Table of Contents for
Big Data Analytics: Turning Big Data into Big Money
Big Data Analytics: Turning Big Data into Big Money
Published by
John Wiley & Sons, 2012
- Cover
- Contents
- Big Data Analytics
- Title
- Copyright
- Preface
- Acknowledgments
- Chapter 1: What is Big Data?
- Chapter 2: Why Big Data Matters
- Chapter 3: Big Data and the Business Case
- Chapter 4: Building the Big Data Team
- Chapter 5: Big Data Sources
- Chapter 6: The Nuts and Bolts of Big Data
- Chapter 7: Security, Compliance, Auditing, and Protection
- Chapter 8: The Evolution of Big Data
- Chapter 9: Best Practices for Big Data Analytics
- Chapter 10: Bringing it All Together
- Appendix: Supporting Data
- About the Author
- Index
Contents
More to Big Data Than Meets the Eye
Dealing with the Nuances of Big Data
An Open Source Brings Forth Tools
Chapter 2: Why Big Data Matters
Data and Data Analysis are Getting More Complex
Chapter 3: Big Data and the Business Case
Chapter 4: Building the Big Data Team
Different Teams, Different Goals
Diving Deeper into Big Data Sources
A Wealth of Public Information
Getting Started with Big Data Acquisition
Ongoing Growth, No End in Sight
Chapter 6: The Nuts and Bolts of Big Data
Bringing Structure to Unstructured Data
Choosing among In-house, Outsourced, or Hybrid Approaches
Chapter 7: Security, Compliance, Auditing, and Protection
Pragmatic Steps to Securing Big Data
The Intellectual Property Challenge
Chapter 8: The Evolution of Big Data
Today, Tomorrow, and the Next Day
Chapter 9: Best Practices for Big Data Analytics
Chapter 10: Bringing it All Together
The Realities of Thinking Big Data
The Big Data Pipeline in Depth
“The MapR Distribution for Apache Hadoop”