom Coffing, William Coffing
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Teradata Architecture for IT and DevelopersLeaving no stone unturned, this book takes a building block approach to allow readers to continually see how the data is laid out, how to design the tables, as well as understand the mechanisms that Teradata uses, and understand why Teradata is the best data warehouse in the world.
By John Nolan, Tom Coffing
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Teradata Basics for Business UsersBeginning with brilliant fundamentals, this book then dives into how Teradata works, how data is laid out, how people are set up as users, and how they are tracked.
By Leona Coffing, Tom Coffing
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Teradata Database Administration: TASM and ViewpointTaking you through Viewpoint, TASM, and setting up workloads, this book provides step-by-step guidance that will make these very challenging subjects easy to master.
By Carling Nolan, Tom Coffing
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Teradata Database Administration: Teradata InternalsTaking you deep inside the guts of Teradata--down to the row level, block level, and cylinder level, this book will bring you into the top 1% of knowledge of Teradata.
By Todd Wilson, Tom Coffing
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Teradata Database Administration: The FundamentalsExplaining how Teradata works, this book will help you to understand the environment and the landscape providing you with strong fundamentals so you can do your job.
By Thomas Coffing III, Tom Coffing
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Teradata for ExecutivesGiving executives great insight into the strengths and weaknesses of Teradata, this common-sense book offers expert advice that will help them understand what they need to know, and what's most important to make strategic decisions.
By Leslie Nolander, Tom Coffing
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Teradata Load UtilitiesWith detailed examples and explanations, this clear and easy-to-understand book covers all of the traditional utilities including BTEQ, FastLoad, MultiLoad, TPump, FastExport, and all of the TPT scripts.
By Todd Wilson, Tom Coffing
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Teradata Physical Database DesignHelping you to understand the important issues so you can make clear decisions, this thorough resource brilliantly touches on the important things a designer needs to do to build a world-class data warehouse.
By Leah Nolander, Tom Coffing
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Teradata SQLWith a step-by-step building block approach, this book starts at the most basic level, then moves to the most advanced level with over 1,000 examples that work and explain exactly what is going on.
By Mike Larkins, Tom Coffing
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Teradata SQL Quick Reference Guide: Simplicity by Design, Second EditionAsking the right questions is half the battle to greatly impacting the company's bottom line. Dedicated to assisting users in asking the right questions, this concise reference details the commands, syntax, hints, troubleshooting, and examples of SQL.
By Michael Larkins, Steve Wilmes, Tom Coffing
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Teradata SQL: Unleash the Power, Fourth Edition V2R6Containing detailed comparisons, syntax, examples, and tips and tricks learned from the industry's top two SQL experts, this guide demonstrates both ANSI and Teradata SQL in an easy-to- understand manner.
By Michael J. Larkins, Thomas L. Coffing, Jr.
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Teradata Utilities: BTEQ, FastLoad, MultiLoad, TPump, and FastExport, Second EditionBTEQ, Fastload, Multiload, Tpump, and Fastexport will finally be easy to run with the straightforward explanations, examples, hints, and tips from this Coffing Data Warehousing masterpiece.
By Tom Coffing, et al.
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Test Data Classes for ABAPThis book will walk you step by step through developing and using test data classes. Learn how they improve the testing of all classes including data access classes and API classes.
By Winfried Schwarzmann
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Testing SAP APIs: Strategy and ExecutionGet to know the SAP-recommended interface testing tools and processes for SAP Process Orchestration, SAP Cloud Platform Integration, and the SAP Application Interface Framework with this thorough guide.
By Korneliusz Kordus, Michal Krawczyk, Pontus Borgström
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Testing SAPUI5 ApplicationsTake a deep dive into application testing for SAPUI5! Learn how to use QUnit for unit testing and build one-page acceptance tests (OPA) for your components.
By Arnaud Buchholz, Ian McCallum
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The Cloud DBA-Oracle: Managing Oracle Database in the CloudTeaching you how to define strategies for cloud adoption of your Oracle database landscape, this in-depth resource will help you understand private cloud, public cloud, and hybrid cloud computing in order to successfully design and manage databases in the cloud.
By Abhinivesh Jain, Niraj Mahajan
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The Database Application Book: Using the MySQL Database SystemIdeal for a course on database applications or as a second book in a course on databases, this authoritative guide is a perfect companion for the software professional in the business of writing database applications.
By Narain Gehani
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The Database Book: Principles & Practice Using MySQL, Second EditionWithout burdening readers with theorems and internal algorithms, this book provides comprehensive coverage of database principles and practice, using the open source database MySQL for examples.
By Narain Gehani
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The Definitive Guide to MongoDB: A Complete Guide to Dealing with Big Data using MongoDB, Third EditionTeaching you everything you need to know to become a MongoDB pro, this authoritative guide was written for database admins and developers who need to get up to speed on MongoDB and its Big Data, NoSQL approach to dealing with data management.
By David Hows, Eelco Plugge, Peter Membrey, Tim Hawkins
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The Oracle 11g Performance TuningFor people responsible for the operation, maintenance, and performance of Oracle databases, this book describes detailed ways to enhance Oracle performance by writing and tuning SQL properly, using performance tools, and optimizing instance performance.
By Rajeev A. Parida
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The Payroll Control Center for SAP ERP HCM and SAP SuccessFactorsPayroll woes are over! In this book, explore the new Payroll Control Center add-on: what it is and how it works, all within your system.
By Imran Sajid
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The SQL Server DBA's Guide to Docker Containers: Agile Deployment without Infrastructure Lock-inGet introduced to the world of Docker containers from a SQL Server DBA's perspective. This book explains container technology and how it can improve the deployment of your SQL Server databases without infrastructure lock-in.
By Edwin M. Sarmiento
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Transportation Management with SAP S/4HANA, 4th, Updated and Revised Edition 2023The definitive book on TM is back! See how transportation management fits into your SAP S/4HANA landscape and find out what's new for basic and advanced TM.
By Bernd Lauterbach, Christopher Sürie, Jens Gottlieb, Meike Helwig, Ulrich Benz
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Troubleshooting Oracle Performance, Second EditionCovering the latest developments in Oracle Database 11g Release 2 through Oracle Database 12c, this thorough guide provides a systematic approach to addressing the underlying causes of poor database application performance.
By Christian Antognini
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Understanding Oracle APEX 5 Application DevelopmentIntroducing the world of APEX properties, and explaining the functionality supported by each page component as well as the techniques developers use to achieve that functionality, this book shows APEX developers how to build practical, non-trivial web applications.
By Edward Sciore
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Unstructured Data: Growth and ChallengeAuthored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article discusses how data cannot be under-stated as it provides the basis for reporting the information required in business operations.
By Shankar Rathinasamy
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Upgrading SAP: The Comprehensive GuideThere's more to upgrading your SAP system than just pressing a button. Here's the next-best thing: a comprehensive guide to the upgrade process.
By Bert Vanstechelman, Mark Mergaerts
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User Management for SAP IBPProvision users and set up permissions in SAP Integrated Business Planning with this informative resource.
By Evelyna Holban, Unmesh Gandhi
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Using MySQLLearn how to install and administer MySQL. Tips for developing MySQL database applications using Perl, Python, PHP, Java, and C API, is also covered.
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Using SAP LT Replication Server (SLT)Need to replicate your data in real time? Do it with this E-Bite on SAP LT Replication Server (SLT)!
By Astrid Tschense, Tobias Koebler
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Using SAP S/4HANA: An Introduction for Business UsersGet to work in SAP S/4HANA with this introductory guide! Learn how to navigate your user interface, manage and report on your data, customize your reports, and tailor the system to your preferences.
By Dennis Fitznar, Wolfgang Fitznar
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Using SAP: An Introduction for Beginners and Business Users, 3rd Edition 2017Do you need to learn SAP for your day-to-day work? Get the detailed steps and screenshots that walk you through the processes you need to do your job.
By Olaf Schulz
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Using Sybase SQL ServerLearn to work with databases and tables, including querying databases and using views and procedures, using Sybase SQL Server.
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V14 Certification: Teradata BasicsWith an aim to boost your level of confidence and knowledge, this book provides an incredible reference guide, learning tool, and foundation for passing all the tests and becoming a Teradata Certified Master.
By John Nolan, Tom Coffing
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V14 Certification: Teradata SQLDesigned to boost both your confidence and knowledge, this book will not only help you pass the V14 certification exam, but is also an incredible reference guide, learning tool, and foundation for passing all tests required for becoming a Teradata Certified Master.
By Leona Coffing, Tom Coffing
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Vendor Invoice Management with SAPReduce payment bottlenecks with SAP Invoice Management by OpenText! Get step-by-step instructions for setting up this vendor invoice management (VIM) application to work with both SAP ERP and SAP S/4HANA.
By Heather Reina, Mark Travers, Matthias Niessen
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Visual Design of GraphQL Data: A Practical Introduction with Legacy Data and Neo4jAn introduction to the visual design of GraphQL data and concepts, this pragmatic book provides simple guidelines based on lessons learned from real-life data discovery and unification, as well as useful visualization techniques.
By Thomas Frisendal
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Visual Studio Code for SAPStart programming your SAP applications in Visual Studio Code! This hands-on guide begins with an overview of how VS Code works and how it connects to your SAP systems.
By Leon Hassan
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Warehouse Management with SAP ERP: Functionality and Technical Configuration, 3rd Edition 2016Ensure an efficient and orderly Warehouse Management implementation with this comprehensive guide to SAP WM in SAP ERP.
By Martin Murray, Sanil Kimmatkar
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Warehouse Management with SAP EWMConfigure and run your warehouse business processes with this guide to SAP Extended Warehouse Management.
By Balaji Kannapan, Hari Tripathy, Vinay Krishna
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Warehouse Management with SAP S/4HANA: Embedded and Decentralized EWM, 4th EditionAre you ready for warehouse management with SAP S/4HANA? With this implementation guide to EWM in SAP S/4HANA, start by setting up organizational and warehouse structures. Then follow step-by-step instructions to configure your product master, warehouse requests, handling units, warehouse tasks, and other key building blocks.
By Aman Jain, Namita Sachan
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Warehouse Management with SAP S/4HANA: Embedded and Decentralized EWM, Third EditionWith this implementation guide to extended warehouse management (EWM) in SAP S/4HANA, lay the foundation by setting up your organizational and warehouse structures.
By Aman Jain, Namita Sachan
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Web Programming with PHP and MySQL: A Practical GuideCovering all the main features of the 'web programming' languages PHP and MySQL, this introductory, example-rich book will enable readers (whether students on a taught course or independent learners) to use them to create their own applications or understand existing ones.
By Max Bramer
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Workflow for SAP S/4HANAWhether you're running on-premise SAP S/4HANA or SAP S/4HANA Cloud, get the tools you need to automate your business processes with workflows! Build methods and tasks, define workflows and triggering events, and create notifications with SAP Business Workflow. Walk step by step through standard and custom workflow development using SAP S/4HANA's flexible workflows.
By Arindam Mukherjee, Kiran Viswanathan, Kousik Goon, Naveen Veshala, Nilay Ghosh, Sabyasachi Dutta, Sandip Jana, Srinivas Rao, Yogeendar Rao, Yogesh Sane
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Working with Oracle GoldenGate 12c: From Implementation to TroubleshootingFrom installation to troubleshooting, this book teaches the basics of Oracle GoldenGate, which is a product that is used to simplify the process of Oracle Database Replication.
By Gavin Powell
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A Course in Statistics with RDesigned to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs, this book will help both students and applied statisticians understand R basics and quickly progress to visualization and exploratory analysis.
By B.G. Manjunath, Prabhanjan Narayanachar Tattar, Suresh Ramaiah
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A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in RProviding both introductory and advanced techniques, this single-source guide to R data and its preparation, offers a unified, systematic approach to acquiring, modeling, manipulating, cleaning, and maintaining data in R.
By Lyn R. Whitaker, Samuel E. Buttrey
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A Journey into Data Science: Earning the White CoatAuthored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article will provide a baseline understanding of Data Science and the concepts associated with it.
By Anthony Dutra
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A Practical Guide to Data Mining for Business and IndustryPresenting a user-friendly approach to data mining methods, covering the typical uses to which it is applied, this guide is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications.
By Andrea Ahlemeyer-Stubbe, Shirley Coleman
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A Python Data Analyst's Toolkit: Learn Python and Python-based Libraries with Applications in Data Analysis and StatisticsExplore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write code in Python, and use various Python libraries and functions for analyzing any dataset.
By Gayathri Rajagopalan
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A Roadmap to Green Supply Chains: Using Supply Chain Archaeology and Big Data AnalyticsShowing the relationship between the sustainability movement and supply chains, this book explains how to direct your purchasing power so that you source products that not only fill the needs of your organizations, but that also contribute to the health and well-being of the planet.
By Kevin L. Lyons
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Actionable Web Analytics: Using Data to Make Smart Business DecisionsFor marketers and those who want to think like them, this engaging book should help put the emerging discipline of web analytics into the broader context of classic marketing and branding.
By Jason Burby, Shane Atchison
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Advanced Analytics in Power BI with R and Python: Ingesting, Transforming, VisualizingFor Power users, data analysts, and data scientists, this easy-to-follow guide provides R and Python recipes to help you learn and apply the top languages in the field of data analytics to your work in Microsoft Power BI.
By Ryan Wade
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Advanced Excel Formulas: Unleashing Brilliance with Excel FormulasThe book covers all the most popular functions in Excel including VLOOKUP, SUMPRODUCT, COUNTIFS, MATCH, SORT and so much more. You will learn how to return multiple results with a single formula.
By Alan Murray
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Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and FinanceIncluding a case study project as a take away for readers, this practical book provides an introduction to object-oriented programming in the R programming language and shows you how to use and apply R in an object-oriented manner.
By Thomas Mailund
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Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and VisualizationIncluding case studies throughout, this book shows you how to conduct data analysis using the popular R language.
By Joshua F. Wiley, Matt Wiley
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Advanced Soft Computing Techniques in Data Science, IoT and Cloud ComputingThis book plays a significant role in improvising human life to a great extent.
By PaniAjith Abraham, Subhendu Kumar, Sujata Dash, Yulan Liang
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Advanced Statistics with Applications in RThis book is suitable as a text for senior undergraduate students with major in statistics or data science or graduate students. Many researchers who apply statistics on the regular basis find explanation of many fundamental concepts from the theoretical perspective illustrated by concrete real-world applications.
By Eugene Demidenko
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Advances in Data Science: Symbolic, Complex, and Network DataPresenting a collection of up-to-date papers by eminent scholars following two international workshops held in Beijing and Paris, this book includes fundamental contributions, as well as applications to several domains, including business and the social sciences.
By Edwin Diday, Gilbert Saporta, Huiwen Wang (eds), Rong Guan
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Analytic CombinatoricsComplemented with exercises, examples, appendices and notes to aid understanding, this text is a self-contained treatment of the mathematics underlying the analysis of discrete structures, which has emerged over the past several decades.
By Philippe Flajolet, Robert Sedgewick
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Analytics and Dynamic Customer Strategy: Big Profits from Big DataUsing data from a five-year study to illustrate important concepts and scenarios along the way, this insightful book helps eliminate paralysis-by-analysis and optimize decision making for marketing performance.
By John F. Tanner Jr
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Analytics in a Big Data World: The Essential Guide to Data Science and its ApplicationsIncluding numerous case studies on risk management, fraud detection, customer relationship management, and web analytics, this essential book reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities.
By Bart Baesens
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Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning TechniquesIncluding industrial case studies of various domains, this book will help you examine business problems using a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language.
By Deepti Gupta
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Applied Data Analysis and Modeling for Energy Engineers and ScientistsUsing numerous solved examples, published case studies from the author's own research, and well-conceived problems, this book demonstrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability, statistics, experimental design, and much more.
By T. Agami Reddy
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Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building CycleDiscover the capabilities of PySpark and its application in the realm of data science. This comprehensive guide with hand-picked examples of daily use cases will walk you through the end-to-end predictive model-building cycle with the latest techniques and tricks of the trade.
By Ramcharan Kakarla, Sridhar Alla, Sundar Krishnan
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Applied Data Science: Lessons Learned for the Data-Driven BusinessThe book targets professionals as well as students of data science: first, practicing data scientists in industry and academia who want to broaden their scope and expand their knowledge by drawing on the authors' combined experience.
By Kurt Stockinger, Martin Braschler, Thilo Stadelmann
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Applied Missing Data Analysis in Health SciencesCovering traditional techniques for missing data inference-including likelihood-based, weighted GEE, multiple imputation, and Bayesian methods, this book provides a modern, hands-on guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics.
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Applied Modeling Techniques and Data Analysis 1: Computational Data Analysis Methods and ToolsThis book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 1 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications.
By Alex Karagrigoriou, Christina Parpoula, Christos H. Skiadas, Yannis Dimotikalis
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Applied Modeling Techniques and Data Analysis 2: Financial, Demographic, Stochastic and Statistical Models and MethodsThis book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community.
By Alex Karagrigoriou, Christina Parpoula, Christos H. Skiadas, Yannis Dimotikalis
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Applied Predictive Analytics: Principles and Techniques for the Professional Data AnalystClearly explaining the theory behind predictive analytics, this guide teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling.
By Dean Abbott
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Applied Reinforcement Learning with Python: With OpenAI Gym, Tensorflow, and KerasIntroducing the world of reinforcement learning algorithms and how to apply them to different use-cases via Python, this book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym.
By Taweh Beysolow II
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Applied Statistics: Theory and Problem Solutions with RTaking a practical approach to applied statistics, this user-friendly guide teaches readers how to use methods of statistics and experimental design without going deep into the theory.
By Dieter Rasch, Jürgen Pilz, Rob Verdooren
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Basic Data Analysis for Time Series with RBalancing a theoretical and practical approach to analyzing data within the context of serial correlation, this book emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space.
By DeWayne R. Derryberry
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Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber DucksProbability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don't even understand, meaning they aren't getting the most from it. This fun and friendly guide will change that.
By Will Kurt
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Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorchUtilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection.
By Sridhar Alla, Suman Kalyan Adari
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Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data ScientistPresenting best practices for data analysis and software development in R, this comprehensive book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.
