Big Data Now

Sep 25 – 27, 2013

Boston, MA

Oct 28 – 30, 2013

New York, NY

Nov 11 –13, 2013

London, England

©2013 O’Reilly Media, Inc. O’Reilly logo is a registered trademark of O’Reilly Media, Inc. 13110

Change the world with data.

We’ll show you how.

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O’Reilly Media, Inc.

Big Data Now: 2012 Edition

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ISBN: 978-1-449-35671-2

Big Data Now: 2012 Edition

by O’Reilly Media, Inc.

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Cover Designer: Karen Montgomery Interior Designer: David Futato

October 2012: First Edition

Revision History for the First Edition:

2012-10-24 First release

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Table of Contents

1. Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

2. Getting Up to Speed with Big Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

What Is Big Data? 3

What Does Big Data Look Like? 4

In Practice 8

What Is Apache Hadoop? 10

The Core of Hadoop: MapReduce 11

Hadoop’s Lower Levels: HDFS and MapReduce 11

Improving Programmability: Pig and Hive 12

Improving Data Access: HBase, Sqoop, and Flume 12

Coordination and Workflow: Zookeeper and Oozie 14

Management and Deployment: Ambari and Whirr 14

Machine Learning: Mahout 14

Using Hadoop 15

Why Big Data Is Big: The Digital Nervous System 15

From Exoskeleton to Nervous System 15

Charting the Transition 16

Coming, Ready or Not 17

3. Big Data Tools, Techniques, and Strategies. . . . . . . . . . . . . . . . . . . . . 19

Designing Great Data Products 19

Objective-based Data Products 20

The Model Assembly Line: A Case Study of Optimal

Decisions Group 21

Drivetrain Approach to Recommender Systems 25

Optimizing Lifetime Customer Value 28

Best Practices from Physical Data Products 31

The Future for Data Products 35

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What It Takes to Build Great Machine Learning Products 35

Progress in Machine Learning 36

Interesting Problems Are Never Off the Shelf 37

Defining the Problem 39

4. The Application of Big Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41

Stories over Spreadsheets 41

A Thought on Dashboards 43

Full Interview 43

Mining the Astronomical Literature 43

Interview with Robert Simpson: Behind the Project and

What Lies Ahead 48

Science between the Cracks 51

The Dark Side of Data 51

The Digital Publishing Landscape 52

Privacy by Design 53

5. What to Watch for in Big Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55

Big Data Is Our Generation’s Civil Rights Issue, and We

Don’t Know It 55

Three

...