Big data analytics : from strategic planning to enterprise integration with tools, techniques, NoSQL, and graph

Loshin, David 1963- (author.).

Summary: Provides an overview of the drivers for introducing big data technology into an 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.

Record details

ISBN: 0124173195
ISBN: 9780124173194
ISBN: 1299821294
ISBN: 9781299821293
ISBN: 0124186645
ISBN: 9780124186644
Physical Description: 1 online resource (xx, 120 pages) : color illustrations
remote
Publisher: Amsterdam : Elsevier/Morgan Kaufmann, 2013.

Content descriptions

General Note:	CatMonthString:august.16 Multi-User.
Bibliography, etc. Note:	Includes bibliographical references.
Formatted Contents Note:	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.
Restrictions on Access Note:	Access restricted by subscription. Restrictions: NLC students and staff only.
Terms Governing Use and Reproduction Note:	Access requires VIU IP addresses and is restricted to VIU students, faculty and staff.
Source of Description Note:	Print version record.