Big Data Analytics: Turning Big Data into Big Money

Frank J. Ohlhorst

ISBN: 9788126554645

176 pages

Exclusively distributed by BSP Books

 

INR 695

Description

Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits and identify new business opportunities.

 

Preface

Acknowledgments

 

Chapter 1 What is Big Data?

• The Arrival of Analytics

• Where is the Value?

• More to Big Data than Meets the Eye

• Dealing with the Nuances of Big Data

• An Open Source Brings Forth Tools

• Caution: Obstacles Ahead

 

Chapter 2 Why Big Data Matters

• Big Data Reaches Deep

• Obstacles Remain

• Data Continue to Evolve

• Data and Data Analysis are Getting More Complex

• The Future is Now

 

Chapter 3 Big Data and the Business Case

• Realizing Value

• The Case for Big Data

• The Rise of Big Data Options

• Beyond Hadoop

• With Choice Come Decisions

 

Chapter 4 Building the Big Data Team

• The Data Scientist

• The Team Challenge

• Different Teams, Different Goals

• Don't Forget the Data

• Challenges Remain

• Teams versus Culture

• Gauging Success

 

Chapter 5 Big Data Sources

• Hunting for Data

• Setting the Goal

• Big Data Sources Growing

• 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

• The Storage Dilemma

• Building a Platform

• Bringing Structure to Unstructured Data

• Processing Power

• Choosing among in-house, Outsourced or Hybrid Approaches

 

Chapter 7 Security, Compliance, Auditing and Protection

• Pragmatic Steps to Securing Big Data

• Classifying Data

• Protecting Big Data Analytics

• Big Data and Compliance

• The Intellectual Property Challenge

 

Chapter 8 The Evolution of Big Data

• Big Data: The Modern Era

• Today, Tomorrow and the Next Day

• Changing Algorithms

 

Chapter 9 Best Practices for Big Data Analytics

• Start Small with Big Data

• Thinking Big

• Avoiding Worst Practices

• Baby Steps

• The Value of Anomalies

• Expediency versus Accuracy

• In-Memory Processing

 

Chapter 10 Bringing It All Together

• The Path to Big Data

• The Realities of Thinking Big Data

• Hands-on Big Data

• The Big Data Pipeline in Depth

• Big Data Visualization

• Big Data Privacy

 

Appendix Supporting Data

• "The MapR Distribution for Apache Hadoop"

• "High Availability: No Single Points of Failure"

 

About the Author

Index