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




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

eBook + Print Book

USD 35.94
USD 59.90

Buy both together and save 40%

Print Book


In Stock

Estimated Delivery Time
USD 29.95

eBook Overview

VST (VitalSource Bookshelf) format

DRM-free included formats : EPUB, Mobi (for Kindle), PDF

USD 29.95
Add to Cart

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


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.


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 (


Cyber Week Pre-Sale | Use Code CYBOOK15

Shop with Confidence

Free Shipping around the world
▪ Broad range of products
▪ 30 days return policy

Contact Us