Big Data Analytics
From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph

A short guide for managers to introduce big data technology to their organizations and change the culture and expectations around information management

David Loshin (Author)

9780124173194, Elsevier Science

Paperback, published 30 August 2013

142 pages
22.9 x 15.1 x 1.1 cm, 0.35 kg

"The teachings in this book go beyond technologies, skills and processes. Each chapter’s "thought exercises" challenge you to consider technology, business and management concepts in the context of your organization. These questions will help you evaluate next steps for making the technologies valuable to you." ---Michael Goldberg, editor in chief, Data Informed (www.data-informed.com)

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.

1. Business Drivers for Big Data Analytics
2. Business Problems that are Suited to Big Data Solutions
3. Organizational Alignment for Big Data
4. Developing a Strategic Plan for Integrating Big Data into the Enterprise
5. Data Governance: Policies and Processes for Big Data Oversight
6. High Performance Analytics Appliances
7. Big Data Tools and Techniques
8. Developing Big Data Applications
9. NoSQL
10. Graph Analytics
11. Summary

Subject Areas: Data capture & analysis [UNC], Database programming [UMT]