By Thomas Mailund
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Beginning Elastic StackIncluding real-world examples and practical troubleshooting tips, this book will show you how to install, configure and implement the Elastic Stack, the invaluable tool for anyone deploying a centralized log management solution for servers and apps.
By Vishal Sharma
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Beginning Excel What-If Data Analysis Tools: Getting Started with Goal Seek, Data Tables, Scenarios, and SolverExploring the use of Goal Seek, Data Tables, Scenarios, and Solver to help you get insight on your data, this book provides a tutorial treatment of what-if tools in a practical, hands-on manner.
By Paul Cornell
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Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural NetworksEnhance your data science programming and analysis with the Wolfram programming language and Mathematica. The book will introduce you to the language and its syntax, as well as the structure of Mathematica and its advantages and disadvantages.
By Jalil Villalobos Alva
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Beginning XSLT and XPath: Transforming XML Documents and DataAnswering the demand for an introductory book on XSLT processing, this essential guide presents a clear, concise resource on XSLT concepts and methods and explains how and why XSLT relies on the XML Path language (XPath).
By Ian Williams
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Behind Every Good Decision: How Anyone Can Use Business Analytics to Turn Data Into Profitable InsightPacked with examples and exercises, this refreshingly accessible book explains the four fundamental analytic techniques that can help solve a surprising 80 percent of all business problems, and demonstrates how professionals at any level can take the information at their disposal and leverage it to make better decisions.
By Piyanka Jain, Puneet Sharma
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Beyond Spreadsheets with RShowing you how to take raw data and transform it for use in computations, tables, graphs, and more, this unique book provides a toolkit of strategies for analyzing and visualizing data of all sorts using R and RStudio.
By Jonathan Carroll
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Big Data Analytics for Cyber SecurityAuthored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article documents and discusses such examples where big data analytics techniques can be used to tackle some of the difficult security challenges like Advanced Persistent Threat (APT), big ticket breaches plaguing both private and public sectors today.
By Bharath Krishnappa
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Big Data Analytics Strategies for the Smart GridExploring the unique needs of electrical utility grids, including operational technology, IT, storage, processing, and how to transform grid assets for the benefit of both the utility business and energy consumers, this book not only provides specific examples that illustrate how analytics work and how they are best applied, but also describes how to avoid potential problems and pitfalls.
By Carol L. Stimmel
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Big Data Analytics: A Practical Guide for ManagersComparing and contrasting the different types of analysis commonly conducted with big data, this accessible reference presents clear-cut explanations of the general workings of big data tools.
By Kim H. Pries, Robert Dunnigan
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Big Data and Business AnalyticsPacked with case studies and the insights from some of the leading experts and organizations worldwide, this book shows you how to go from being data-rich to insight-rich, improving your decision making and creating competitive advantage.
By Jay Liebowitz (ed)
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Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and AnalyticsPresenting a deep insight into the realm of big data as well as the methodology, technical architecture, analytics techniques and best practices, this handbook describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other.
By Harsha Srivatsa, Madhu Jagadeesh, Soumendra Mohanty
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Big Data MBA: Driving Business Strategies with Data ScienceBased on a practical framework with supporting methodology and hands-on exercises, this book brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage.
By Bill Schmarzo
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Big Data Science in FinanceThis book offers in-depth instruction on how to separate signal from noise, how to deal with missing data values, and how to utilize Big Data techniques in decision-making. Key topics include data clustering, data storage optimization, Big Data dynamics, Monte Carlo methods and their applications in Big Data analysis, and more.
By Irene Aldridge, Marco Avellaneda
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Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's BusinessesBy making the topic accessible through stories, metaphors, and analogies even though it's a technical subject area, this timely book looks at cutting-edge companies supporting an exciting new generation of business analytics.
By Ambiga Dhiraj, Michael Minelli, Michele Chambers
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Big Data, Big Innovation: Enabling Competitive Differentiation through Business AnalyticsEffective management means combining data, people, and analytics to create a synergistic force for innovation and growth. If you want your company to move forward with confidence, this groundbreaking book can show you how to use what you already have and acquire what you need to succeed.
By Evan Stubbs
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Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and PractitionersProviding an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency.
By Jared Dean
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Big Data, Mining, and Analytics: Components of Strategic Decision MakingFilled with examples that illustrate the value of analytics throughout, this book outlines a conceptual framework for data modeling that can help you immediately improve your own analytics and decision-making processes.
By Stephan Kudyba
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Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve PerformanceIllustrated with numerous real-world examples from a cross section of companies and organizations, this practical book will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy.
By Bernard Marr
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Biological Knowledge Discovery Handbook: Preprocessing, Mining and Postprocessing of Biological DataProviding in-depth fundamental and technical field information on the most important topics encountered, this book presents a vast overview of the most recent developments on techniques and approaches in the field of biological knowledge discovery and data mining (KDD).
By Albert Y. Zomaya (eds), Mourad Elloumi
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Build a Career in Data ScienceIncluding clear and simple instructions throughout, this practical resource is your guide to landing your first data science job and developing into a valued senior employee.
By Emily Robinson, Jacqueline Nolis
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Building an Effective Data Science Practice: A Framework to Bootstrap and Manage a Successful Data Science PracticeThis book will enable you to set up an effective team of engineers, data scientists, analysts, and other stakeholders that can collaborate effectively on crucial aspects such as problem formulation, execution of experiments, and model performance evaluation.
By Srinath Krishnamurthy, Vineet Raina
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Building an Enterprise Chatbot: Work with Protected Enterprise Data Using Open Source FrameworksIncluding use-cases from the banking and insurance sector, this book explores the adoption of chatbots in business by focusing on the design, deployment, and continuous improvement of chatbots in a business.
By Abhishek Singh, Karthik Ramasubramanian, Shrey Shivam
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Building Transformer Models with PyTorch 2.0: NLP, Computer Vision, and Speech Processing with PyTorch and Hugging FaceThis book covers transformer architecture for various applications including NLP, computer vision, speech processing, and predictive modeling with tabular data.
By Prem Timsina
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Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business DecisionsIncluding a wealth of real-world examples throughout, this book is an essential primer for those who want to use cutting-edge machine learning to have a real impact on the direction of their business.
By Matt Taddy
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Business Intelligence Guidebook: From Data Integration to AnalyticsDescribing best practices and pragmatic approaches so readers can put them into action, this clear and accessible book takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers.
By Rick Sherman
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Business Intelligence Strategy and Big Data Analytics: A General Management PerspectiveIncluding exercises and case studies with road-tested advice, this book provides ideas for improving the business performance of one's company or business functions, and emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies.
By Steve Williams
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Capitalizing Data Science: A Guide to Unlocking the Power of Data for Your Business and ProductsThis book covers structural and organizational considerations for making a data science team. The book helps recommend the use of optimal data science organization structure based on the company's level of development. Finally, the book explains data science's effects on businesses by assisting technological leaders.
By Mathangi Sri Ramachandran
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Causal Inference in Statistics - A PrimerThis book is accessible to anyone with an interest in interpreting data, from undergraduates, professors, researchers, or to the interested layperson. Examples are drawn from a wide variety of fields, including medicine, public policy, and law; a brief introduction to probability and statistics is provided for the uninitiated; and each chapter comes with study questions to reinforce the readers understanding.
By Judea Pearl, Madelyn Glymour, Nicholas P. Jewell
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Classic Computer Science Problems in PythonThis book deepens your knowledge of problem-solving techniques from the realm of computer science by challenging you with time-tested scenarios, exercises, and algorithms.
By David Kopec
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Cluster Analysis and Data Mining: An IntroductionPlacing emphasis on illustrating the underlying logic in making decisions during the cluster analysis, this book is applicable to either a course on clustering and classification or as a companion text for a first class in applied statistics.
By R.S. King
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Clustering Methodology for Symbolic DataThe book also offers an expansive discussion of data management techniques showing how to manage the large complex dataset into more manageable datasets ready for analysis.
By Edwin Diday, Lynne Billard
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Cognitive Computing and Big Data AnalyticsFeaturing detailed case examples from the financial, healthcare, and manufacturing industries, this comprehensive guide will help technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming.
By Adrian Bowles, Judith Hurwitz, Marcia Kaufman
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Competitive Intelligence for Information ProfessionalsProviding a comprehensive approach to competitive intelligence (CI), this book explores the role of strategic information and intelligence in organizations, offers guidance on how to work strategically with CI, and presents methods for monitoring and analysis with a process-oriented approach.
By Charlotte Håkansson, Margareta Nelke
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Computational Complexity: A Modern ApproachFeaturing more than 300 exercises with a selected hint set, this text describes both recent achievements and classical results of computational complexity theory.
By Boaz Barak, Sanjeev Arora
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Computer Science with Python: CBSE Code 083This book aims to prepare readers for class XI exams for Computer Science with Python (Code 083).
By Meenu Kohli
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Confident Data Science: Discover the Essential Skills of Data ScienceThe global data market is estimated to be worth $64 billion dollars, making it a more valuable resource than oil. But data is useless without the analysis, interpretation and innovations of data scientists.
By Adam Ross Nelson
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Confident Data Skills: Master the Fundamentals of Working with Data and Supercharge Your CareerHelping you master the fundamentals and supercharge your professional abilities, this book provides in-depth international case studies from a wide range of organizations that show successful data techniques in practice and will inspire you to turn knowledge into innovation.
By Kirill Eremenko
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Cool Infographics: Effective Communication with Data Visualization and DesignPresenting the design process and the best software tools for creating infographics that communicate, this essential book will show you how to create infographics to successfully reach your target audience and tell clear stories with your data.
By Randy Krum
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Customer Data Integration: Reaching a Single Version of the TruthWhatever business you're in, you're ultimately in the customer business. This authoritative book shows companies how to deliver an accurate, holistic, and long-term understanding of their customers through CDI.
By Evan Levy, Jill Dyché
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Cyber-Risk Informatics: Engineering Evaluation with Data ScienceProviding a scientific modeling approach for conducting metrics-based quantitative risk assessments of cybersecurity vulnerabilities and threats, this book is purely statistical data-oriented (not deterministic) and employs computationally intensive techniques, such as Monte Carlo and Discrete Event Simulation.
By Mehmet Sahinoglu
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Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI SystemsFeaturing a detailed business case on effective strategies on data visualization, this book looks at Python from a data science point of view and teaches proven techniques for data visualization as used in making critical business decisions.
By Ossama Embarak
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Data Analysis for Business Decisions, Third Edition NEW!In today's data-driven world, the ability to analyze and interpret data is no longer optional-it's a necessity for making informed business decisions. This book provides a comprehensive, hands-on guide to mastering the essential techniques and tools that empower business analysts to transform raw data into actionable insights.
By Andres Fortino
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Data Analysis for Scientists and EngineersA modern, graduate-level text on data analysis techniques, this detailed resource emphasizes the principles behind various techniques so that practitioners can adapt them to their own problems, or develop new techniques when necessary.
By Edward L. Robinson
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Data Analysis Using SAS Enterprise GuideDesigned to be used either as a stand-alone resource or as an accompaniment to a statistics course, this book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data.
By A. J. Guarino, Glenn Gamst, Lawrence S. Meyers
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Data Analysis with Microsoft Access 2010: From Simple Queries to Business IntelligenceThis title will be removed from the Skillsoft library on May 24, 2024.
By Larry Rockoff
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Data Analysis with Python and PySparkData Analysis with Python and PySpark is your guide to delivering successful Python-driven data projects.
By Jonathan Rioux
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Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data VaultDrawing upon years of practical experience and using numerous examples and an easy to understand framework, this timely guide defines the importance of data architecture and how it can be used effectively to harness big data within existing systems.
By Daniel Linstedt, W.H. Inmon
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Data Architecture: From Zen to RealityDiscussing proven methods and technologies to solve the complex issues dealing with data, this book explains the principles underlying data architecture, how data evolves with organizations, and the challenges organizations face in structuring and managing their data.
By Charles D. Tupper
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Data Driven: How Performance Analytics Delivers Extraordinary Sales ResultsBoth engaging and informative, this book is a uniquely practical guide to increasing sales success using the power of data analytics, and shows you how to transform the corporate sales function by leveraging big data into better decision-making, more informed strategy, and increased effectiveness throughout the organization.
By Jenny Dearborn
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Data Engineering and Data Science: Concepts and ApplicationsThis book brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science.
By Aynur Unal, Hari Murthy, Kukatlapalli Pradeep Kumar, M. Niranjanamurthy, Vinay Jha Pillai
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Data Engineering for AI/ML Pipelines: Ultimate Guide to Data Pipelines and Architectures for AI/ML Applications NEW!This book is ideal for software engineers, ML practitioners, IT professionals, and students wanting to master data pipelines for AI/ML. It is also valuable for developers and system architects aiming to expand their knowledge of data-driven technologies.
By Mitesh Mangaonkar, Venkata Karthik Penikalapati
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Data Governance: Creating Value from Information AssetsExamining the processes of using data governance to manage data effectively, this book provides business managers, IT professionals, and students with an integrated approach to designing, developing, and sustaining an effective data governance strategy.
By Neera Bhansali
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Data Insights: New Ways to Visualize and Make Sense of DataPresenting a diverse blend of original illustrations and real-world examples - both classical and cutting-edge, this thought-provoking book offers multi-disciplinary perspectives and useful information about how visualizations can open your eyes to data.
By Hunter Whitney
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Data LakesPresenting recent outcomes and trends in the field of data repositories, this book offers a variety of case studies, thus providing the reader with practical examples of data lake management.
By Anne Laurent, Cédrine Madera (eds), Dominique Laurent
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Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate DetectionProviding readers with a broad range of concepts and techniques while touching on all aspects of the data matching process, this book will help researchers and students familiarize themselves with recent research advances and identify open research challenges in data matching.
By Peter Christen
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Book
Data Mesh: Principles, Patterns, Architecture, And Strategies for Data-Driven Decision MakingThis book guides readers through the nuances of Data Mesh topologies, explaining how they can be tailored to meet specific organizational needs while balancing central control with domain-specific autonomy.
By Pradeep Menon
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Data Mining and Business Analytics with RContaining illustrations which explain how to use the outlined concepts in real-world situations, this thorough book provide readers with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification.
By Johannes Ledolter
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Book
Data Mining and Data WarehousingAddressing the need, the value, and the technological means of acquiring and using information in the information age, this book provides sound and practical inputs to understand, plan and build data warehousing and data mining applications.
By Bharat Bhushan Agarwal, Sumit Prakash Tayal
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Book
Data Mining and Machine Learning in CybersecurityProviding a unified reference for specific machine learning solutions to cybersecurity problems, this book supplies a foundation in cybersecurity fundamentals and surveys contemporary challenges detailing cutting-edge machine learning and data mining techniques.
By Sumeet Dua, Xian Du
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Data Mining and Predictive Analytics, Second EditionApplying a unified "white box" approach to data mining methods and models, this detailed second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis.
By Chantal D. Larose, Daniel T. Larose
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Book
Data Mining and Statistical Analysis Using SQLThis book is aimed at DBAs who want to use SQL to bolster their understanding of statistics to support data mining and customer relationship management analytics.
By John N. Lovett, Jr., Robert P. Trueblood
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Book
Data Mining and Statistics for Decision MakingBeginning with basic principles, and progressing to more advanced topics, this book examines both classical and recent techniques of data mining, such as clustering, discriminant analysis, decision trees, Vapnik theory, naive Bayesian classifier, and more.
By Stéphane Tufféry
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Data Mining Applications with RPresenting various real-world case studies illustrating different techniques in rapidly growing areas, this resource is an ideal companion for data mining researchers in academia and industry looking for ways to turn this versatile software into a powerful analytic tool.
By Yanchang Zhao
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Book
Data Mining for BioinformaticsCovering theory, algorithms, and methodologies, as well as data mining technologies, this authoritative reference provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics.
By Pradeep Chowriappa, Sumeet Dua
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Book
Data Mining for Business Analytics: Concepts, Techniques and Applications in PythonProviding end-of-chapter exercises, and more than a dozen case studies, this thorough resource presents an applied approach to data mining concepts and methods using Python software for illustration.
By Galit Shmueli, Nitin R. Patel, Peter C. Bruce, Peter Gedeck
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Book
Data Mining for Business Analytics: Concepts, Techniques, and Applications in RPresenting an applied approach to data mining concepts and methods, using R software for illustration, this book provides a dozen case studies demonstrating applications for the data mining techniques described.
By Galit Shmueli, Inbal Yahav, Kenneth C. Lichtendahl, Jr., Nitin R. Patel, Peter C. Bruce
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Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP ProPresenting an applied and interactive approach to data mining, this book uses engaging, real-world examples to build a theoretical and practical understanding of key data mining methods, especially predictive models for classification and prediction.
By Galit Shmueli, Mia L. Stephens, Nitin R. Patel, Peter C. Bruce
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Book
Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner, Second EditionIncluding an abundant amount of exercises and examples, this hands-on guide uses real data and actual cases to illustrate the applicability of data mining (DM) intelligence in the development of successful business models.
By Galit Shmueli, Nitin R. Patel, Peter C. Bruce
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Book
Data Mining for DummiesIf you're serious about doing everything you can to push your company to the top, this practical book takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data.
By Meta S. Brown
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Book
Data Mining for Geoinformatics: Methods and ApplicationsIncluding numerous case studies throughout, this unique volume contains a collection of chapters on state-of-the-art data mining techniques applied to geoinformatic problems of high complexity and important societal value.
By Guido Cervone, Jessica Lin, Nigel Waters (eds)
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Book
Data Mining for Intelligence, Fraud & Criminal Detection: Advanced Analytics & Information Sharing TechnologiesWhether investigating money laundering, insider trading, insurance fraud, or terrorist behavior, this book reviews the commonality, framework, and infrastructures necessary to implement complex analytical systems.
By Christopher Westphal
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Book
Data Mining for Managers: How to Use Data (Big and Small) to Solve Business ChallengesChock-full of engaging stories and case studies involving some of the world's top companies, this detailed book provides streamlined insights and techniques for making the most of the masses of information and mining techniques that technology has enabled.
By Richard Boire
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Book
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, Third EditionFeaturing a new marketing technique with each successive chapter, and a demonstration of how you can apply each technique, this book shares invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk.
