Big Data Analytics, 1st Edition

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

 
Big Data Analytics, 1st Edition,David Loshin,ISBN9780124186644
 
 
 

  

Morgan Kaufmann

9780124186644

9780124173194

142

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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Key Features

  • Guides the reader in assessing the opportunities and value proposition
  • Overview of big data hardware and software architectures
  • Presents a variety of technologies and how they fit into the big data ecosystem

Description

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.

Readership

Line-of-business managers who want to solve their problems with big data analytics.

David Loshin

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.

Affiliations and Expertise

President, Knowledge Integrity Incorporated, Silver Spring, MD, USA

View additional works by David Loshin

Big Data Analytics, 1st Edition

  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

Quotes and reviews

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)

 
 

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