Book Description

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
Chapter 1. Market and Business Drivers for Big Data Analytics
Chapter 2. Business Problems Suited to Big Data Analytics
Chapter 3. Achieving Organizational Alignment for Big Data Analytics
Chapter 4. Developing a Strategy for Integrating Big Data Analytics into the Enterprise
Chapter 5. Data Governance for Big Data Analytics: Considerations for Data Policies and Processes
Chapter 6. Introduction to High-Performance Appliances for Big Data Management
Chapter 7. Big Data Tools and Techniques
Chapter 8. Developing Big Data Applications
Chapter 9. NoSQL Data Management for Big Data
Chapter 10. Using Graph Analytics for Big Data
Chapter 11. Developing the Big Data Roadmap

Book Details

• Paperback: 142 pages
• Publisher: Morgan Kaufmann (August 2013)
• Language: English
• ISBN-10: 0124173195
• ISBN-13: 978-0124173194

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