By Gordon S. Linoff, Michael J.A. Berry
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Book
Data Mining Tools for Malware DetectionIntegrating theory with practical techniques and experimental results, this book provides a step-by-step breakdown of how to develop data mining tools for malware detection such as insider threat detection, firewall policy analysis, and real-time data mining.
By Bhavani Thuraisingham, Latifur Khan, Mehedy Masud
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Book
Data Mining with Microsoft SQL Server 2008Introducing the tools, techniques, and concepts necessary to leverage SQL Server 2008 data mining, this authoritative resource offers practical guidance on how to deploy and use SQL Server data mining for yourself.
By Bogdan Crivat, Jamie MacLennan, ZhaoHui Tang
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Data Mining: Concepts and Techniques, Third EditionPresenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data, this resource is all you need if you want to apply today's most powerful data mining techniques to meet real business challenges.
By Jian Pei, Jiawei Han, Micheline Kamber
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Data Mining: Practical Machine Learning Tools and Techniques, Fourth EditionTeaching readers everything they need to know to get going, this comprehensive resource offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations.
By Christopher J. Pal, Eibe Frank, Ian H. Witten, Mark A. Hall
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Data Mining: Practical Machine Learning Tools and Techniques, Third EditionOffering a thorough grounding in machine learning concepts, this guide provides practical advice on applying machine learning tools and techniques in real-world data mining situations along with tips and techniques for performance improvement.
By Eibe Frank, Ian H. Witten, Mark A. Hall
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Data Modeler's Workbench: Tools and Techniques for Analysis and DesignBringing together the most effective tools for solving common modeling problems, this book provides an example of each tool and describes what it is, why it is needed, and how it is generally used to model data for both databases and data warehouses.
By Steve Hoberman
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Book
Data Points: Visualization That Means SomethingFocusing on the graphics side of data analysis, this guide uses examples from art, design, business, statistics, cartography, and online media to explore both standard-and not so standard-concepts and ideas about illustrating data.
By Nathan Yau
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Book
Data Preparation for Analytics Using SASWritten for those involved in data preparation for analytics, this user-friendly text offers practical SAS coding tips and tricks, and provides readers with a conceptual background on data structures and considerations from the business point of view.
By Gerhard Svolba
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Book
Data Protection: Governance, Risk Management, and ComplianceBy examining the relationships among the pieces of the data protection puzzle, this book explains how to gain a handle on the vital aspects of data protection, and offers a solid understanding of how data protection fits into various organizations.
By David G. Hill
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Book
Data Quality for Analytics Using SASAnalytics offers many capabilities and options to measure and improve data quality, and SAS is perfectly suited to these tasks. This book focuses on selecting the right data sources and ensuring data quantity, relevancy, and completeness.
By Gerhard Svolba
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Data ScienceA concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.
By Brendan Tierney, John D. Kelleher
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Data Science and Analytics for SMEs: Consulting, Tools, Practical Use CasesThis book uses a do-it-yourself approach to analytics and introduces tools that are easily available online and are non-programming based. Data science will allow SMEs to understand their customer loyalty, market segmentation, sales and revenue increase etc. more clearly.
By Afolabi Ibukun Tolulope
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Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting DataSupported and explained with examples that you can replicate using open-source software, this insightful book focuses on concepts, principles and practical applications that are applicable to any industry and technology environment.
By EMC Education Services
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Data Science and Machine Learning Interview Questions Using Python: A Complete Question Bank to Crack Your Interview, 2nd EditionPresenting the important concepts and various terminologies in a very simple and understandable format, this book provides answers to most asked questions in data science and machine learning interviews.
By Vishwanathan Narayanan
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Book
Data Science and Machine Learning Interview Questions Using R: Crack the Data Scientist and Machine Learning Engineers Interviews with EaseProviding answers to the basics, intermediate and advanced questions on R programming, this book covers the frequently asked interview questions and shares insights on the kind of answers that will help you get this job.
By Vishwanathan Narayanan
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Data Science and Productivity AnalyticsThis book includes a spectrum of concepts, such as performance, productivity, operations research, econometrics, and data science, for the practically and theoretically important areas of ‘productivity analysis/data envelopment analysis' and ‘data science/big data'.
By Charles
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Book
Data Science BookcampIn this book you'll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day.
By Leonard Apeltsin
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Book
Data Science for Business Professionals: A Practical Guide for BeginnersA primer into the multidisciplinary world of data science, this book will explain the what and why of data science and its application in creating a real business solutions.
By Probyto Data Science and Consulting Pvt. Ltd.
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Data Science for Decision Makers: Using Analytics and Case Studies NEW!This book is an essential guide for executives, managers, entrepreneurs, and anyone seeking to harness the power of data to drive business success. In today's fast-paced and increasingly digital world, the ability to make informed decisions based on data-driven insights is vital.
By Erik L. Herman
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Data Science For DummiesFrom uncovering rich data sources to managing large amounts of data within hardware and software limitations, ensuring consistency in reporting, merging various data sources, and beyond, this friendly guide will help you develop the know-how you need to effectively interpret data and tell a story that can be understood by anyone in your organization.
By Lillian Pierson
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Data Science for Dummies, 2nd EditionShowing you how data science can help you gain in-depth insight into your business, this practical book is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space.
By Lillian Pierson
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Data Science Fundamentals and Practical Approaches: Understand Why Data Science Is the NextContaining numerous examples and illustrative output, as well as self-assessment questions, this book introduces the fundamental concepts of the different tools and techniques related to Data Science that are widely used in a variety of applications.
By Gypsy Nandi, Rupam Kumar Sharma
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Data Science Fundamentals for Python and MongoDBHelping you build the foundational data science skills necessary to work with and better understand complex data science algorithms, this book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience.
By David Paper
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Data Science Fundamentals Pocket PrimerThis book gives an introduction to some basic features of data analytics and also covers statistics, data visualization, linear algebra, and regular expressions. The book includes numerous code samples using Python, NumPy, R, SQL, NoSQL, and Pandas.
By Oswald Campesato
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Book
Data Science Fundamentals with R, Python, and Open DataIntroduction to essential concepts and techniques of the fundamentals of R and Python needed to start data science projects
By Marco Cremonini
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Book
Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets, 2nd EditionThis book delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various disciplines, like banking, finance, health care, bioinformatics, security, education, and social services.
By Maria C. Mariani, Maria Pia Beccar-Varela, Osei Kofi Tweneboah
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Data Science Programming All-In-One for DummiesWhether you're a beginning student or already mid-career, this friendly guide is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R.
By John Paul Mueller, Luca Massaron
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Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter TuningYour guide to solving practical and real-world problems using data science procedures, this book targets beginner to intermediate data scientists and machine learning engineers who want to learn the full data science process.
By Tshepo Chris Nokeri
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Data Science Solutions with PythonThis book introduces DL and an artificial neural network known as the Multilayer Perceptron (MLP) classifier. A way of performing cluster analysis using the K-Means model is covered. Dimension reduction techniques such as Principal Components Analysis and Linear Discriminant Analysis are explored. And automated machine learning is unpacked.
By Tshepo Chris Nokeri
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Data Science Tools: R, Excel, KNIME, & OpenOfficeIn the world of data science there are myriad tools available to analyze data. This book describes some of the popular software application tools along with the processes for downloading and using them in the most optimum fashion.
By Christopher Greco
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Data Science Using Oracle Data Miner and Oracle R Enterprise: Transform Your Business Systems into an Analytical PowerhouseShowing you how to automate the predictive analytics process using Oracle Advanced Analytics, this thorough book talks about how Oracle Data Miner and Oracle R Enterprise can provide a framework for in-database predictive analytics.
By Sibanjan Das
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Book
Data Science Using Python and RWritten for the general reader with no previous analytics or programming experience, this step-by-step book will show you how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques.
By Chantal D. Larose, Daniel T. Larose
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Data Science with Jupyter: Master Data Science Skills with Easy-to-Follow Python ExamplesIncluding several case studies to help you put your knowledge to practice and solve real-life business problems, this book is your step-by-step guide to practicing data science techniques with Jupyter notebooks.
By Prateek Gupta
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Book
Data Science with Python and DaskThis book is your guide to using Dask for your data projects without changing the way you work!
By Jesse C. Daniel
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Book
Data Science with Raspberry Pi: Real-Time Applications Using a Localized CloudImplement real-time data processing applications on the Raspberry Pi. This book uniquely helps you work with data science concepts as part of real-time applications using the Raspberry Pi as a localized cloud.
By G. Anand, K. Mohaideen Abdul Kadhar
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Data Science: Concepts and Practice, Second EditionWhether you are brand new to data science or working on your tenth project, this book will show you how to analyze data and uncover hidden patterns and relationships to aid important decisions and predictions.
By Bala Deshpande, Vijay Kotu
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Data Science: Create Teams That Ask the Right Questions and Deliver Real ValueWalking you through the process of creating and managing effective data science teams, this essential resource will teach you how to find the right people inside your organization and equip them with the right mindset.
By Doug Rose
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Data Science: Time Complexity, Inferential Uncertainty, and Spacekime AnalyticsThe book includes many illustrations of model-based and model-free spacekime analytic techniques applied to economic forecasting, identification of functional brain activation, and high-dimensional cohort phenotyping.
By Ivo D. Dinov, Milen Velchev Velev
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Data Smart: Using Data Science to Transform Information into InsightData science is little more than using straight-forward steps to process raw data into actionable insight, and in this new book, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet.
By John W. Foreman
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BOOK SUMMARY
Data Smart: Using Data Science to Transform Information into InsightIn his book, Data Smart, author John W. Foreman explains how you can transform raw, meaningless data into information that provides insights into your business. In this Summary, we discuss the salient points of the book based on our interpretation of its contents.
By John W. Foreman
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Data Smart: Using Data Science to Transform Information into Insight, Second EditionLet's be real, data science is presented as something mystical and unattainable without the most powerful software, hardware, and data expertise. Real data science isn't about technology. It's about how you approach the problem.
By Jordan Goldmeier
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Data Visualization for DummiesPart technical manual and part analytical guidebook, this straightforward, full-color resource is the perfect tool for transforming dull tables and charts into high-impact visuals your audience will notice and remember.
By Mico Yuk, Stephanie Diamond
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Data Visualization with JavaScriptShowing you how to use JavaScript, HTML, and CSS to build the most practical visualizations for your data, this book provides step-by-step examples that walk you through creating, integrating, and debugging different types of visualizations.
By Stephen A. Thomas
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Data Wrangling: Concepts, Applications and ToolsData wrangling is the process of cleaning and unifying messy and complex data sets for easy access and analysis.
By Geetika Dhand, Kavita Sheoran, M. Niranjanamurthy, Prabhjot Kaur
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Data Wrangling: Using Pandas, SQL, and JavaThis book is intended primarily for those who plan to become data scientists as wellas anyone who needs to perform data cleaning tasks.
By Oswald Campesato
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Data-Driven Security: Analysis, Visualization and DashboardsUsing a hands-on approach with real-world examples, this practical book shows you how to gather feedback, measure the effectiveness of your security methods, and make better decisions.
By Bob Rudis, Jay Jacobs
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Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch, Second EditionMaster the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice.
By Jojo Moolayil, Nikhil Ketkar
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Deep Reinforcement Learning with Python: With PyTorch, TensorFlow and OpenAI GymDeep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding exercises.
By Nimish Sanghi
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Design Science Research Methods and Patterns: Innovating Information and Communication Technology, Second EditionDescribing a simple and practical methodology for conducting cutting-edge design science research (DSR), this resource provides comprehensive guidance on how to conduct such research and supplies in-depth treatment of design science theory and the different types of theory that can be generated in design science research.
By Vijay K. Vaishnavi, William Kuechler, Jr.
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Designing User Interfaces With a Data Science ApproachDesigning User Interfaces With a Data Science Approach promotes the inclusion of more diversified users for user-centered designs of applications across domains and analyzes user data with a data science approach for effective and user-friendly user interface designs.
By Abhijit Narayanrao Banubakode, Chhaya Santosh Gosavi, Ganesh Dattatray Bhutkar, Yohannes Kurniawan
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Developing Analytic Talent: Becoming a Data ScientistComplete with case studies, this unique book explains that data scientists are in demand, and shows you exactly what employers want and the skill set that separates the quality data scientist from other talented IT professionals.
By Vincent Granville
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Discovering Knowledge in Data: An Introduction to Data Mining, Second EditionDemonstrating how to leverage a company's existing databases to increase profits and market share, this book provides the tools needed to thrive in today's big data world and carefully explains the most current data science methods and techniques.
By Chantal D. Larose, Daniel T. Larose
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Discrete Calculus: Applied Analysis on Graphs for Computational ScienceProviding many example applications from several fields of computational science, this unique text brings together into a single framework current research in the three areas of discrete calculus, complex networks, and algorithmic content extraction.
By Jonathan R. Polimeni, Leo J. Grady
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Discrete MathematicsSimple and easy-to-understand, this book provides concepts and principles that help students to understand general concepts of computer science.
By Neeru Sharma
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Discrete Mathematics and Structures, Sixth EditionWith each new concept reinforced by numerous solved examples, this book helps readers develop mathematical maturity and understand the basic concepts of discrete mathematics and structures.
By Satinder Bal Gupta
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Doing Bayesian Data Analysis: A Tutorial with R and BUGSProviding complete examples with the R programming language and BUGS software, this book begins with the basics, including essential concepts of probability and random sampling, then gradually climbs all the way to advanced hierarchical modeling methods for realistic data.
By John K. Kruschke
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Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More!Showing you how to use Python to delve into high school-level math topics like statistics, geometry, probability, and calculus, this book will start you with simple projects before moving on to more complex projects once you've gotten the hang of things.
By Amit Saha
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Econometrics and Data ScienceThis book demonstrates unsupervised machine learning techniques such as principal component analysis and cluster analysis. Key deep learning concepts and ways of structuring artificial neural networks are explored along with training them and assessing their performance.
By Tshepo Chris Nokeri
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Econometrics in PracticeThis book covers the econometric methods necessary for a practicing applied economist or data analyst. This requires both an understanding of statistical theory and how it is used in actual applications.
By Paul Turner PhD
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Excel 2021 / Microsoft 365 Programming By ExampleUpdated for Excel 2021 and based on the bestselling editions from previous versions, Excel 2021 / Microsoft 365 Programming by Example is a practical, how-to book on Excel programming, suitable for readers already proficient with the Excel user interface.
By Julitta Korol
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Excel 2022 Pro 100 + PivotTables, Charts & Reports: Explore Excel 2022 with Graphs, Animations, Sparklines, Goal Seek, Histograms, Correlations, DashboardsNo matter what your professional or academic status is, if you often engage in data analysis, summary creation, and report writing, this book is for you.
By Dr. Isaac Gottlieb
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Excel Data Analysis For Dummies, 3rd EditionShowing you how to leverage Microsoft Excel to take your data analysis to new heights by uncovering what is behind all of those mind-numbing numbers, this easy-to-read guide will show you how to use Excel in conjunction with external databases, how to fully leverage PivotTables and PivotCharts, how to visually present your data so it makes sense, and offers information about the fancier, more advanced tools for those who have mastered the basics.
By Elizabeth C. Nelson, Stephen L. Nelson
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Excel Data Analysis: Your Visual Blueprint for Analyzing Data, Charts, and PivotTables, 4th EditionAimed at Excel power users who appreciate logical, clean explanations of techniques, this visual guide features screenshots and easy-to-follow numbered steps which show you how to perform professional-level modeling, charting, data sharing, data access, data slicing, and other functions.
By Paul McFedries
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Fast Python: High Performance Techniques For Large DatasetsMaster Python techniques and libraries to reduce run times, efficiently handle huge datasets, and optimize execution for complex machine learning applications.
By Tiago Rodrigues Antao
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Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in PythonDiscover key information buried in the noise of data by learning a variety of anomaly detection techniques and using the Python programming language to build a robust service for anomaly detection against a variety of data types.
By Kevin Feasel
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Foundations of Data Intensive Applications: Large Scale Data Analytics under the HoodThis book will discuss foundational components of large-scale data systems and walk readers through the major software design decisions that define performance, application type, and usability. You'll learn how to recognize problems in your applications resulting in performance and distributed operation issues, diagnose them, and effectively eliminate them by relying on the bedrock big data principles explained within.
By Saliya Ekanayake, Supun Kamburugamuve
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Foundations of Geometric Algebra ComputingSuitable for students, engineers, and researchers in computer science, computational engineering, and mathematics, this book lays the foundations for the widespread use of geometric algebra as a powerful, intuitive mathematical language for engineering applications in academia and industry.
By Dietmar Hildenbrand
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Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud DetectionEarly detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation.
By Bart Baesens, Véronique Van Vlasselaer, Wouter Verbeke
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Frequent Pattern MiningIncluding surveys on key research content, case studies and future research directions, this comprehensive reference proposes numerous methods to solve some of the most fundamental problems in data mining and machine learning.
By Charu C. Aggarwal, Jiawei Han (eds)
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Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and FinanceOffering an exhaustive description of how functions are defined and used, this unique and concise resource provides an introduction to functions in R and how to write functional programs in R.
By Thomas Mailund
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Fundamental Statistical Inference: A Computational ApproachProviding complete derivations of results, discussions, and MATLAB programs for computation, this clear and accessible book for beginning graduate students offers a practical and detailed approach to the field of statistical inference.
By Marc S. Paolella
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Fundamentals of Predictive Text Mining, Second EditionProviding helpful advice illustrated by examples and case studies, this unique guide on predictive text mining offers a unified perspective on a rapidly evolving field, integrating topics spanning the varied disciplines of data science, machine learning, databases, and computational linguistics.
By Nitin Indurkhya, Sholom M. Weiss, Tong Zhang
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Fuzzy Transforms for Image Processing and Data Ana: Core Concepts, Processes and ApplicationsThis book analyzes techniques that use the direct and inverse fuzzy transform for image processing and data analysis.
By Dr. Ferdinando Di Martino, Dr. Sessa Salvatore
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Game Analytics: Maximizing the Value of Player DataWith numerous case studies from industry and research, this book provides an in-depth discussion of game analytics and its practical applications, and is essential reading for developers, researchers and students on the current industry-wide adoption of data-driven methods for game development.
