Big Data Analytics. From Strategic Planning to Enterprise Integration with Tools, Techniques, No: SQL, and Graph

✍ Scribed by David Loshin (Auth.)

• Publisher: Morgan Kaufmann
• Year: 2013
• Tongue: English
• Leaves: 129
• Edition: 1
• Category: Library

✦ Synopsis

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

✦ Table of Contents

Content:
Front-matter, Pages i,iii
Copyright, Page iv
Foreword, Pages ix-xi
Preface, Pages xiii-xx
Acknowledgments, Page xxi
Chapter 1 - Market and Business Drivers for Big Data Analytics, Pages 1-9
Chapter 2 - Business Problems Suited to Big Data Analytics, Pages 11-19
Chapter 3 - Achieving Organizational Alignment for Big Data Analytics, Pages 21-28
Chapter 4 - Developing a Strategy for Integrating Big Data Analytics into the Enterprise, Pages 29-37
Chapter 5 - Data Governance for Big Data Analytics: Considerations for Data Policies and Processes, Pages 39-48
Chapter 6 - Introduction to High-Performance Appliances for Big Data Management, Pages 49-59
Chapter 7 - Big Data Tools and Techniques, Pages 61-72
Chapter 8 - Developing Big Data Applications, Pages 73-81
Chapter 9 - NoSQL Data Management for Big Data, Pages 83-90
Chapter 10 - Using Graph Analytics for Big Data, Pages 91-103
Chapter 11 - Developing the Big Data Roadmap, Pages 105-120