Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph
- 2h 7m
- David Loshin
- Elsevier Science and Technology Books, Inc.
- 2013
Big Data Analytics 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, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning to integrate back into production within the enterprise.
- Guides the reader in assessing the opportunities and value proposition
- Overview of big data hardware and software architectures
- Presents a variety of technologies and how they fit into the big data ecosystem
About the Author
David Loshin is President of Knowledge Integrity, Inc., a company specializing in data management consulting. The author of numerous books on performance computing and data management, including Master Data Management (2008) and Business Intelligence - The Savvy Manager's Guide (2003), and creator of courses and tutorials on all facets of data management best practices, David is often looked to for thought leadership in the information management industry.
In this Book
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Foreword
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Market and Business Drivers for Big Data Analytics
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Business Problems Suited to Big Data Analytics
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Achieving Organizational Alignment for Big Data Analytics
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Developing a Strategy for Integrating Big Data Analytics into the Enterprise
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Data Governance for Big Data Analytics
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Introduction to High-Performance Appliances for Big Data Management
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Big Data Tools and Techniques
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Developing Big Data Applications
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NoSQL Data Management for Big Data
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Using Graph Analytics for Big Data
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Developing the Big Data Roadmap
