Big Data Analytics

1st Edition

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

Authors: David Loshin
Paperback ISBN: 9780124173194
eBook ISBN: 9780124186644
Imprint: Morgan Kaufmann
Published Date: 30th August 2013
Page Count: 142
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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.

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


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

Table of Contents




The Challenge of Adopting New Technology

What This Book Is

Why You Should Be Reading This Book

Our Approach to Knowledge Transfer

Contact Me


Chapter 1. Market and Business Drivers for Big Data Analytics

1.1 Separating the Big Data Reality from Hype

1.2 Understanding the Business Drivers

1.3 Lowering the Barrier to Entry

1.4 Considerations

1.5 Thought Exercises

Chapter 2. Business Problems Suited to Big Data Analytics

2.1 Validating (Against) the Hype: Organizational Fitness

2.2 The Promotion of the Value of Big Data

2.3 Big Data Use Cases

2.4 Characteristics of Big Data Applications

2.5 Perception and Quantification of Value

2.6 Forward Thinking About Value

2.7 Thought Exercises

Chapter 3. Achieving Organizational Alignment for Big Data Analytics

3.1 Two Key Questions

3.2 The Historical Perspective to Reporting and Analytics

3.3 The Culture Clash Challenge

3.4 Considering Aspects of Adopting Big Data Technology

3.5 Involving the Right Decision Makers

3.6 Roles of Organizational Alignment

3.7 Thought Exercises

Chapter 4. Developing a Strategy for Integrating Big Data Analytics into the Enterprise

4.1 Deciding What, How, and When Big Data Technologies Are Right for You

4.2 The Strategic Plan for Technology Adoption

4.3 Standardize Practices for Soliciting Business User Expectations

4.4 Acceptability for Adoption: Clarify Go/No-Go Criteria

4.5 Prepare the Data Environment for Massive Scalability

4.6 Promote Data Reuse

4.7 Institute Proper Levels of Oversight and Governance

4.8 Provide a Governed Process for Mainstreaming Technology

4.9 Considerations for Enterprise Integration

4.10 Thought Exercis


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© Morgan Kaufmann 2013
Morgan Kaufmann
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About the Author

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


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 (