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Chapter 1: What Is Big Data and Why Is It Important?
A Flood of Mythic “Start-Up” Proportions
Big Data Is More Than Merely Big
A Convergence of Key Trends
Relatively Speaking . . .
A Wider Variety of Data
The Expanding Universe of Unstructured Data
Setting the Tone at the Top
Chapter 2: Industry Examples of Big Data
Digital Marketing and the Non-line World
Database Marketers, Pioneers of Big Data
Big Data and the New School of Marketing
Fraud and Big Data
Risk and Big Data
Credit Risk Management
Big Data and Algorithmic Trading
Big Data and Advances in Health Care
Pioneering New Frontiers in Medicine
Advertising and Big Data: From Papyrus to Seeing Somebody
Using Consumer Products as a Doorway
Chapter 3: Big Data Technology
The Elephant in the Room: Hadoop’s Parallel World
Old vs. New Approaches
Data Discovery: Work the Way People’s Minds Work
Open-Source Technology for Big Data Analytics
The Cloud and Big Data
Predictive Analytics Moves into the Limelight
Software as a Service BI
Mobile Business Intelligence Is Going Mainstream
Inter- and Trans-Firewall Analytics
R&D Approach Helps Adopt New Technology
Big Data Technology Terms
Data Size 101
Chapter 4: Information Management
The Big Data Foundation
Big Data Computing Platforms (or Computing Platforms That Handle the Big Data Analytics Tsunami)
Big Data Computation
More on Big Data Storage
Big Data Computational Limitations
Big Data Emerging ...
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