By Alessandro Canossa, Anders Drachen, Magy Seif El-Nasr
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Geoprocessing with PythonThanks to dozens of open source Python libraries and tools, you can take on professional geoprocessing tasks without investing in expensive proprietary packages like ArcGIS and MapInfo. The book shows you how.
By Chris Garrard
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Getting Started with Data Science: Making Sense of Data with AnalyticsThrough a powerful narrative packed with unforgettable stories, this easy-to-read book offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities.
By Murtaza Haider
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Graph Analysis and Visualization: Discovering Business Opportunity in Linked DataBringing graph theory out of the lab and into the real world, this thorough book uses sophisticated methods and tools that span analysis functions and show you how to exploit graph and network analytic techniques to enable the discovery of new business insights and opportunities.
By David Jonker, Richard Brath
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Guerrilla Analytics: A Practical Approach to Working with DataIllustrated with simple examples, practice tips, and war stories based on real-world project challenges, this book provides simple rules of thumb for maintaining data provenance across the entire analytics life cycle from data extraction, through analysis to reporting.
By Enda Ridge
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Guerrilla Data Analysis Using Microsoft Excel, 2nd EditionUsing real-life examples of real-life management requests, this thorough guide walks you through the maze of Excel tools and formulas that not only cuts valuable time out of the process, but teaches you in plain English how to overcome the most common analytical obstacles.
By Bill Jelen, Oz du Soleil
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Handbook of Computational Sciences: A Multi and Interdisciplinary ApproachThe Handbook of Computational Sciences is a comprehensive collection of research chapters that brings together the latest advances and trends in computational sciences and addresses the interdisciplinary nature of computational sciences, which require expertise from multiple disciplines to solve complex problems.
By Ahmed A. Elngar, Krishna Kant Singh, Vigneshwar. M., Zdzislaw Polkowski
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Handbook of Statistical Analysis and Data Mining ApplicationsPresenting clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, this comprehensive reference discusses their application to real problems, in ways accessible and beneficial to practitioners across all industries.
By Gary Miner, John Elder, Robert Nisbet
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Hands-on Data Analysis and Visualization with Pandas: Engineer, Analyse and Visualize Data, Using Powerful Python LibrariesThe book will start with quick introductions to Python and its ecosystem libraries for data science such as JupyterLab, Numpy, Pandas, SciPy, Matplotlib, and Seaborn.
By PURNA CHANDER RAO. KATHUL
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Hands-on Matplotlib: Learn Plotting and Visualizations with Python 3, 1st EditionThis book focuses heavily on various data visualization techniques and will help you acquire expert-level knowledge of working with Matplotlib, a MATLAB-style plotting library for Python programming language that provides an object-oriented API for embedding plots into applications.
By Ashwin Pajankar
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Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with PythonProviding examples in Python that are made specifically for data science, this book combines the Anaconda Python distribution with the popular Scikit-Learn library to demonstrate a wide range of supervised and unsupervised machine learning algorithms.
By David Paper
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Harness Oil and Gas Big Data with Analytics: Optimize Exploration and Production with Data Driven ModelsIncluding a compendium of specific case studies, the book underscores the acute need for optimization in the oil and gas exploration and production stages and shows how data analytics can provide such optimization.
By Keith R. Holdaway
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High Impact Data Visualization in Excel with Power View, 3D Maps, Get & Transform and Power BI, Second EditionCovering new features and added support for visualization in Excel 2016, this essential book helps in harnessing the power of Microsoft's flagship, self-service business intelligence suite to deliver compelling and interactive insight with remarkable ease.
By Adam Aspin
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High Impact Data Visualization with Power View, Power Map, and Power BIHelping you master this suite of powerful tools from Microsoft, this insightful guide helps you take business intelligence delivery to a new level that is interactive, engaging, even fun, all while driving commercial success through sound decision-making.
By Adam Aspin
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How to Lead in Data ScienceThis book shares unique leadership techniques from high-performance data teams.
By Jike Chong, Yue Cathy Chang
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Hyperdocumentation, Volume 9The leading discussions on this topic bring in diverse ideas such as that of data, the fantasy of Big Data, cloud computing, artificial intelligence, algorithmic processing, the flow of information and the outstanding successes of disinformation
By Olivier Le Deuff
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IBM SPSS Essentials: Managing and Analyzing Social Sciences Data, 2nd EditionThis book is perfect for undergraduate students of the social sciences who are just getting started with SPSS, SPSS Essentials also belongs on the bookshelves of advanced placement high school students and practitioners in social science who want to brush up on the fundamentals of this powerful and flexible software package.
By Adam M. Smith, John T. Kulas, Renata Garcia Prieto Palacios Roji
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Information Quality: The Potential of Data and Analytics to Generate KnowledgeShowcasing numerous case studies in a variety of application areas, this thorough book provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis.
By Galit Shmueli, Ron S. Kenett
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Information Security Risk Assessment Toolkit: Practical Assessments Through Data Collection and Data AnalysisBased on the authors' experiences of real-world assessments, reports, and presentations, this thorough book gives you the tools and skills to get a quick, reliable, and thorough risk assessment for key stakeholders.
By Jason L. Martin, Mark Ryan M. Talabis
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Intelligent Systems for Engineers and Scientists, Third EditionWhether you are building intelligent systems or you simply want to know more about them, this detailed guide provides you with detailed and up-to-date guidance that will help you develop your own intelligent systems for real applications.
By Adrian A. Hopgood
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Introducing Data Science: Big Data, Machine Learning, and More, using Python ToolsThis book teaches you how to accomplish the fundamental tasks that occupy data scientists.
By Arno D. B. Meysman, Davy Cielen, Mohamed Ali
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Introduction to Data Mining and Soft Computing TechniquesWritten for students, software professionals, and researchers, this book provides chapter summaries, review questions, and multiple-choice quizzes to explain data mining and soft computing, the fastest growing technology for the business world.
By M. Ramakrishna Murthy
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Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image ProcessingContaining coding examples, tricks, and insights, this book covers the latest developments in Deep Learning and offers concrete advice on how to implement Deep Learning in your business.
By Armando Vieira, Bernardete Ribeiro
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Introduction to HPC with MPI for Data ScienceIncluding exercises and an overall exam, this book provides a gentle introduction to the topic and has been designed as a first course for undergraduates on parallel programming on distributed memory models, and requires only basic programming notions.
By Frank Nielsen
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Introduction to Linear Regression Analysis, Fifth EditionPresenting both the conventional and less common uses of linear regression in today's cutting-edge scientific research, this book blends theory and application to equip readers with an understanding of the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences.
By Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
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Introductory Statistics and Analytics: A Resampling PerspectivePresenting an accessible approach to statistical analytics, resampling, and the bootstrap for readers with various levels of exposure to basic probability and statistics, this book primarily focuses on applications of statistical concepts developed via resampling, with a background discussion of mathematical theory.
By Peter C. Bruce
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It's Not the Size of the Data -- It's How You Use It: Smarter Marketing with Analytics and DashboardsShowing you how to use marketing analytics to improve decisions and reap rewards, this step-by-step guide supplies a simple yet rigorous methodology and wealth of case studies to help any size organization, in any industry, turn data into productive action.
By Koen Pauwels
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JavaScript and jQuery for Data Analysis and VisualizationDemonstrating each technique with real-world cases, this step-by-step guide shows data analysts, developers, and web designers how they can put the power and flexibility of modern JavaScript libraries to work to analyze data and then present it using best-of-breed visualizations.
By Graham Murray, Jon J. Raasch, Joseph Lowery, Vadim Ogievetsky
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JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fifth EditionFeaturing concept-specific lessons, examples, step-by-step illustrations, and exercises, this book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use the intuitive interface for data analysis in JMP.
By Ann Lehman, John Sall, Lee Creighton, Mia Stephens
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Jumpstart Tableau: A Step-By-Step Guide to Better Data VisualizationCovering the basic reporting and analysis functions that most BI users perform in their day-to-day work, this practical book simplifies the use of Tableau software functionality for novice users so that they can create powerful data visualizations easily and quickly.
By Arshad Khan
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Large-Scale Data AnalyticsWith many tips and insights from experience professionals, this book presents research that will help shape the future of large-scale data analytics, leading the way to the design of new approaches and technologies that can analyze and synthesize very large amounts of heterogeneous data.
By Abderrahim Labbi (eds), Aris Gkoulalas-Divanis
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Learn Data Analysis with Python: Lessons in CodingA quick and practical hands-on guide to learning and using Python in data analysis, this book includes three exercises and a case study on getting data in and out of Python code in the right format.
By A.J. Henley, Dave Wolf
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Learn Data Science from Scratch: Mastering ML and NLP with Python in a step-by-step approachThis book is ideal for beginners with a basic understanding of programming, particularly in Python, and a foundational knowledge of mathematics. It is well-suited for aspiring data scientists and analysts.
By Pratheerth Padman
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Learn Data Science Using SAS Studio: A Quick-Start GuideDo you want to create data analysis reports without writing a line of code? This book introduces SAS Studio, a free data science web browser-based product for educational and non-commercial purposes.
By Engy Fouda
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Learn PySpark: Build Python-based Machine Learning and Deep Learning ModelsLeverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to learn to use this language to perform exploratory data analysis and solve an array of business challenges.
By Pramod Singh
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Learn R for Applied Statistics: With Data Visualizations, Regressions, and StatisticsFor those who want to learn R programming for statistics, this resource is a timely skills-migration book that equips you with the R programming fundamentals and introduces you to applied statistics for data explorations.
By Eric Goh Ming Hui
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Learn RStudio IDE: Quick, Effective, and Productive Data ScienceFor programmers who want to start doing data science, but don't know what tools to focus on, this book is a quick, no-nonsense tutorial of RStudio that will give you a head start to develop the insights you need in your data science projects.
By Matthew Campbell
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Linear Algebra Tools for Data MiningAccompanied by more than 550 exercises and supplements, many with complete solutions and MATLAB applications, this comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields.
By Dan A. Simovici
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Machine Learning with Spark and Python: Essential Techniques for Predictive Analysis, Second EditionDesigned specifically for those without a specialized math or statistics background, this book simplifies machine learning by focusing on two algorithm families that effectively predict outcomes, and by showing you how to apply them using the Python programming language.
By Michael Bowles
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Make Your Data Speak: Creating Actionable Data through Excel For Non-Technical ProfessionalsThe information in this book is presented in an accessible and understandable way for everyone, regardless of the level of technical skills and proficiency in MS Excel.
By Alex Kolokolov
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Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second EditionBased on the authors' practical experience in implementing data analysis and data mining, this proven go-to guide focuses on basic data analysis approaches that are necessary to make timely and accurate decisions in a diverse range of projects.
By Glenn J. Myatt, Wayne P. Johnson
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Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and ApplicationsDetailing how to define a problem, perform an analysis, and deploy the results, this indispensible book equips readers with advanced data mining methods that are needed to successfully translate raw data into smart decisions across various fields of research.
By Glenn J. Myatt, Wayne P. Johnson
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Making Sense of Data III: A Practical Guide to Designing Interactive Data VisualizationsIncluding step-by-step examples and numerous exercises, this indispensable book describes the best approach for designing and implementing interactive graphics and visualizations that play a central role in data exploration and decision-support systems.
By Glenn J. Myatt, Wayne P. Johnson
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Malware Data Science: Attack Detection and AttributionWhether you're a malware analyst looking to add skills to your existing arsenal, or a data scientist interested in attack detection and threat intelligence, this thorough introduction will help you stay ahead of the curve.
By Hillary Sanders, Joshua Saxe
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Managing Data in Motion: Data Integration Best Practice Techniques and TechnologiesPresenting a vendor-neutral approach to moving data between computing environments and systems, this book provides the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment.
By April Reeve
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Managing Your Data Science Projects: Learn Salesmanship, Presentation, and Maintenance of Completed ModelsThis audio book explores important concepts that are frequently overlooked in much of the instructional literature that is available to data scientists new to the field.
By Robert de Graaf
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Mastering Advanced Excel - With ChatGPT Integration: Learn Formulas and Functions, Advance Pivot Tables, Macros, VBA Coding, ChatGPT Integration with ExercisesThis book is a comprehensive guide that explores the advanced features of Microsoft Excel.
By Ritu Arora
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Mastering Marketing Data Science: A Comprehensive Guide for Today's MarketersUnlock the Power of Data: Transform Your Marketing Strategies with Data Science
By Iain Brown
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Mathematical Methods in Science and Engineering, Second EditionMaking complex tools accessible, this invaluable resource provides students and scientists with a detailed mathematical reference for advanced analysis and computational methodologies.
By Selçuk Ş. Bayın
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Mathematical Problems in Data Science: Theoretical and Practical MethodsContaining state-of-the-art knowledge for researchers in data science, this concise book is a valuable resource for researchers and professionals working in data science, information systems and networks.
By Bo Jiang, Li M. Chen, Zhixun Su
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Mathematical StatisticsExploring mathematical statistics in its entirety-from the fundamentals to modern methods, this book introduces readers to point estimation, confidence intervals, and statistical tests.
By Dieter Rasch, Dieter Schott
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Mathematical Statistics with Resampling and R, Second EditionIncluding new exercises and examples, case studies, data sets, and R code, this accessible resource presents a revised and updated guide for applying the most current resampling techniques to mathematical statistics.
By Laura M. Chihara, Tim C. Hesterberg
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Mathematical Statistics: An Introduction to Likelihood Based InferenceIncluding numerous examples, case studies, and exercises, this book presents a unified approach to parametric estimation, confidence intervals, hypothesis testing, and statistical modeling, which are uniquely based on the likelihood function.
By Richard J. Rossi
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Mathematics in Computing: An Accessible Guide to Historical, Foundational and Application ContextsOffering many pedagogical features such as key topics, introductions and summaries, review questions, and a glossary, this clearly written and enlightening textbook provides a concise, introductory guide to the key mathematical concepts and techniques used by computer scientists.
By Gerard O'Regan
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MCQ for Data Science Users: Prepare for Success With 5000+ Data Science Multiple-Choice QuestionsThis book is a comprehensive manual created to assess and improve your comprehension of many concepts and methodologies in data science.
By Dr. Brijesh Bakariya, Dr. Dhananjay Bisen, Dr. Neeraj Sahu
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Metaprogramming in R: Advanced Statistical Programming for Data Science, Analysis and FinanceAn introduction to metaprogramming in the R language, this book shows you how to leverage R's natural flexibility in how function calls and expressions are evaluated, to create small domain-specific languages to extend R within the R language itself.
By Thomas Mailund
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Microsoft Excel Functions and Formulas, Sixth Edition: With Excel 2021 / Microsoft 365In this completely updated edition covering Excel 2021, Microsoft 365, and previous versions, Microsoft Excel Functions & Formulas Sixth Edition demonstrates the secrets of Excel through the use of practical anduseful examples in a quick reference format.
By Bernd Held, Brian Moriarty, Theodor Richardson
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Microsoft Excel Professional 2021 Guide: A Complete Excel Reference, Loads of Formulas and Functions, Shortcuts, and Numerous Screenshots to Become an Excel ExpertStudents, recent graduates, and professionals, such as Accountants, Retail Managers, Sales Executives, Business Analysts, Administrative Assistants, and HR Professionals who want to boost their day-to-day data management and analytical skills, will find this book to be an invaluable resource.
By CA Manmeet Singh Mehta
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Minding the Machines: Building and Leading Data Science and Analytics Teamshe book explores the tasks, strategies, methods, and frameworks necessary for an organization beginning their first foray into the analytics space or one that is rebooting its team for the umpteenth time in search of success.
By Jeremy Adamson
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Mining of Massive Datasets, Second EditionIncluding a range of over 150 exercises to challenge even the most able student, this essential book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to even the largest datasets.
By Anand Rajaraman, Jeffrey David Ullman, Jure Leskovec
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Mining Text DataIntroducing an important niche in the text analytics field, this unified book discusses a wide swath in classical methods such as clustering, classification and topic modeling, as well as more modern text mining applications in social and information networks, and social media.
By Charu C. Aggarwal, ChengXiang Zhai (eds)
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MIT Sloan Management Review Article on Getting Serious About Data and Data ScienceThis article from MIT Sloan Management Review talks about how companies need to shift goals, muster resources, and align people in order to implement successful data programs.
By Thomas C. Redman, Thomas H. Davenport
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MIT Sloan Management Review Article on The Recession's Impact on Analytics and Data ScienceThis article from MIT Sloan Management Review discusses how there has been a huge demand for data scientists in the past decade and wonders if it is about to change.
By Jeffrey D. Camm, Melissa R. Bowers, Thomas H. Davenport
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MIT Sloan Management Review Article on The Rise of Connector Roles in Data ScienceConnectors can bridge the organizational gaps that often thwart success with data science projects. Here's how to manage this new kind of data professional.
By Thomas C. Redman, Thomas H. Davenport
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MIT Sloan Management Review Article on To Succeed With Data Science, First Build the ‘Bridge'This article from MIT Sloan Management Review shows that a new organizational structure is needed in order to better align data teams with business operations.
By Diego Kuonen, Roger W. Hoerl, Thomas C. Redman
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MIT Sloan Management Review Article on Using Data Science to Avoid Global Pricing ChaosThis article from MIT Sloan Management Review talks about what every industry can learn from luxury fashion.
By Andrea Marron
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Modeling and Simulating Command and Control: For Organizations Under Extreme SituationsPresenting examples from naval-air defense, counterterrorism operations, and disaster responses, this book discusses how to design and conduct virtual experiments on resilient organizational structures and operational practices using modeling and simulation.
By Il-Chul Moon, Kathleen M. Carley, Tag Gon Kim
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Multimodal Affective Computing: Technologies and Applications in Learning EnvironmentsThis book explores AI methodologies for the implementation of affective states in intelligent learning environments.
By Hugo Jair Escalante, Héctor Manuel Cárdenas López, Ramón Zatarain Cabada
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Multisensory Experiences Where the senses meet technologyThis book looks at this trend and offers a comprehensive introduction to the dynamic world of multisensory experiences and design.
