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

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

by David Loshin
ISBN-10:
0124173195
ISBN-13:
9780124173194
Pub. Date:
08/30/2013
Publisher:
Elsevier Science
ISBN-10:
0124173195
ISBN-13:
9780124173194
Pub. Date:
08/30/2013
Publisher:
Elsevier Science
Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph

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

by David Loshin
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Overview

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.


Product Details

ISBN-13: 9780124173194
Publisher: Elsevier Science
Publication date: 08/30/2013
Edition description: New Edition
Pages: 142
Product dimensions: 5.90(w) x 8.80(h) x 0.40(d)

About the Author

David Loshin is President of Knowledge Integrity, Inc., a company specializing in data management consulting. The author of numerous books on performance computing and data management, including “Master Data Management" (2008) and “Business Intelligence – The Savvy Manager’s Guide" (2003), and creator of courses and tutorials on all facets of data management best practices, David is often looked to for thought leadership in the information management industry.

Table of Contents

  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

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

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