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

By: Material type: TextTextPublisher: Amsterdam : Elsevier/Morgan Kaufmann, 2013Description: xx,120 pages ; 23 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780124173194
  • 0124173195
Subject(s): DDC classification:
  • 23 005.74 L.D.B
LOC classification:
  • QA76.9.D32 B54 2013
Online resources:
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 Books Main library A2 Computers & Information Technology ( Information systems ) 005.74 L.D.B (Browse shelf(Opens below)) Available 00011622

computer bookfair2015

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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