By Carlos Velasco, Marianna Obrist
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Natural Language Processing and Text MiningBringing together various perspectives from internationally renowned researchers, this text also explores a variety of real-world applications of NLP and text-mining algorithms, placing emphasis on the description of end-to-end solutions to real problems.
By Anne Kao, Steve R. Poteet (eds)
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Networks, Second EditionThis book brings together the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.
By Mark Newman
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Normalization of Multidimensional Data for Multi-Criteria Decision Making Problems: Inversion, Displacement, AsymmetryThis book presents a systematic review of multidimensional normalization methods and addresses problems frequently encountered when using various methods and ways to eliminate them.
By Irik Z. Mukhametzyanov
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Numerical Computations with GPUsBringing together research on numerical methods adapted for Graphics Processing Units (GPUs), this invaluable book explains recent efforts to adapt classic numerical methods, including solution of linear equations and FFT, for massively parallel GPU architectures.
By Volodymyr Kindratenko (ed)
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Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib, Second EditionLeverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more.
By Robert Johansson
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Optimize Your Greatest Asset: Your People: How to Apply Analytics to Big Data to Improve Your Human Capital InvestmentsPacked with practical examples and case studies, this detailed guide brings advanced analytics into Human Resources, giving you a framework for optimizing human capital investments through predictive analysis.
By Gene Pease
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Pandas BasicsThis book is intended for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks using Pandas and NumPy.
By O. Campesato
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Pandas in 7 Days: Utilize Python to Manipulate Data, Conduct Scientific Computing, Time Series Analysis, and Exploratory Data AnalysisIf you're looking to expedite a data science or sophisticated data analysis project, you've come to the perfect place. Each data analysis topic is covered step-by-step with real-world examples.
By Fabio Nelli
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Person Re-IdentificationTaking a strong multidisciplinary approach, this text provides an in-depth discussion of recent developments and state-of-the-art methods drawn from the computer vision, pattern recognition and machine learning communities, embracing both fundamental research and practical applications.
By Chen Change Loy (eds), Marco Cristani, Shaogang Gong, Shuicheng Yan
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Perspectives on Data Science for Software EngineeringPresenting the best practices of seasoned data miners in software engineering, this book offers unique insights into the wisdom of the community's leaders gathered to share hard-won lessons from the trenches.
By Laurie Williams, Thomas Zimmermann (eds), Tim Menzies
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Practial Recommender SystemsThis book explains how recommender systems work and shows how to create and apply them for your site.
By Kim Falk
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Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach, 2nd EditionThis book illustrates how data can be useful in solving business problems. It explores various analytics techniques for using data to discover hidden patterns and relationships, predict future outcomes, optimize efficiency and improve the performance of organizations.
By Umesh R. Hodeghatta, Umesha Nayak
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Practical Data Analysis and Reporting with BIRT: Use the Open-source Eclipse-Based Business Intelligence and Reporting Tools System to Design and Create Reports as Quickly as PossibleSteering readers through each point of reporting from setup, to scripting, designing, formatting, and deploying BIRT reports, this concise, practical guide will help you get results as quickly as possible.
By John Ward
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Practical Data MiningRevealing the lessons known to the seasoned expert, yet rarely written down for the uninitiated, this working field manual outlines the what, when, why, and how of data mining and offers an easy-to-follow, six-step spiral process.
By Monte F. Hancock, Jr.
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Practical Data Science with Jupyter: Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Machine Learning using Python and Jupyter (English Edition)This book begins with an introduction to Data Science followed by the Python concepts. The readers will understand how to interact with various database and Statistics concepts with their Python implementations.
By Prateek Gupta
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Practical Data Science with Python 3: Synthesizing Actionable Insights from DataProviding insight into essential data science skills in a holistic manner, this book will empower you to analyze data, formulate proper questions, and produce actionable insights, three core stages in most data science endeavors.
By Ervin Varga
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Practical Data Science with R, Second EditionProviding numerous tools, modeling techniques, and real-world use cases, this invaluable resource takes a practice-oriented approach to explaining basic principles in the ever-expanding field of data science.
By John Mount, Nina Zumel
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Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Business AssetsDemonstrating how to build and provision a technology stack to yield repeatable results, this detailed guide shows you how to apply practical methods to extract actionable business knowledge from data lakes consisting of data from a polyglot of data types and dimensions.
By Andreas François Vermeulen
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Practical DataOps: Delivering Agile Data Science at ScaleHelping you get past challenges, barriers, and bottlenecks to create value from data, this book will give you a practical introduction to DataOps, a new discipline for delivering data science at scale inspired by practices at companies such as Facebook, Uber, LinkedIn, Twitter, and eBay.
By Harvinder Atwal
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Practical Enterprise Data Lake Insights: Handle Data-Driven Challenges in an Enterprise Big Data LakeUse this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues.
By Saurabh Gupta, Venkata Giri
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Practical Interfacing in the Laboratory: Using a PC for Instrumentation, Data Analysis, and ControlIncluding numerous laboratory exercises and appendices that provide practical information on microcomputer architecture and interfacing, this book describes how to use a desktop computer to monitor and control laboratory experiments.
By Stephen E. Derenzo
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Practical Machine Learning in RA perfect guide for professional self-taught learners or students in an introductory machine learning course, this book explains what machine learning is, demonstrates its organizational benefits, and provides hands-on examples created in the R programming language.
By Fred Nwanganga, Mike Chapple
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Practical Python Data Visualization: A Fast Track Approach to Learning Data Visualization with PythonQuickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This book's programming-friendly approach using libraries such as leather, NumPy, Matplotlib, and Pandas will serve as a template for business and scientific visualizations.
By Ashwin Pajankar
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Practical Text Analytics: Interpreting Text and Unstructured Data for Business IntelligenceIncluding illustrations and charts, hints and tips, definitions, and case studies/examples, this accessible guide to the many advances in text analytics explains the different approaches and methods, their uses, strengths, and weaknesses, in a way that is relevant to marketing professionals.
By Steven Struhl
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Practical Text Mining and Statistical Analysis for Non-structured Text Data ApplicationsIncluding extensive case studies, most in a tutorial format, this comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis.
By Gary Miner, et al.
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Practical Web Scraping for Data Science: Best Practices and Examples with PythonIncluding many larger, fully worked out examples, this book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices.
By Bart Baesens, Seppe vanden Broucke
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Practitioner's Guide to Data Science: Streamlining Data Science Solutions using Python, Scikit-Learn, and Azure ML Service PlatformThis book provides an in-depth look at the current state of the world's data and how Data Science plays a pivotal role in everything we do.
By Nasir Ali Mirza
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Predictive Analytics and Data Mining: Concepts and Practice with RapidMinerWhether you are brand new to data mining or working on your tenth project, this easy-to-understand book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions.
By Bala Deshpande, Vijay Kotu
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Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and MethodsHelping managers make the most of data technologies in their business area, this easy to read, in-depth guide provides readers with a solid understanding of predictive analytics, and how it should be applied to improve business decision-making and operational efficiency.
By Steven Finlay
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Predictive Marketing: Easy Ways Every Marketer Can Use Customer Analytics and Big DataOffering practical tips and actionable strategies for implementing more personalized marketing immediately, this book provides the information and insight you need to lift your organization out of the campaign rut and into the rarefied atmosphere of a truly personalized customer experience.
By Dominique Levin, Ömer Artun
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Principles of Data IntegrationProviding an extensive introduction to the theory and concepts underlying today's data integration techniques, this practical guide offers detailed, instruction for their application using concrete examples throughout to explain the concepts.
By Alon Halevy, AnHai Doan, Zachary Ives
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Principles of Data MiningA comprehensive, highly technical look at the math and science behind extracting useful information from large databases.
By David Hand, Heikki Mannila, Padhraic Smyth
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Principles of Data Mining, Second EditionPresenting the principal techniques of data mining for classification, association rule mining and clustering, this practical guide clearly explains each topic and illustrates them through detailed worked examples, with a focus on algorithms rather than mathematical formalism.
By Max Bramer
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Principles of Managerial Statistics and Data ScienceThis book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented.
By Roberto Rivera
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Pro Data Visualization using R and JavaScriptCombining the power of the R language with the simplicity and familiarity of JavaScript, this book shows you how to use R to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way.
By Tom Barker
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Pro Data Visualization Using R and JavaScript: Analyze and Visualize Key Data on the WebThis book is for programmers and data scientists/analysts who have some prior experience with R and JavaScript.
By Jon Westfall, Tom Barker
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Probability with R: An Introduction with Computer Science Applications, 2nd EditionThis book provides a comprehensive introduction to probability with an emphasis on computing-related applications.
By Jane M. Horgan
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Book
Probability, Statistics, and Random SignalsThis book offers a comprehensive treatment of probability, giving equal treatment to discrete and continuous probability.
By Boncelet
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Process Analytics: Concepts and Techniques for Querying and Analyzing Process DataChiefly focusing on concepts, techniques and methods, this book covers a large body of knowledge on process analytics - including process data querying, analysis, matching and correlating process data and models - to help practitioners and researchers understand the underlying concepts, problems, methods, tools and techniques involved in modern process analytics.
By Seyed-Mehdi-Reza Beheshti, et al.
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PySpark SQL Recipes: With HiveQL, Dataframe and GraphframesUsing a problem-solution approach, this authoritative resource will teach you how to carry out data analysis with PySpark SQL, graphframes, and graph data processing.
By Raju Kumar Mishra, Sundar Rajan Raman
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Python 3 for Machine LearningWith various types of code samples throughout, this book is intended to reach an international audience of readers with highly diverse backgrounds in various age groups, and aims to provide you with as much relevant information about Python and machine learning as possible.
By Oswald Campesato
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Python Data Analytics: Data Analysis and Science Using Pandas, Matplotlib, and the Python Programming LanguageBy expertly showing the strength of the Python programming language when applied to processing, managing and retrieving information, this book will help you tackle the world of data acquisition and analysis using the power of the Python language.
By Fabio Nelli
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Python Data Analytics: With Pandas, NumPy, and Matplotlib, Second EditionWhether you are dealing with sales data, investment data, medical data, web page usage, or other data sets, this book explores the latest Python tools and techniques to help you tackle the world of data acquisition and analysis.
By Fabio Nelli
-
Book
Python for Data Science For DummiesWhether you're new to data analysis or just new to Python, this practical, user-friendly guide shows you how to take advantage of Python programming to acquire, organize, process, and analyze large amounts of information and use basic statistics concepts to identify trends and patterns.
By John Paul Mueller, Luca Massaron
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Python for Data Science for Dummies, 2nd EditionWritten for people who are new to data analysis, this book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.
By John Paul Mueller, Luca Massaron
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Python for Data Science For Dummies, 3rd EditionThis beginner's guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond.
By John Paul Mueller, Luca Massaron
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Book
Python for R Users: A Data Science ApproachShort on theory and long on actionable analytics, this definitive guide provides readers with a detailed comparative introduction and overview of both languages and features concise tutorials with command-by-command translations of R to Python and Python to R.
By Ajay Ohri
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Python Text Mining: Perform Text Processing, Word Embedding, Text Classification and Machine Translation'Python Text Mining' includes a number of application cases, demonstrations, and approaches that will help you deepen your understanding of feature extraction from data sets.
By Alexandra George
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Python Tools for Data Scientists: Pocket PrimerThis book is designed to provide a thorough introduction to numerous Python tools for data scientists.
By Oswald Campesato
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PyTorch Recipes: A Problem-Solution ApproachFor readers wanting to dive straight into programming PyTorch, this book adopts a problem-solution approach to PyTorch programming, includes deep learning algorithms with PyTorch and covers natural language processing and text processing.
By Pradeepta Mishra
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R Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and PackagesAfter using this handy quick reference guide, you'll have the code, APIs, and insights to write data science-based applications in the R programming language.
By Thomas Mailund
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R for Data Analysis in Easy StepsFor anyone who wants to produce graphic visualizations to gain insights from gathered data, this book will give you a sound understanding of R programming so you will be able to write your own scripts that can be executed to produce graphic visualizations for data analysis.
By Mike McGrath
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R for Data Analysis in Easy Steps, Second EditionR for Data Analysis in easy steps, 2nd edition has an easy-to-follow style that will appeal to anyone who wants to produce graphic visualizations to gain insights from gathered data.
By Mike McGrath
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R in Action: Data Analysis and Graphics with R, Second EditionFocusing on practical solutions, this book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods.
By Robert Kabacoff
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Real-Time Analytics: Techniques to Analyze and Visualize Streaming DataIncluding in-depth case studies, this essential book teaches data analysts technologies to build an effective real-time analytics platform that can be used to make sense of the constantly changing data that is beginning to outpace traditional batch-based analysis platforms.
By Byron Ellis
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Regular Expressions: Pocket PrimerPacked with realistic examples and numerous commands, this thorough book is intended for data scientists, data analysts, and others who want to understand regular expressions to perform various tasks.
By Oswald Campesato
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Sampling of Populations: Methods and Applications, Fourth EditionA trusted classic on the key methods in population sampling-now in a modernized and expanded new edition
By Paul S. Levy, Stanley Lemeshow
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SAS for R Users: A Book for Data ScientistsThose with knowledge of both R and SAS are of far greater value to employers, particularly in corporate settings. Using a clear, step-by-step approach, this valuable resource presents an analytics workflow that mirrors that of the everyday data scientist.
By Ajay Ohri
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SAS Programming and Data Visualization Techniques: A Power User's GuideThrough code samples and examples, this expert guide explains techniques that will enable you to increase your knowledge of all aspects of SAS programming, improve your coding productivity, and interface SAS with other programs.
By Philip R. Holland
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Scalable Big Data Architecture: A Practitioner's Guide to Choosing Relevant Big Data ArchitectureCovering real-world, concrete industry use cases, this book is for developers, data architects, and data scientists looking for a better understanding of how to choose the most relevant pattern for a big data project and which tools to integrate into that pattern.
By Bahaaldine Azarmi
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Security in the Digital World: For the Home User, Parent, Consumer and Home OfficeFrom the top ten tips and the breakdown of consumer risks, to social networking and parental security, this book is an essential guide for anyone and everyone trying to stay safe and secure in the evolving digital world.
By Graham Day
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Simulation Modeling and Arena, Second EditionContaining a unique blend of theory and applications, this book integrates coverage of statistical analysis and model building to emphasize the importance of both topics in simulation.
By Manuel D. Rossetti
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Smarter Data Science: Succeeding with Enterprise-Grade Data and AI ProjectsEnterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how.
By Cole Stryker, Grady Booch, Neal Fishman
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Solutions Manual to Accompany Introduction to Linear Regression Analysis, Fifth EditionClearly balancing theory with applications, this book describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research.
By Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
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Spatial Analysis along Networks: Statistical and Computational MethodsDedicating a separate chapter to each of the major techniques involved, this comprehensive resource provides a practical guide to the necessary statistical techniques and their computational implementation.
By Atsuyuki Okabe, Kokichi Sugihara
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SPSS Data Analysis for Univariate, Bivariate, and Multivariate StatisticsA truly hands-on learning experience, this concise and very easy-to-use primer introduces readers to a host of computational tools useful for making sense out of data, whether that data come from the social, behavioral, or natural sciences.
By Daniel J. Denis
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SPSS for DummiesCovering all of the key analysis topics step-by-step, this friendly, plain-English guide gets you up and running with the latest version of the software so that you can start performing calculations right away.
By Arthur Griffith
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SPSS For Dummies, 2nd EditionFeaturing step-by-step procedures you can follow to see how SPSS operates, this book will show you how to use SPSS to enter data, produce graphs, use the statistical methods built into SPSS to generate the numbers you need, and much more.
By Arthur Griffith
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SPSS Statistics for Dummies, 3rd EditionShowing you how to handle data like a pro, with step-by-step instruction and expert advice, this fun, friendly guide contains everything you need to know to get up and running quickly with the industry-leading SPSS 23.0 software, and clear, helpful guidance on working with both the software and your data.
By Aaron Poh, Jesus Salcedo, Keith McCormick
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SPSS Statistics Workbook For DummiesSPSS Statistics Workbook For Dummies gives you the practice you need to navigate the leading statistical software suite.
By Jesus Salcedo, Keith McCormick
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Statistical Analysis with Missing Data, 3rd EditionBlending theory and application, this comprehensive resource offers an up-to-date account of practical methodology for handling missing data problems.
By Donald B. Rubin, Roderick J. A. Little
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Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second EditionProviding simple yet insightful quantitative techniques, this book contains essays offering detailed background, discussion, and a truly nitty-gritty, step-by-step method that both tyros and experts in the field can enjoy playing with.
By Bruce Ratner
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Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge DiscoveryPresenting a coherent, technical introduction to modern statistical learning and analytics, starting from the core foundations of statistics and probability, this book includes an overview of probability and statistical distributions, basics of data manipulation and visualization, and the central components of standard statistical inferences.
By Walter W. Piegorsch
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Statistical Hypothesis Testing with SAS and RPresenting an authoritative guide to statistical hypothesis testing with examples in SAS and R, this book provides an overview of the most common statistical test problems in a comprehensive way, making it easy to find and perform an appropriate statistical test.
By Dirk Taeger, Sonja Kuhnt
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Statistical Rethinking: A Bayesian Course with Examples in R and STAN, Second EditionThe second edition emphasizes the directed acyclic graph (DAG) approach to causal inference, integrating DAGs into many examples. The new edition also contains new material on the design of prior distributions, splines, ordered categorical predictors, social relations models, cross-validation, importance sampling, instrumental variables, and Hamiltonian Monte Carlo. It ends with an entirely new chapter that goes beyond generalized linear modeling, showing how domain-specific scientific models can be built into statistical analyses.
By Richard McElreath
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Statistics for Applied Behavior Analysis Practitioners and ResearchersStatistics for Applied Behavior Analysis Practitioners and Researchers provides practical and useful content for individuals who work directly with, or supervise those who work directly with, individuals with ASD.
By David J. Cox, Jason C. Vladescu
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Supervised and Unsupervised Data Engineering for Multimedia Data NEW!Explore the cutting-edge realms of data engineering in multimedia with Supervised and Unsupervised Data Engineering for Multimedia Data, where expert contributors delve into innovative methodologies, offering invaluable insights to empower both novices and seasoned professionals in mastering the art of manipulating multimedia data with precision and efficiency.
