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

By:

Loshin, David, 1963- [author.]

Material type: Text

TextPublisher: Amsterdam : Elsevier/Morgan Kaufmann, 2013Description: xx,120 pages ; 23 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780124173194
0124173195

Subject(s):

Big data

DDC classification:

23 005.74 L.D.B

LOC classification:

QA76.9.D32 B54 2013

Online resources:

Abstract

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.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Main library A2	Computers & Information Technology ( Information systems )	005.74 L.D.B (Browse shelf(Opens below))	Available		00011622

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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.

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