Taming the Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics

Taming the Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics

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Product Details

ISBN-13: 9781118208786
Publisher: Wiley
Publication date: 04/24/2012
Series: Wiley and SAS Business Series , #49
Pages: 336
Product dimensions: 6.20(w) x 9.10(h) x 1.40(d)

About the Author

BILL FRANKS is the Chief Analytics Officer for Teradata, where he provides insight on trends in the analytics and big data space and helps organizations implement their analytics effectively. In addition, Bill is a faculty member of the International Institute for Analytics and is an active speaker and blogger. His consulting work has spanned many industries for companies ranging from Fortune 100 companies to small non-profits.

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Table of Contents

Foreword xiii

Preface xvii

Acknowledgments xxv

PART ONE THE RISE OF BIG DATA 1

Chapter 1 What Is Big Data and Why Does It Matter? 3

What Is Big Data? 4

Is the “Big” Part or the “Data” PartMore Important? 5

How Is Big Data Different? 7

How Is Big Data More of the Same? 9

Risks of Big Data 10

Why You Need to Tame Big Data 12

The Structure of Big Data 14

Exploring Big Data 16

Most Big Data Doesn’t Matter 17

Filtering Big Data Effectively 20

Mixing Big Data with Traditional Data 21

The Need for Standards 22

Today’s Big Data Is Not Tomorrow’s Big Data 24

Wrap-Up 26

Notes 27

Chapter 2 Web Data: The Original Big Data  29

Web Data Overview 30

What Web Data Reveals 36

Web Data in Action 42

Wrap-Up 50

Note 51

Chapter 3 A Cross-Section of Big Data Sources and the ValueThey Hold  53

Auto Insurance: The Value of Telematics Data 54

Multiple Industries: The Value of Text Data 57

Multiple Industries: The Value of Time and Location Data 60

Retail and Manufacturing: The Value of Radio FrequencyIdentification Data 64

Utilities: The Value of Smart-Grid Data 68

Gaming: The Value of Casino Chip Tracking Data 71

Industrial Engines and Equipment: The Value of Sensor Data73

Video Games: The Value of Telemetry Data 76

Telecommunications and Other Industries: The Value of SocialNetwork Data 78

Wrap-Up 82

PART TWO TAMING BIG DATA: THE TECHNOLOGIES, PROCESSES, ANDMETHODS  85

Chapter 4 The Evolution of Analytic Scalability 87

A History of Scalability 88

The Convergence of the Analytic and Data Environments 90

Massively Parallel Processing Systems 93

Cloud Computing 102

Grid Computing 109

MapReduce 110

It Isn’t an Either/Or Choice! 117

Wrap-Up 118

Notes 119

Chapter 5 The Evolution of Analytic Processes 121

The Analytic Sandbox 122

What Is an Analytic Data Set? 133

Enterprise Analytic Data Sets 137

Embedded Scoring 145

Wrap-Up 151

Chapter 6 The Evolution of Analytic Tools and Methods153

The Evolution of Analytic Methods 154

The Evolution of Analytic Tools 163

Wrap-Up 175

Notes 176

PART THREE TAMING BIG DATA: THE PEOPLE AND APPROACHES 177

Chapter 7 What Makes a Great Analysis?  179

Analysis versus Reporting 179

Analysis: Make It G.R.E.A.T.! 184

Core Analytics versus Advanced Analytics 186

Listen to Your Analysis 188

Framing the Problem Correctly 189

Statistical Signifi cance versus Business Importance 191

Samples versus Populations 195

Making Inferences versus Computing Statistics 198

Wrap-Up 200

Chapter 8 What Makes a Great Analytic Professional? 201

Who Is the Analytic Professional? 202

The Common Misconceptions about Analytic Professionals 203

Every Great Analytic Professional Is an Exception 204

The Often Underrated Traits of a Great Analytic Professional208

Is Analytics Certifi cation Needed, or Is It Noise? 222

Wrap-Up 224

Chapter 9 What Makes a Great Analytics Team? 227

All Industries Are Not Created Equal 228

Just Get Started! 230

There’s a Talent Crunch out There 231

Team Structures 232

Keeping a Great Team’s Skills Up 237

Who Should Be Doing Advanced Analytics? 241

Why Can’t IT and Analytic Professionals Get Along? 245

Wrap-Up 247

Notes 248

PART FOUR BRINGING IT TOGETHER: THE ANALYTICS CULTURE 249

Chapter 10 Enabling Analytic Innovation  251

Businesses Need More Innovation 252

Traditional Approaches Hamper Innovation 253

Defi ning Analytic Innovation 255

Iterative Approaches to Analytic Innovation 256

Consider a Change in Perspective 257

Are You Ready for an Analytic Innovation Center? 259

Wrap-Up 269

Note 270

Chapter 11 Creating a Culture of Innovation andDiscovery 271

Setting the Stage 272

Overview of the Key Principles 274

Wrap-Up 290

Notes 291

Conclusion: Think Bigger! 293

About the Author 295

Index 297

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Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics 4.3 out of 5 based on 0 ratings. 4 reviews.
Anonymous More than 1 year ago
My background is with an area of the Government where there is no concern for analyzing big data for improving a competitive position or profit margin. This book was so easy to read and understand that I achieved a good understanding of what the private sector needs to do with big data in order to improve their competitive advantage and profits. The discussion of what constitutes big data certainly opened my eyes as to how our internet usage and other data about us is being recorded and analyzed. The arguments presented clearly justify the need for qualified analytical professionals as a distinct part of an organization. This book is a must read for anyone in an organization that needs to do analytics and for students studying for a career that will involve the creation or use of analytics. D. Campbell
Anonymous More than 1 year ago
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Anonymous More than 1 year ago
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