By J. P. Patra, Sapna Singh Kshatri, Suman Kumar Swarnkar, Tien Anh Tran, Yogesh Kumar Rathore
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Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced AnalyticsExploring a number of big data concepts and how they can be applied to improve your organization's analytics, this user-friendly handbook shows you step by step how to design, incorporate, and profit from a world-class advanced analytics ecosystem in today's big data environment.
By Bill Franks
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Testing Statistical Assumptions in ResearchAn excellent reference for graduate students and research scholars of any discipline, this book comprehensively teaches the basics of testing statistical assumptions in research and the importance in doing so.
By Abdel-Salam G. Abdel-Salam, J. P. Verma
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Text Analytics for Business Decisions : A Case Study ApproachThis book helps for business analysts who wish to increase their skills in extracting answers for text data in order to support business decision making.
By Andres Fortino
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Text Analytics with Python: A Practitioner's Guide to Natural Language Processing, Second EditionLeverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics.
By Dipanjan Sarkar
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The Analytics Revolution: How to Improve Your Business By Making Analytics Operational in The Big Data EraDelving into the requirements for laying a solid technical and organizational foundation that is capable of supporting operational analytics at scale, this book presents everything you need to implement operational analytic processes with big data.
By Bill Franks
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The Big R-Book: From Data Science to Learning Machines and Big DataThis book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use.
By Philippe J. S. De Brouwer
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The Data and Analytics Playbook: Proven Methods for Governed Data & Analytic QualityDrawing upon the authors' years of practical experience, and using numerous examples in the format of an easy to understand playbook, this resource presents a clear set of methods to provide reliable governance, controls, risk, and exposure management for enterprise data and the programs that rely upon it.
By Dan Meers, Gregory Lampshire, Lowell Fryman
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The Data Science HandbookGiving extensive coverage to computer science and software engineering since they play such a central role in the daily work of a data scientist, this comprehensive book provides a crash course in data science, combining all the necessary skills into a unified discipline.
By Field Cady
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The Decision Maker's Handbook to Data Science: A Guide for Non-Technical Executives, Managers, and Founders, Second EditionProviding you with the expertise and tools required to develop a solid data strategy that is continuously effective, this book will teach you how to think like a veteran data scientist and approach solutions to business problems in an entirely new way.
By Stylianos Kampakis
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The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured DataProviding an in-depth examination of core text mining and link detection algorithms and operations, this text examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches.
By James Sanger, Ronen Feldman
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The Visual Imperative: Creating a Visual Culture of Data DiscoveryProviding practicable and use case-based experience, this book discusses several years of in-depth industry research and presents vendor tools, approaches, and methodologies in discovery, visualization, and visual analytics.
By Lindy Ryan
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The Visual Organization: Data Visualization, Big Data, and the Quest for Better DecisionsRife with real-world examples and case studies, this full-color guide looks at how an increasing number of organizations are embracing new dataviz tools and, more importantly, a new mind-set based upon data discovery and exploration.
By Phil Simon
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Think Like a Data Scientist: Tackle the Data Science Process Step-by-StepThis book presents a step-by-step approach to data science, combining analytic, programming, and business perspectives into easy-to-digest techniques and thought processes for solving real world data-centric problems.
By Brian Godsey
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Thinking Data Science: A Data Science Practitioner's GuideThis definitive guide to Machine Learning projects answers the problems an aspiring or experienced data scientist frequently has: Confused on what technology to use for your ML development? Should I use GOFAI, ANN/DNN or Transfer Learning? Can I rely on AutoML for model development? What if the client provides me Gig and Terabytes of data for developing analytic models? How do I handle high-frequency dynamic datasets? This book provides the practitioner with a consolidation of the entire data science process in a single "Cheat Sheet".
By Poornachandra Sarang
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Thinking in Pandas: How to Use the Python Data Analysis Library the Right WayUnderstand and implement big data analysis solutions in pandas with an emphasis on performance. This book strengthens your intuition for working with pandas, the Python data analysis library, by exploring its underlying implementation and data structures.
By Hannah Stepanek
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Unstructured Data: Growth and ChallengeAuthored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article discusses how data cannot be under-stated as it provides the basis for reporting the information required in business operations.
By Shankar Rathinasamy
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Using the TI-84 Plus, Second EditionIncluding tutorials, exercises and examples that let you learn by doing, this book gives you a hands-on orientation to the TI-84 Plus calculator, and explores key features while you tackle problems just like the ones you'll see in your math and science classes
By Christopher R. Mitchell
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Visual Insights: A Practical Guide to Making Sense of DataTeaching nonprogrammers how to use open code and open data to design insightful visualizations, this book shows readers how to apply advanced data mining and visualization techniques to make sense of temporal, geospatial, topical, and network data.
By David E. Polley, Katy Börner
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Visual Intelligence: Microsoft Tools and Techniques for Visualizing DataAuthored by the visualization experts at Microsoft's Pragmatic Works, this guide covers the Microsoft toolset for data analysis and visualization, and explores how to choose a data visualization design, select tools from the Microsoft stack, and build a complete dynamic data visualization.
By Adam Jorgensen, Joe Salvatore, Mark Stacey
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Visualize This: The FlowingData Guide to Design, Visualization, and StatisticsUsing step-by-step tutorials to show you how to visualize and tell stories with data, this full-color book explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.
By Nathan Yau
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Visualizing Data in R 4: Graphics Using the Base, Graphics, Stats, and ggplot2 PackagesMaster the syntax for working with R's plotting functions in graphics and stats in this easy reference to formatting plots.
By Margot Tollefson
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Visualizing the Data City: Social Media as a Source of Knowledge for Urban Planning and ManagementPresenting a set of experiments conducted in collaboration with urban stakeholders at various levels (including citizens, city administrators, urban planners, local industries and NGOs) in Milan and New York, this book offers a fascinating exploration of techniques for mining the social web that can be applied to procure user-generated content as a means of investigating urban dynamics.
By Giorgia Lupi, Luca Simeone, Paolo Ciuccarelli
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Web Data Mining with Python: Discover and Extract Information from the Web Using PythonExplore different web mining techniques to discover patterns, structures, and information from the web
By Dr. Meenakshi Srivastava, Dr. Ranjana Rajnish
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Web Recommendations SystemsThis book focuses on Web recommender systems, offering an overview of approaches to develop these state-of-the-art systems.
By K. C. Srikantaiah, K. R. Venugopal, Sejal Santosh Nimbhorkar
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Win with Advanced Business Analytics: Creating Business Value from Your DataUniquely focusing on integrating multiple types of big data intelligence into your business, this plain-English book is filled with case studies across a variety of industries and provides the essential concepts and framework to implement business analytics.
By Jean Paul Isson, Jesse Harriott
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Working with Text: Tools, Techniques and Approaches for Text MiningProviding cross-disciplinary perspectives on text mining and its applications, this book offers focused studies describing text mining on historical texts, automated indexing using constrained vocabularies, and the use of natural language processing to explore the climate science literature.
By Emma L. Tonkin, Gregory J.L. Tourte (eds)
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XML and Web Technologies for Data Sciences with RCovering important modern Web technologies from the R perspective, this hands-on book describes over 30 R packages developed by the authors, and provides comprehensive examples showing how to interface with many applications, Web services and data formats.
By Deborah Nolan, Duncan Temple Lang
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Beginning Oracle Database 12c Administration: From Novice to Professional, Second EditionYour entry point into a successful and satisfying career as an Oracle Database Administrator, this thorough guide will provide you not only technical information, but also guidance on work practices that are as vital to your success as are your technical skills.
By Ignatius Fernandez
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Beginning PHP 5 and PostgreSQL 8: From Novice to ProfessionalAn ideal read for a web designer, programmer, hobbyist, or novice who wants to create applications with PHP 5 and PostgreSQL 8, this book delves into open source web development technologies, the PostgreSQL 8 database server and PHP 5 scripting language.
By Robert H. Treat, W. Jason Gilmore
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Database Security: Problems and SolutionsDatabase Security: Problems and Solutions describes and demonstrates how to resolve database security issues at the design, implementation, and production phases.
By Christopher Diaz
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Expert MySQL, Second EditionThe leading reference for learning, understanding, and extending the MySQL server, this practical, detailed guide unlocks the full promise of open source by showing how to modify the code, create your own storage engine, build your own authentication plugins, and much more.
By Charles Bell
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High Performance SQL Server: The Go Faster BookCovering SQL Server instance-configuration for optimal performance, this book helps in implementing SQL Server in-memory technologies and provides guidance toward monitoring and ongoing diagnostics.
By Benjamin Nevarez
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IT Governance: An International Guide to Data Security and ISO27001/ISO27002, 6th EditionUpdated to reflect the latest regulatory and technological developments, including the 2013 updates to ISO27001/ISO27002, and key international markets, including the UK, North America, the EU, and Asia Pacific, this book provides best-practice guidance for companies looking to protect and enhance their information security management systems.
By Alan Calder, Steve Watkins
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MongoDB BasicsTeaching you MongoDB design basics, including geospatial indexing, how to navigate, view, and query your database, and how to use GridFS with a bit of Python, this book shows you how a document-oriented database system differs from a relational database, and how to install and get started using it.
By David Hows, Eelco Plugge, Peter Membrey
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Multilevel Security for Relational DatabasesCovering multilevel database security concepts along with many other multilevel database security models and techniques, this book presents a prototype that readers can implement as a tool for conducting performance evaluations to compare multilevel secure database models.
By Ahmed I. Sallam, El-Sayad M. El-Rabaie, Fathi E. Abd El-Samie, Hala S. El-Sayed, Osama S. Faragallah
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Net Zeros and Ones: How Data Erasure Promotes Sustainability, Privacy, and SecurityIn Net Zeros and Ones: How Data Erasure Promotes Sustainability, Privacy, and Security, a well-rounded team of accomplished industry veterans delivers a comprehensive guide to managing permanent and sustainable data erasure while complying with regulatory, legal, and industry requirements.
By Fredrik Forslund, Richard Stiennon, Russ B. Ernst
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OCA: Oracle Database 12c Administrator Certified Associate Study Guide (Exams 1Z0-061 and 1Z0-062)Authored by an industry expert with hands-on Oracle database experience, this comprehensive guide not only helps you prepare for the challenging 1Z0-061 and 1Z0-062 exams, but also prepares you for the day-to-day work world of a database administrator.
By Biju Thomas
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OCP: Oracle Database 12c Administrator Certified Professional Study Guide: Exam 1Z0-063By helping you sharpen your skills to prepare for the three levels of certification: Oracle Certified Associate, Oracle Certified Professional, and Oracle Certified Master, this study guide reviews how Oracle 12c allows multiple instances to be used simultaneously via the cloud.
By Charles A. Pack, Robert G. Freeman
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Oracle Incident Response and Forensics: Preparing for and Responding to Data BreachesDiscussing forensics in relation to Oracle Database, this book provides the tools and techniques needed to investigate a breach, and the measures to put in place to make it harder for an attack to be successful in the future.
By Pete Finnigan
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PostgreSQL InstantCode: Creating Web Applications with PostgreSQLDevelop database-driven applications based on PostgreSQL, with different technologies, such as Perl, Visual Basic .NET, ASP, and C, to implement server-side business logic.
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Practical MongoDB: Architecting, Developing, and Administering MongoDBProviding useful information covering all aspects of the MongoDB platform and how to put it to use practically, this expert resource offers clear guidelines and practical examples for architecting, developing, and deploying applications using the MongoDB platform.
By Navin Sabharwal, Shakuntala Gupta Edward
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Pro MongoDB DevelopmentOffering a critical reference for anyone using MongoDB, this thorough resource includes details about the software you need and hands-on examples of working with MongoDB and these technologies so you know exactly what to do, whatever your MongoDB implementation requires.
By Deepak Vohra
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Pro Oracle Database 12c Administration, Second EditionTaking a results-oriented approach to getting things done, this book gives clear explanations on how to perform critical tasks and weaves in theory where necessary without bogging you down in unneeded detail to lay a foundation upon which to build a senior level of expertise.
By Darl Kuhn
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Pro SQL Server AdministrationBringing SQL Server administration into the modern era with strong coverage of hybrid cloud environments, In-Memory OLTP, and installation on Server Core, this comprehensive guide for today's DBA helps you to administer the new and key areas of SQL Server, including Columnstore indexes and the In-Memory OLTP feature set introduced in 2014.
By Peter A Carter
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Pro SQL Server Internals, Second EditionProviding a solid road map for understanding the depth and power of the SQL Server database server, this detailed resource teaches you how to get the most from the platform and how to keep your databases running at the level needed to support your business.
By Dmitri Korotkevitch
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Professional Microsoft SQL Server 2014 Integration ServicesYour ultimate guide to navigating the changes to Microsoft SQL Server Integration Services (SSIS) 2014 and using them to your utmost advantage, this unique resource offers an understanding of SSIS on a fundamental level, and sets you up for success.
By Brian Knight, Chris Rock, Devin Knight, Jessica M. Moss, Mike Davis
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Professional SQL Server 2014 AdministrationMicrosoft's SQL Server 2014 update means big changes for database administrators, and you need to get up to speed quickly because your methods, workflow, and favorite techniques will be different from here on out. This book is your comprehensive guide to working with the new environment.
By Adam Jorgensen, Bradley Ball, Brian Knight, Ross LoForte, Steven Wort
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Securing SQL Server: DBAs Defending the Database, Second EditionProviding practical advice and engaging examples, this book will help you protect your data from attack by using SQL Server technologies to implement a defense-in-depth strategy, perform threat analysis, and encrypt sensitive data as a last line of defense against compromise.
By Peter A. Carter
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Teradata SQLWith a step-by-step building block approach, this book starts at the most basic level, then moves to the most advanced level with over 1,000 examples that work and explain exactly what is going on.
By Mike Larkins, Tom Coffing
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The Database Application Book: Using the MySQL Database SystemIdeal for a course on database applications or as a second book in a course on databases, this authoritative guide is a perfect companion for the software professional in the business of writing database applications.
By Narain Gehani
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The Database Book: Principles & Practice Using MySQL, Second EditionWithout burdening readers with theorems and internal algorithms, this book provides comprehensive coverage of database principles and practice, using the open source database MySQL for examples.
By Narain Gehani
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The Definitive Guide to MongoDB: A Complete Guide to Dealing with Big Data using MongoDB, Third EditionTeaching you everything you need to know to become a MongoDB pro, this authoritative guide was written for database admins and developers who need to get up to speed on MongoDB and its Big Data, NoSQL approach to dealing with data management.
By David Hows, Eelco Plugge, Peter Membrey, Tim Hawkins
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V14 Certification: Teradata BasicsWith an aim to boost your level of confidence and knowledge, this book provides an incredible reference guide, learning tool, and foundation for passing all the tests and becoming a Teradata Certified Master.
By John Nolan, Tom Coffing
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V14 Certification: Teradata SQLDesigned to boost both your confidence and knowledge, this book will not only help you pass the V14 certification exam, but is also an incredible reference guide, learning tool, and foundation for passing all tests required for becoming a Teradata Certified Master.
By Leona Coffing, Tom Coffing
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#MakeoverMonday: Improving How We Visualize and Analyze Data, One Chart at a TimeExploring different perspectives and approaches to creating more effective visualizations, this book offers inspiration and a giant dose of perspective for those who communicate data.
By Andy Kriebel, Eva Murray
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A Power BI Compendium: Answers to 65 Commonly Asked Questions on Power BIThis book serves as a comprehensive resource for users to implement more challenging visuals, build better data models, use DAX with more confidence, and execute more complex queries so they can find and share important insights into their data.
By Alison Box
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Advanced Analytics in Power BI with R and Python: Ingesting, Transforming, VisualizingFor Power users, data analysts, and data scientists, this easy-to-follow guide provides R and Python recipes to help you learn and apply the top languages in the field of data analytics to your work in Microsoft Power BI.
By Ryan Wade
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An Introduction to Categorical Data Analysis, Third EditionThe use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. This valuable reference summarizes these methods and shows readers how to use them using software.
By Alan Agresti
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Atlas of Knowledge: Anyone Can MapDescribing the power of topical maps, this book provides readers with principles for visualizing knowledge and offering as examples forty large-scale and more than 100 small-scale full-color maps.
By Katy Börner
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Beginning Big Data with Power BI and Excel 2013Through instruction, insight, advice, and case studies, this book shows how the self-service analytics available in Excel with Power BI - which you already know how to use - can perform many of the same functions as the higher-end Apache tools many people believe are required to carry out in Big Data projects.
By Neil Dunlop
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Beginning DAX with Power BI: The SQL Pro's Guide to Better Business IntelligenceIncluding tips, tricks, and shortcuts, along with examples of the SQL equivalent, this book provides hands-on learning and expert advice on how to use the vast capabilities of the DAX language to solve common data modeling challenges.
By Philip Seamark
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Beginning Microsoft Dataverse: Exploiting Microsoft's Low-code Database for the Power PlatformThis book shows you how to use Dataverse to solve business problems by describing the layers of a solution in the Power Platform and the options that exist at each layer so you can make informed decisions as you develop your solutions.
By Brian Hodel
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Beginning Power BI for Business Users: Learning to Turn Data into InsightsDiscover the utility of your organization's data with Microsoft Power BI
By Paul D. Fuller
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Beginning Power BI with Excel 2013: Self-Service Business Intelligence Using Power Pivot, Power View, Power Query, and Power MapTaking you through each tool in turn, using hands-on activities to consolidate what you've learned in each chapter, this step-by-step resource is your practical guide to getting maximum insight from your data, and presenting it with impact.
By Dan Clark
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Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop, Second EditionUsing step-by-step activities and plenty of screen shots, this book will teach you how to build scalable and robust data models to work from, clean and combine different data sources effectively, and create compelling visualizations and share them with your colleagues.
By Dan Clark
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Cool Infographics: Effective Communication with Data Visualization and DesignPresenting the design process and the best software tools for creating infographics that communicate, this essential book will show you how to create infographics to successfully reach your target audience and tell clear stories with your data.
By Randy Krum
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Create Web Charts with D3Providing a number of tools that can be the starting point for any project requiring graphical representations of data, this book shows how to convert your data into eye-catching, innovative, animated, and highly interactive browser-based charts.
