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Too Big to Ignore: The Business Case for Big Da, Simon+=

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Specificaties

Objectstaat
Nieuw: Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of ...
PublishedOn
2015-12-04
ISBN
9781119217848
EAN
9781119217848
Publication Name
Too Big to Ignore : the Business Case for Big Data
Item Length
8.9in
Publisher
Wiley & Sons, Incorporated, John
Publication Year
2015
Series
Wiley and Sas Business Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
1in
Author
Phil Simon
Item Width
6in
Item Weight
10.4 Oz
Number of Pages
256 Pages

Over dit product

Product Information

Residents in Boston, Massachusetts automatically report potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer personalized rates. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its 300 million customers. Quantcast lets companies target precise audiences and key demographics over the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? In short, via an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. In Too Big to Ignore , tech expert and award-winning author Phil Simon provides commonsense, jargon-free advice for people and organizations looking to understand and act on Big Data. Rife with case studies, examples, analysis, and quotes from real-world practitioners, youll learn why Big Data is a big deal.

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1119217849
ISBN-13
9781119217848
eBay Product ID (ePID)
215929409

Product Key Features

Author
Phil Simon
Publication Name
Too Big to Ignore : the Business Case for Big Data
Format
Trade Paperback
Language
English
Publication Year
2015
Series
Wiley and Sas Business Ser.
Type
Textbook
Number of Pages
256 Pages

Dimensions

Item Length
8.9in
Item Height
1in
Item Width
6in
Item Weight
10.4 Oz

Additional Product Features

Lc Classification Number
Qa76.9.D343s594 2015
Table of Content
List of Tables and Figures xv Preface xvii Acknowledgments xxiii Introduction This Ain't Your Father's Data 1 Better Car Insurance through Data 2 Potholes and General Road Hazards 5 Recruiting and Retention 8 How Big is Big? The Size of Big Data 10 Why Now? Explaining the Big Data Revolution 12 Central Thesis of Book 22 Plan of Attack 24 Who Should Read This Book? 25 Summary 25 Notes 26 Chapter 1 Data 101 and the Data Deluge 29 The Beginnings: Structured Data 30 Structure This! Web 2.0 and the Arrival of Big Data 33 The Composition of Data: Then and Now 39 The Current State of the Data Union 41 The Enterprise and the Brave New Big Data World 43 Summary 46 Notes 47 Chapter 2 Demystifying Big Data 49 Characteristics of Big Data 50 The Anti-Definition: What Big Data Is Not 71 Summary 72 Notes 72 Chapter 3 The Elements of Persuasion: Big Data Techniques 77 The Big Overview 79 Statistical Techniques and Methods 80 Data Visualization 84 Automation 88 Semantics 93 Big Data and the Gang of Four 98 Predictive Analytics 100 Limitations of Big Data 105 Summary 106 Notes 107 Chapter 4 Big Data Solutions 111 Projects, Applications, and Platforms 114 Other Data Storage Solutions 121 Websites, Start-ups, and Web Services 128 Hardware Considerations 133 The Art and Science of Predictive Analytics 136 Summary 137 Notes 137 Chapter 5 Case Studies: The Big Rewards of Big Data 141 Quantcast: A Small Big Data Company 141 Explorys: The Human Case for Big Data 147 NASA: How Contests, Gamification, and Open Innovation Enable Big Data 152 Summary 158 Notes 158 Chapter 6 Taking the Big Plunge 161 Before Starting 161 Starting the Journey 165 Avoiding the Big Pitfalls 174 Summary 181 Notes 181 Chapter 7 Big Data: Big Issues and Big Problems 183 Privacy: Big Data = Big Brother? 184 Big Security Concerns 188 Big, Pragmatic Issues 189 Summary 195 Notes 196 Chapter 8 Looking Forward: The Future of Big Data 197 Predicting Pregnancy 198 Big Data Is Here to Stay 200 Big Data Will Evolve 201 Projects and Movements 203 Big Data Will Only Get Bigger...and Smarter 205 The Internet of Things: The Move from Active to Passive Data Generation 206 Big Data: No Longer a Big Luxury 211 Stasis Is Not an Option 212 Summary 213 Notes 214 Final Thoughts 217 Spreading the Big Data Gospel 219 Notes 220 Selected Bibliography 221 About the Author 223 Index 225
Copyright Date
2013
Topic
Databases / Data Mining, Strategic Planning, Databases / General, Enterprise Applications / General
Dewey Decimal
006.312
Intended Audience
Trade
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Business & Economics

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