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Index
Big Data Now: 2012 Edition
1. Introduction
2. Getting Up to Speed with Big Data
What Is Big Data?
What Does Big Data Look Like?
In Practice
What Is Apache Hadoop?
The Core of Hadoop: MapReduce
Hadoop’s Lower Levels: HDFS and MapReduce
Improving Programmability: Pig and Hive
Improving Data Access: HBase, Sqoop, and Flume
Coordination and Workflow: Zookeeper and Oozie
Management and Deployment: Ambari and Whirr
Machine Learning: Mahout
Using Hadoop
Why Big Data Is Big: The Digital Nervous System
From Exoskeleton to Nervous System
Charting the Transition
Coming, Ready or Not
3. Big Data Tools, Techniques, and Strategies
Designing Great Data Products
Objective-based Data Products
The Model Assembly Line: A Case Study of Optimal Decisions Group
Drivetrain Approach to Recommender Systems
Optimizing Lifetime Customer Value
Best Practices from Physical Data Products
The Future for Data Products
What It Takes to Build Great Machine Learning Products
Progress in Machine Learning
Interesting Problems Are Never Off the Shelf
Defining the Problem
4. The Application of Big Data
Stories over Spreadsheets
A Thought on Dashboards
Full Interview
Mining the Astronomical Literature
Interview with Robert Simpson: Behind the Project and What Lies Ahead
Science between the Cracks
The Dark Side of Data
The Digital Publishing Landscape
Privacy by Design
5. What to Watch for in Big Data
Big Data Is Our Generation’s Civil Rights Issue, and We Don’t Know It
Three Kinds of Big Data
Enterprise BI 2.0
Civil Engineering
Customer Relationship Optimization
Headlong into the Trough
Automated Science, Deep Data, and the Paradox of Information
(Semi)Automated Science
Deep Data
The Paradox of Information
The Chicken and Egg of Big Data Solutions
Walking the Tightrope of Visualization Criticism
The Visualization Ecosystem
The Irrationality of Needs: Fast Food to Fine Dining
Grown-up Criticism
Final Thoughts
6. Big Data and Health Care
Solving the Wanamaker Problem for Health Care
Making Health Care More Effective
More Data, More Sources
Paying for Results
Enabling Data
Building the Health Care System We Want
Recommended Reading
Dr. Farzad Mostashari on Building the Health Information Infrastructure for the Modern ePatient
John Wilbanks Discusses the Risks and Rewards of a Health Data Commons
Esther Dyson on Health Data, “Preemptive Healthcare,” and the Next Big Thing
A Marriage of Data and Caregivers Gives Dr. Atul Gawande Hope for Health Care
Five Elements of Reform that Health Providers Would Rather Not Hear About
About the Author
Copyright
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