Machine generated contents note: ch. 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 --
ch. 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 --
ch. 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 --
ch. 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 --
ch. 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 --
ch. 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 --
ch. 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 --
ch. 8 The Evolution of Big Data --
Big Data: The Modern Era --
Today, Tomorrow, and the Next Day --
Changing Algorithms --
ch. 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 --
ch. 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"

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