By Fabio Nelli
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Creating Good Data: A Guide to Dataset Structure and Data RepresentationCreate good data from the start, rather than fixing it after it is collected. By following the guidelines in this book, you will be able to conduct more effective analyses and produce timely presentations of research data.
By Harry J. Foxwell
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D3.js in Action, Third EditionD3.js in Action, Third Edition is a roadmap for creating brilliant and beautiful visualizations with D3.js. Like a gentle mentor, it guides you from basic charts all the way to advanced interactive visualizations like networks and maps. You'll learn to build graphics, create animations, and set up mobile-friendly responsiveness.
By Anne-Marie Dufour, Elijah Meeks
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Data Analysis for Scientists and EngineersA modern, graduate-level text on data analysis techniques, this detailed resource emphasizes the principles behind various techniques so that practitioners can adapt them to their own problems, or develop new techniques when necessary.
By Edward L. Robinson
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Data Analysis with Microsoft Power BIIncluding hands-on exercises based on real-life business scenarios, this book teaches you the skills you need to interact with, author, and maintain robust visualizations and custom data models.
By Brian Larson
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Data Insights: New Ways to Visualize and Make Sense of DataPresenting a diverse blend of original illustrations and real-world examples - both classical and cutting-edge, this thought-provoking book offers multi-disciplinary perspectives and useful information about how visualizations can open your eyes to data.
By Hunter Whitney
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Data Migration Dashboard: Reporting and Cost AnalysisAuthored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article will explain what Migration Project Dashboard Reporting is, what steps are involved in setting it up and the benefits that will result when using the tool in a data migration for the project management team as well as the technical resources and the project sponsors.
By Diwakar Kumar, Jerry Ryan
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Data Points: Visualization That Means SomethingFocusing on the graphics side of data analysis, this guide uses examples from art, design, business, statistics, cartography, and online media to explore both standard-and not so standard-concepts and ideas about illustrating data.
By Nathan Yau
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Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting DataSupported and explained with examples that you can replicate using open-source software, this insightful book focuses on concepts, principles and practical applications that are applicable to any industry and technology environment.
By EMC Education Services
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Data Storytelling and Translation: Bridging the Gap Between Numbers and NarrativesIn the digital age, data is the new currency. However, amassing heaps of data means nothing if it doesn't lead to actionable insights. It's not enough to just present numbers; to truly resonate with an audience, data needs a narrative.
By David Mathias
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Data Visualisation with R: 100 ExamplesOffering a comprehensive introduction to creating presentation graphics with R, this book presents the complete code of 100 examples from various fields and includes step-by-step explanations of the programming of figures, based on real data.
By Thomas Rahlf
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Data Visualization for Business Decisions: A Laboratory Manual, Third EditionA qualitative lab to develop the power of visualization and discrimination, this workbook is written for business analysts who wish to increase their skills in improving data visuals and creating compelling presentations used to support business decisions.
By Andres Fortino
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Data Visualization for DummiesPart technical manual and part analytical guidebook, this straightforward, full-color resource is the perfect tool for transforming dull tables and charts into high-impact visuals your audience will notice and remember.
By Mico Yuk, Stephanie Diamond
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Data Visualization with JavaScriptShowing you how to use JavaScript, HTML, and CSS to build the most practical visualizations for your data, this book provides step-by-step examples that walk you through creating, integrating, and debugging different types of visualizations.
By Stephen A. Thomas
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Data Visualization, Volume II: Uncovering the Hidden Pattern in Data Using Basic and New Quality ToolsProviding a collection of visuals and graphical tools, this book focuses on data visualization and information visualization tools-two major categories of data visualization.
By Amar Sahay
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Data Visualization: Trends and Challenges Toward Multidisciplinary PerceptionThis book discusses the recent trends and developments in the fields of information processing and information visualization.
By Dr Hardik Gohel, Dr Margret Anouncia S, Dr S Vairamuthu
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Data-Driven Security: Analysis, Visualization and DashboardsUsing a hands-on approach with real-world examples, this practical book shows you how to gather feedback, measure the effectiveness of your security methods, and make better decisions.
By Bob Rudis, Jay Jacobs
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Deep Dive into Power Automate: Learn by ExampleUnderstand the basics of flow and learn how to implement guidelines in real-life scenarios, including Robotic Process Automation (RPA) capabilities. This book covers the evolution of flow and how it is transformed to a full-fledged RPA (such as Power Automate).
By Goloknath Mishra
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Effective Strategy Execution: Business Intelligence Using Microsoft Power BI, 3rd Edition 2024This book demonstrates how the use of business intelligence can enhance performance by fostering a shared understanding of the strategy through a Value Scorecard.
By Bernd Heesen
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End-to-End Observability with Grafana: A Comprehensive Guide to Observability and Performance Visualization with GrafanaGrafana, a popular open-source observability platform, provides robust tools for analyzing and visualizing data from diverse sources. If you are looking to unlock its full potential as a data visualization and monitoring platform, then this book is for you.
By Ajay Reddy Yeruva, Vivek Basavegowda Ramu
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Everyday Data Visualization: Design Effective Charts and DashboardsEveryday Data Visualization guides you through basic graphic design for the most common types of data visualization. You'll learn how to enhance charts with color, encourage users to interact and explore data and create visualizations accessible to everyone. Along the way, you'll practice each new skill as you take a dashboard project from research to publication.
By Desireé Abbott
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Excel BI and Dashboards in 7 Days: Build Interactive Dashboards for Powerful Data Visualization and InsightsEveryone thinks of Excel differently, and its full potential is often untapped. Businesses tend to decide to invest heavily in proper BI tools, perhaps wrongfully assuming that Excel has a minimal role in that industry.
By Jared Poli
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Excel Data Analysis: Your Visual Blueprint for Analyzing Data, Charts, and PivotTables, 4th EditionAimed at Excel power users who appreciate logical, clean explanations of techniques, this visual guide features screenshots and easy-to-follow numbered steps which show you how to perform professional-level modeling, charting, data sharing, data access, data slicing, and other functions.
By Paul McFedries
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Foundations of Data VisualizationThis book focuses entirely on the fundamental questions in visualization.
By Gerik Scheuermann, Helwig Hauser, Min Chen
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Gnuplot in Action, Second EditionIntended to be a comprehensive introduction to gnuplot: from the basics to the power features and beyond, this authoritative guide concentrates on practical applications of gnuplot relevant to users of all levels.
By Philipp K. Janert
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Google Data Studio for Beginners: Start Making Your Data ActionableGoogle Data Studio is becoming a go-to tool in the analytics community. All business roles across the industry benefit from foundational knowledge of this now-essential technology, and this practical resource is here to provide it.
By Gerry White, Grant Kemp
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Graph Analysis and Visualization: Discovering Business Opportunity in Linked DataBringing graph theory out of the lab and into the real world, this thorough book uses sophisticated methods and tools that span analysis functions and show you how to exploit graph and network analytic techniques to enable the discovery of new business insights and opportunities.
By David Jonker, Richard Brath
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High Impact Data Visualization in Excel with Power View, 3D Maps, Get & Transform and Power BI, Second EditionCovering new features and added support for visualization in Excel 2016, this essential book helps in harnessing the power of Microsoft's flagship, self-service business intelligence suite to deliver compelling and interactive insight with remarkable ease.
By Adam Aspin
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High Impact Data Visualization with Power View, Power Map, and Power BIHelping you master this suite of powerful tools from Microsoft, this insightful guide helps you take business intelligence delivery to a new level that is interactive, engaging, even fun, all while driving commercial success through sound decision-making.
By Adam Aspin
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Infographics For DummiesA comprehensive guide to creating data visualization with viral appeal, this straightforward book describes the elements of a successful infographic, and stresses the must-have ingredients that get your data noticed.
By Justin Beegel
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Information Visualization: Perception for Design, Third EditionPacked with over 400 informative full color illustrations, this comprehensive guide outlines the key principles for a wide range of applications and designs, providing designers with the tools to create visualizations of improved clarity, utility and persuasiveness.
By Colin Ware
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Introducing Charticulator for Power BIThis book is your start-to-finish guide to using Charticulator, a custom visual software that Microsoft integrated into Power BI Desktop so that Power BI users can create incredibly powerful, customized charts and graphs.
By Alison Box
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JavaScript and jQuery for Data Analysis and VisualizationDemonstrating each technique with real-world cases, this step-by-step guide shows data analysts, developers, and web designers how they can put the power and flexibility of modern JavaScript libraries to work to analyze data and then present it using best-of-breed visualizations.
By Graham Murray, Jon J. Raasch, Joseph Lowery, Vadim Ogievetsky
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Jumpstart Tableau: A Step-By-Step Guide to Better Data VisualizationCovering the basic reporting and analysis functions that most BI users perform in their day-to-day work, this practical book simplifies the use of Tableau software functionality for novice users so that they can create powerful data visualizations easily and quickly.
By Arshad Khan
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Learn to Write DAX: A Practical Guide to Learning Power Pivot for Excel and Power BIData analysis expressions (DAX) is the formula language of PowerPivot. This book provides sample exercises and practice questions, and was written to give hands-on guidance to anyone who wants to become competent at writing such formulas.
By Matt Allington
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Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and ApplicationsDetailing how to define a problem, perform an analysis, and deploy the results, this indispensible book equips readers with advanced data mining methods that are needed to successfully translate raw data into smart decisions across various fields of research.
By Glenn J. Myatt, Wayne P. Johnson
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Making Sense of Data III: A Practical Guide to Designing Interactive Data VisualizationsIncluding step-by-step examples and numerous exercises, this indispensable book describes the best approach for designing and implementing interactive graphics and visualizations that play a central role in data exploration and decision-support systems.
By Glenn J. Myatt, Wayne P. Johnson
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Mastering Data Visualization with Tableau: Empowering Business Decisions with Tableau"Mastering Data Visualization with Tableau" is an invaluable book that will help you become more knowledgeable and elevate your understanding and skills in data visualization using Tableau which is one of the leading tools in the industry.
By Dr. Arpana Chaturvedi, Prof. Praveen Malik
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Mastering Power BIBusiness Intelligence professionals and existing Power BI users looking to master Power BI for all their data visualization and dashboarding needs will find this book to be useful. While understanding of the basic BI concepts is required, some exposure to Microsoft Power BI will be helpful.
By Brett Powell
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Mastering Power BI: Build Business Intelligence Applications Powered with DAX Calculations, Insightful Visualizations, Advanced BI Techniques, and Loads of Data Sources, 2nd EditionMastering Power BI covers the entire Power BI implementation process. The readers will be able to understand all the concepts covered in this book, from data modeling to creating powerful visualizations.
By Chandraish Sinha
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Mastering SEQUENCE: Excel's Most Amazing Function with More Than 200 ExamplesThis book provides the most comprehensive coverage of the SEQUENCE function, which is widely considered the most versatile function in Excel 365.
By Meni Porat
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Microsoft Power BI Data Analyst Certification Companion: Preparation for Exam PL-300Power BI users who are planning to take the PL-300 exam, Power BI users who want help studying the topic areas listed in Microsoft's outline for the PL-300 exam, and those who are not planning to take the exam but want to close any knowledge gaps they might have.
By Jessica Jolly
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Microsoft Power Platform A Deep Dive: Dig into Power Apps, Power Automate, Power BI, and Power Virtual AgentsWith "Microsoft's Power Platform A Deep Dive," you can learn more about how Microsoft's Power Platform creates and fosters opportunities for users to enhance their technical skills and boost their productivity.
By Bijay Kumar Sahoo, Haripriya Dhall, Preeti Sahu, Sonam Subhadarsini
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Microsoft Power Platform Up and Running: Learn to Analyze Data, Create Solutions, Automate Processes, and Develop Virtual Agents with Low Code ProgrammingThis book is geared toward business managers, business analysts, IT professionals, and anyone interested in bringing modernization to their company's daily operations. You don't need to have any prior experience with the power platform.
By Robert Rybaric
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MIT Sloan Management Review Article on Data VisualizationThis collection of articles from MIT Sloan Management Review reveals that the tools that help visualize complex data have become incredibly sophisticated. But you want the right tool for the right job.
By MIT Sloan Management Review
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Modern PyQt: Create GUI Applications for Project Management, Computer Vision, and Data AnalysisWhether you are looking for new ideas to practice your skills as a programmer or you have a specific goal in mind and need some help to get your ideas off the ground, there is something in this practical book for you!
By Joshua Willman
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Power BI Data Modeling: Build Interactive Visualizations, Learn DAX, Power Query, and Develop BI ModelsCreating data models has never been straightforward. This book demonstrates how to formulate a complete business analytics model that combines several data sources, executes numerous computations, and scales across hundreds of BI users.
By Nisal Mihiranga
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Power Pivot and Power BI: The Excel User's Guide to DAX Power Query, Power BI & Power Pivot in Excel 2010-2016, 2nd EditionIntroducing the concepts in a simple, step-by-step manner tailored to the learning style of Excel users everywhere, this easy-to-follow guide presents techniques that allow users to produce, in hours or even minutes, results that formerly would have taken entire teams weeks or months to produce.
By Avi Singh, Rob Collie
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Power Query for Power BI and ExcelGoing well beyond the surface of what Power Query can do, this concise, practical book provides a complete guide to Power Query and how to use it to solve all of your Excel data-loading problems.
By Chris Webb
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Practical Graph Analytics with Apache GiraphShowing you how to reap the business and scientific value that's hidden away in your data, this book helps you build data mining and machine learning applications using the Apache Foundation's Giraph framework for graph processing.
By Claudio Martella, Dionysios Logothetis, Roman Shaposhnik
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Practical Python Data Visualization: A Fast Track Approach to Learning Data Visualization with PythonQuickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This book's programming-friendly approach using libraries such as leather, NumPy, Matplotlib, and Pandas will serve as a template for business and scientific visualizations.
By Ashwin Pajankar
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Practical SQL: A Beginner's Guide to Storytelling with DataWith exercises and real-world examples in each chapter, this approachable and fast-paced guide will teach even those who have never programmed before all the tools necessary to build powerful databases and access information quickly and efficiently.
By Anthony DeBarros
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Prepare Your Data for Tableau: A Practical Guide to the Tableau Data Prep ToolFocus on the most important and most often overlooked factor in a successful Tableau project-data.
By Lori Blackshear, Tim Costello
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Principles of Design DiagrammingAuthored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article focuses on the methods to accelerate and improve the process of diagram development.
By Vasily Pantyukhin
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Pro Data Mashup for Power BI: Powering Up with Power Query and the M Language to Find, Load, and Transform DataThe book provides detailed guidance on techniques for transforming inbound data into normalized data sets that are easy to query and analyze.
By Adam Aspin
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Pro Data Visualization using R and JavaScriptCombining the power of the R language with the simplicity and familiarity of JavaScript, this book shows you how to use R to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way.
By Tom Barker
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Pro DAX and Data Modeling in Power BI: Creating the Perfect Semantic Layer to Drive Your Dashboard AnalyticsDevelop powerful data models that bind data from disparate sources into a coherent whole. Then extend your data models using DAX-the query language that underpins Power BI-to create reusable measures to deliver finely-crafted custom calculations in your dashboards.
By Adam Aspin
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Pro DAX with Power BI: Business Intelligence with PowerPivot and SQL Server Analysis Services TabularLearn the intricate workings of DAX and the mechanics that are necessary to solve advanced Power BI challenges.
By Philip Seamark, Thomas Martens
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Pro Microsoft Power BI Administration: Creating a Consistent, Compliant, and Secure Corporate Platform for Business IntelligenceManage Power BI within organizations. This book helps you systematize administration as Microsoft shifts Power BI from a self-service tool to an enterprise tool.
By Michael Johnson, Ásgeir Gunnarsson
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Pro Power BI Architecture: Development, Deployment, Sharing, and Security for Microsoft Power BI Solutions, 2nd EditionThis book provides detailed guidance around architecting and deploying Power BI reporting solutions, including help and best practices for sharing and security.
By Reza Rad
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Pro Power BI Architecture: Sharing, Security, and Deployment Options for Microsoft Power BI SolutionsProviding detailed examples and explaining the different methods available, this book will help you understand the many options and choose the best combination for hosting, developing, sharing, and deploying a Power BI solution within your organization.
By Reza Rad
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Pro Power BI Dashboard Creation: Building Elegant and Interactive Dashboards with Visually Arresting AnalyticsThe book covers tablet and smartphone layouts for delivering business value in today's highly mobile world. You'll learn about formatting for effect to make your data tell its story, and you'll be a master at creating visually arresting output on multiple devices that grabs attention, builds influence, and drives change.
By Adam Aspin
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Pro Power BI Desktop, Second EditionHelping you to deliver eye-catching Business Intelligence with Microsoft Power BI Desktop, this book shows you how to choose from a wide range of built-in and third-party visualization types so that your message is always enhanced.
By Adam Aspin
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Pro Power BI Desktop: Self-Service Analytics and Data Visualization for the Power User, Third EditionDeliver eye-catching and insightful business intelligence with Microsoft Power BI Desktop. This new edition has been updated to cover all the latest features of Microsoft's continually evolving visualization product.
By Adam Aspin
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Pro Power BI Theme Creation: JSON Stylesheets for Automated Dashboard Formatting, 2nd EditionUse JSON theme files to standardize the look of Power BI dashboards and reports. This book shows how you can create theme files using the Power BI Desktop application to define high-level formatting attributes for dashboards as well as how to tailor detailed formatting specifications for individual dashboard elements in JSON files.
By Adam Aspin
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Pro Tableau: A Step-by-Step GuideAlong with demonstrations and illustrations, this book will help you make sense of data quickly and effectively, make you look at data differently and more imaginatively, and help those familiar with Tableau software chart their journey to a visualization expert.
By Seema Acharya, Subhashini Chellappan
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PROC TABULATE by Example, Second EditionWith an abundance of real-world examples, this concise book offers beginning and intermediate SAS users a convenient and inviting step-by-step guide to producing tables and reports using the TABULATE procedure.
By Julie McKnight, Lauren Haworth Lake
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Python 3 and Data VisualizationPython 3 and Data Visualization offers readers a deep dive into the world of Python 3 programming and the art of data visualization.
