Mastering Microsoft Fabric: SAASification of Analytics

Learn 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.

The book starts with an overview of the analytics evolution from on premises to cloud infrastructure as a service (IaaS), platform as a service (PaaS), and now software as a service (SaaS version) and provides an introduction to Microsoft Fabric. You will learn how to provision Microsoft Fabric in your tenant along with the key capabilities of SaaS analytics products and the advantage of using Fabric in the enterprise analytics platform. OneLake and Lakehouse for data engineering is discussed as well as OneLake for data science. Author Ghosh teaches you about data warehouse offerings inside Microsoft Fabric and the new data integration experience which brings Azure Data Factory and Power Query Editor of Power BI together in a single platform. Also demonstrated is Real-Time Analytics in Fabric, including capabilities such as Kusto query and database. You will understand how the new event stream feature integrates with OneLake and other computations. You also will know how to configure the real-time alert capability in a zero code manner and go through the Power BI experience in the Fabric workspace. Fabric pricing and its licensing is also covered.

After reading this book, you will understand the capabilities of Microsoft Fabric and its Integration with current and upcoming Azure OpenAI capabilities.

What You'll Learn

• Build OneLake for all data like OneDrive for Microsoft Office
• Leverage shortcuts for cross-cloud data virtualization in Azure and AWS
• Understand upcoming OpenAI integration
• Discover new event streaming and Kusto query inside Fabric real-time analytics
• Utilize seamless tooling for machine learning and data science

Who This Book Is For

Citizen users and experts in the data engineering and data science fields, along with chief AI officers

About the Author

Debananda Ghosh is a Data and AI specialist and has been working in the Data and AI field for the past 18 years in Singapore. His expertise includes data warehouse, database admin, data engineering, big data and AI, data architecture, and related cloud analytics practice. Prior to Microsoft he worked in the Rolls Royce Singapore Data lab developing aviation analytics products in cloud, big data, and AI platforms. He completed his graduation from Jadavpur University, Kolkata and a Post Graduate Program in Data Science and Business Analytics from McCombs School of Business at the University of Texas at Austin. Deb has worked with customers across multiple industries such as finance, manufacturing, utilities, telecom, retail, ecommerce, and aviation. He is currently working with Microsoft cloud analytics products and helping industry partners achieve their digital transformation journey using advanced analytics and AI capability.