By Oswald Campesato
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Rapid Graphs with Tableau 8: The Original Guide for the Accidental Analyst, Fourth EditionIncluding best practices and easy-to-follow examples, this expert guide provides a hands-on case study approach and more than 225 illustrations that will teach you how to quickly explore and understand your data to make informed decisions in a wide variety of real-world situations.
By Eileen McDaniel, Stephen McDaniel
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Real-Time Analytics: Techniques to Analyze and Visualize Streaming DataIncluding in-depth case studies, this essential book teaches data analysts technologies to build an effective real-time analytics platform that can be used to make sense of the constantly changing data that is beginning to outpace traditional batch-based analysis platforms.
By Byron Ellis
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SAS Programming and Data Visualization Techniques: A Power User's GuideThrough code samples and examples, this expert guide explains techniques that will enable you to increase your knowledge of all aspects of SAS programming, improve your coding productivity, and interface SAS with other programs.
By Philip R. Holland
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Self-Service AI with Power BI Desktop: Machine Learning Insights for BusinessPower BI Desktop is a freely available tool for visualization and analysis. This book helps you to get the most from that tool by exploiting some of its latest and most advanced features.
By Markus Ehrenmueller-Jensen
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Self-Service Analytics with Power BI: Learn How to Build an End-To-End Analytics Solution in Power BIData-driven culture is becoming increasingly important in modern enterprises, and self-service BI tools are making it easier for professionals to gain insights from data.
By Annu Roy, Gaurav Aroraa, Rishiraj Deb
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SPSS Statistics for Data Analysis and VisualizationShowing you advanced techniques that exploit the full capabilities of SPSS, this authoritative text explains when and why to use each technique, and then walks you through the execution with pragmatic, nuts and bolts examples.
By Andrew Wheeler, Jesus Salcedo, Jon Peck, Keith McCormick
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Storytelling With Data: A Data Visualization Guide For Business ProfessionalsTeaching you the fundamentals of data visualization and how to communicate effectively with data, this book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story.
By Cole Nussbaumer Knaflic
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Supercharge Power Bi: Power Bi is Better When You Learn to Write DaxIncluding numerous worked-through examples and practice exercises, this book clearly explains the necessary concepts while at the same time giving hands-on practice to engage the reader and help new knowledge stick.
By Matt Allington
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Tableau 8: The Official GuideShowing how to design and publish meaningful business communications to end-users across your enterprise, this step-by-step guide provides the hands-on instruction and best practices you need to meet your business intelligence objectives and drive better decision making.
By George Peck
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Tableau 9: The Official GuideOffering step-by-step instruction, best practices, examples, and more, this authoritative guide will show you how to get up and running on Tableau, load data, drag and drop components, add graphics and maps, create complex calculations, and distribute dynamic dashboards and stories.
By George Peck
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Tableau for Business Users: Learn to Automate and Simplify Dashboards for Better Decision Making, 1st EditionYou will learn how to create calculated fields, and about the currently available calculation functionalities in Tableau, including Basic Expressions, Level of Detail (LOD) Expressions, and Table Calculations.
By Shankar Arul
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Tableau for DummiesPresenting a step-by-step resource that helps you make sense of the data landscape, this easy-to-use reference explores the user interface, and guides you through the process of connecting your data sources to the software.
By Molly Monsey, Paul Sochan
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Tableau For Dummies, 2nd EditionTableau gives you the power to understand your data and put it in a format that is appealing and meaningful for everyone who needs to see it. Tableau For Dummies walks you through the steps to turn your data into a story that inspires action.
By Jack A. Hyman
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Tableau for Salesforce: Visualise Data and Generate Insights with the Leading Platforms for Data AnalyticsTableau is a powerful data visualization tool, and Salesforce CRM is the most successful customer relationship management software. Companies often use these two tools to analyze data and create visualizations.
By Damiana Spadafora, Lars Malmqvist
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Tableau Your Data! Fast and Easy Visual Analysis with Tableau Software, Second EditionShowing you how to build dynamic, best of breed visualizations using the Tableau Software toolset, this comprehensive guide covers the core feature set for data analytics, and provides clear, step-by-step guidance toward best practices and advanced techniques that go way beyond the user manual.
By Daniel G. Murray
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Teach Yourself VISUALLY Power BI"Teach Yourself VISUALLY Power BI" is a comprehensive and visually-focused guide that helps users master Microsoft Power BI through step-by-step instructions and clear screenshots.
By Alexander Loth
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The Absolute Guide to Dashboarding and Reporting with Power BI: How to Design and Create a Financial Dashboard with Power BI - End to EndThis book discuses about dashboard and reporting.
By Kasper de Jonge
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The Big Book of Dashboards: Visualizing Your Data Using Real-World Business ScenariosA comprehensive reference for those tasked with building or overseeing the development of business dashboards, this definitive guide gives you the tools, guidance, and models you need to produce great dashboards that inform, enlighten, and engage.
By Andy Cotgreave, Jeffrey Shaffer, Steve Wexler
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The Ultimate Guide to Functions in Power Query: Turn Raw Data into Actionable InsightsThis book is a complete guide to using functions in Power Query and is designed to help users of all skill levels learn and master its various functions.
By Omid Motamedisedeh
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The Visual Organization: Data Visualization, Big Data, and the Quest for Better DecisionsRife with real-world examples and case studies, this full-color guide looks at how an increasing number of organizations are embracing new dataviz tools and, more importantly, a new mind-set based upon data discovery and exploration.
By Phil Simon
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TIBCO Spotfire: A Comprehensive PrimerTaking you through increasingly advanced topics toward the goal of becoming a professional analytics solution provider, this book explains data and visualization concepts and follows through with practical examples, such as getting data into Spotfire and using its visualization features.
By Michael Phillips
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Up and Running with DAX for Power BI: A Concise Guide for Non-Technical UsersThis book focuses on explaining the core concepts of DAX so that ordinary folks can gain the skills required to tackle complex data analysis problems. But make no mistake, this is in no way an introductory book on DAX.
By Alison Box
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Visual Data Insights Using SAS ODS Graphics: A Guide to Communication-Effective Data VisualizationSAS ODS graphics users will learn in this book how to visually understand and communicate the significance of data to deliver images for quick and easy insight, with precise numbers.
By LeRoy Bessler
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Visual Insights: A Practical Guide to Making Sense of DataTeaching nonprogrammers how to use open code and open data to design insightful visualizations, this book shows readers how to apply advanced data mining and visualization techniques to make sense of temporal, geospatial, topical, and network data.
By David E. Polley, Katy Börner
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Visual Intelligence: Microsoft Tools and Techniques for Visualizing DataAuthored by the visualization experts at Microsoft's Pragmatic Works, this guide covers the Microsoft toolset for data analysis and visualization, and explores how to choose a data visualization design, select tools from the Microsoft stack, and build a complete dynamic data visualization.
By Adam Jorgensen, Joe Salvatore, Mark Stacey
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Visualize This: The FlowingData Guide to Design, Visualization, and StatisticsUsing step-by-step tutorials to show you how to visualize and tell stories with data, this full-color book explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.
By Nathan Yau
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Visualizing Graph DataLoaded with fascinating examples and case studies to show you the real-world value of graph visualizations, this book teaches you how to understand graph data, build graph data structures, and create meaningful visualizations.
By Corey L. Lanum
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Visualizing the Data City: Social Media as a Source of Knowledge for Urban Planning and ManagementPresenting a set of experiments conducted in collaboration with urban stakeholders at various levels (including citizens, city administrators, urban planners, local industries and NGOs) in Milan and New York, this book offers a fascinating exploration of techniques for mining the social web that can be applied to procure user-generated content as a means of investigating urban dynamics.
By Giorgia Lupi, Luca Simeone, Paolo Ciuccarelli
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.NET InstantCode: Developing XML Applications for SQL ServerLearn how to use XML technologies, such as templates, XDR Schemas, and Updategrams, in applications to work with relational data stored in SQL Server databases.
By
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Beginning Database Design SolutionsExplaining how a database should be organized to ensure data integrity without sacrificing performance, this guide offers procedures for designing robust, flexible and secure databases that provide a solid foundation for all of your database applications.
By Rod Stephens
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Beginning Database Design Solutions: Understanding and Implementing Database Design Concepts for the Cloud and Beyond, Second EditionIn the newly revised second edition of Beginning Database Design Solutions: Understanding and Implementing Database Design Concepts for the Cloud and Beyond, Second Edition, award-winning programming instructor and mathematician Rod Stephens delivers an easy-to-understand guide to designing and implementing databases both in and out of the cloud.
By Rod Stephens
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Beginning Database Design: From Novice to Professional, Second EditionOffering numerous examples to help you avoid the many pitfalls that entrap new and not-so-new database designers, this book will help you learn to discover and represent the details and scope of any design problem you choose to attack.
By Clare Churcher
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Beginning Database Programming Using ASP.NET Core 3: With MVC, Razor Pages, Web API, jQuery, Angular, SQL Server, and NoSQLHit the ground running with this book to quickly learn the fundamentals of HTML form processing, user authentication, and database CRUD (Create, Read, Update, and Delete) operations using the ASP.NET Core family of technologies.
By Bipin Joshi
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Beginning Microsoft SQL Server 2008 ProgrammingStarting simply and gradually progressing to increasingly advanced topics, this authoritative guide explains the significant changes to the fundamental core components of SQL Server 2008.
By Robert Vieira
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Beginning SQL Server 2008 for Developers: From Novice to ProfessionalCatering to a wide range of developers, this book contains plenty of examples that let you see how areas of SQL Server work and how you can apply the technology in your own work.
By Robin Dewson
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Beginning SQL Server for Developers, Fourth EditionIncluding plenty of examples of tasks that developers routinely perform, this thorough book takes you through the entire database development process, from installing the software to creating a database to writing the code to connect to that database and move data in and out.
By Robin Dewson
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Beginning SQL Server Modeling: Model-Driven Application Development in SQL Server 2008Containing the information you need to be successful with designing and implementing workflow modeling, this book will help you gain a comprehensive understanding of how to apply DSLs and other modeling components in the development of SQL Server implementations.
By Bart Weller
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Database Development for DummiesFrom data modeling methods and development tools to Internet accessibility and security, this book shows you, step-by-step, everything you need to know about building a custom system from the ground up.
By Allen G. Taylor
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Database Modeling and Design: Logical Design, Fifth EditionIncluding clear explanations, lots of terrific examples, an illustrative case study, and practical advice, this text will show you how to model and design your database application in consideration of new technology or new business needs.
By H.V. Jagadish, Sam S. Lightstone, Toby J. Teorey, Tom Nadeau
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Expert Cube Development with Microsoft SQL Server 2008 Analysis Services: Design and Implement Fast, Scalable, and Maintainable CubesOffering insight into the best practices for designing and building Microsoft Analysis Services 2008 cubes, this book provides details about server architecture, performance tuning, security, and administration of an Analysis Services solution.
By Alberto Ferrari, Chris Webb, Marco Russo
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Extending SSIS with .NET Scripting: A Toolkit for SQL Server Integration ServicesOffering a wide array of readymade examples for everyday problems, this comprehensive book provides a timeless and comprehensive scripting toolkit for SQL Server Integration Services to solve a wide array of everyday problems that SSIS developers encounter.
By Joost van Rossum, Régis Baccaro
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Introducing Jakarta EE CDI: Contexts and Dependency Injection for Enterprise Java DevelopmentDiscover the Jakarta EE Contexts and Dependency Injection (CDI 2.0) framework which helps you write better code through the use of well-defined enterprise Java-based components and beans (EJBs).
By Luqman Saeed
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Joe Celko's SQL for Smarties: Advanced SQL Programming, Fifth EditionFeaturing tips and techniques, as well as the best solutions to old and new challenges, this classic reference conveys the way you need to think in order to get the most out of SQL programming efforts for both correctness and performance.
By Joe Celko
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Joe Celko's SQL Programming StyleOffering you expert advice from a noted SQL guru and award-winning columnist, this book is a collection of heuristics and rules, tips, and tricks that will help you improve SQL programming style and proficiency.
By Joe Celko
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Knight's Microsoft SQL Server 2012 Integration Services 24-Hour TrainerHelping you build the confidence you need to start your first SQL Server Integration Services (SSIS) project, this practical, hands-on guide walks you through loading and synchronizing database systems using SSIS.
By Brian Knight, Devin Knight, Mike Davis, Wayne Snyder
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LINQ for DummiesIntroducing you to LINQ and the .NET Framework technologies, this book will show you how you can use LINQ to query any object, any dataset, and kind of XML, SQL Server, and more -- no questions asked.
By John Paul Mueller
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Microsoft SQL Server 2008 Integration Services: Problem-Design-SolutionAfter an overview of SSIS architecture, this authoritative guide shows you how to design, build, deploy, and manage solutions to real-world problems that SSIS administrators and developers face day-to-day.
By Brian Knight, Erik Veerman, Jay Hackney, Jessica M. Moss
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Microsoft SQL Server Reporting Services Recipes: For Designing Expert ReportsAuthored by well-known SQL Server Reporting Services experts, this book offers step-by-step recipes for creating various types of reports, and gives you the tools to meet your clients' needs.
By Paul Turley, Robert M. Bruckner
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Oracle SQL Developer Data Modeler for Database Design MasteryIn this practical Oracle Press guide, Oracle ACE Director Heli Helskyaho explains the process of database design using Oracle SQL Developer Data Modeler the powerful, free tool that flawlessly supports Oracle and other database environments, including Microsoft SQL Server and IBM DB2.
By Heli Helskyaho
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Pro SQL Server 2012 PracticesPresenting an anthology of high-end wisdom from accomplished database administrators who are pushing the performance and feature envelope of Microsoft SQL Server 2012, this book will help you deliver the most value for your company's investment in Microsoft's flagship database system.
By Bradley Ball, et al.
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Pro SQL Server 2012 Reporting Services, Third EditionProviding best practices for using Reporting Services, this book covers the very latest in new features for SQL Server 2012 and opens the door to delivering customizable, web-enabled reports across your business at reasonable cost.
By Brian McDonald, Rodney Landrum, Shawn McGehee
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Book
Pro SQL Server Always On Availability GroupsWith a focus on real-world experiences and war stories, this book is your field guide to planning, deploying, managing, and troubleshooting Always On Availability Groups, and shows how to reduce downtime, maximize application availability, and provide data protection.
By Uttam Parui, Vivek Sanil
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Book
Pro SQL Server InternalsExplaining how different SQL Server components work "under the hood" and how they communicate with each other, this book provides a solid roadmap for understanding the depth and power of the SQL Server database backend, regardless of the version and edition of SQL Server you use.
By Dmitri Korotkevitch
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Book
Pro SQL Server on Microsoft AzureLearn the basics of Microsoft Azure and see how SQL Server on Azure VMs (Infrastructure-as-a-Service) and Azure SQL Databases (Platform-as-a-Service) work. This concise book shows you how to deploy, operate, and maintain your data using any one or a combination of these offerings along with your on-premise environment.
By Amit Banerjee, Pranab Mazumdar, Sourabh Agarwal
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Book
Pro SQL Server Relational Database Design and Implementation, Fifth EditionGrounded in best practices and a solid understanding of the underlying theory, this comprehensive resource shows how to "get it right" in SQL Server database design and lay a solid groundwork for the future use of valuable business data.
By Jessica Moss, Louis Davidson
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Book
Pro T-SQL 2019: Toward Speed, Scalability, and Standardization for SQL Server DevelopersIncluding numerous hands-on examples and straightforward explanations, this book provides the help you need in writing T-SQL that performs fast and is easy to maintain.
By Elizabeth Noble
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Book
Professional ADO.NET 3.5 with LINQ and the Entity FrameworkShowing you how to leverage these cutting-edge query and object/relational mapping technologies for enterprise-class computing, this book provides you with hands-on coding techniques for data-intensive web and Windows projects.
By Roger Jennings
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Book
Professional LINQHelping to revolutionize the way you can work with data, this comprehensive guide shows you how to effectively utilize LINQ so that you can query XML, SQL databases, ADO.NET DataSets, and other data sources.
By Scott Klein
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Book
Professional Microsoft SQL Server 2008 ProgrammingIncluding detailed, practical code examples, this comprehensive guide provides you with the information you need to quickly create and deploy data-driven solutions to meet your business needs.
By Rob Vieira
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Book
Professional SQL Server 2012 Internals and TroubleshootingPacked with expert advice and real-world examples, this hands-on resource shows you how to troubleshoot SQL Server 2012 based on a thorough understanding of SQL Server and Windows internals.
By Christian Bolton
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Book
Relational Database Design and Implementation, Fourth EditionIncluding three case studies, each illustrating a different database design challenge, this book provides the conceptual and practical information necessary to develop a database design and management scheme that ensures data accuracy and user satisfaction while optimizing performance.
By Jan L. Harrington
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Book
SQL Server 2012 Data Integration RecipesIf you're looking for a resource to cover data integration and ETL across the gamut of Microsoft's SQL Server toolset, this single volume provides focused and practical solutions to real world problems of data integration.
By Adam Aspin
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Book
SQL Server AlwaysOn Revealed, Second EditionProviding real-world advice on configuration and performance considerations, this hands-on guide shows you how to build and configure the most appropriate topology to meet the high-availability and disaster recovery requirements you are faced with.
By Peter A. Carter
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Book
SQL Server Integration Services Design Patterns, Second EditionA book of recipes for SQL Server Integration Services (SSIS), this practical resource takes you through numerous design patterns that you'll soon be using every day, providing the thought process and technical details needed to support their solutions.
By Andy Leonard, Jessica Moss, Matt Masson, Michelle Ufford, Tim Mitchell
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Book
Thinking in LINQ: Harnessing the Power of Functional Programing in .NET ApplicationsUsing the familiar "recipes" approach, this straightforward guide shows you how to approach building LINQ-based solutions, how such solutions are different from what you already know, and why they're better.
By Sudipta Mukherjee
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Book
Usage-Driven Database Design: From Logical Data Modeling through Physical Schema DefinitionPresenting an end-to-end framework from logical data modeling through physical schema definition, this book includes lessons learned, techniques, and tricks that can turn a database disaster into a success.
By George Tillmann