Taming The Big Data Tidal Wave

Bill Franks 지음

Wiley 2012년 03월 19일 출간

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You receive an e-mail. It contains an offer for a complete personal computer system. It seems like the retailer read your mind since you were exploring computers on their web site just a few hours prior#8230;.As you drive to the store to buy the computer bundle, you get an offer for a discounted coffee from the coffee shop you are getting ready to drive past. It says that since you-re in the area, you can get 10% off if you stop by in the next 20 minutes#8230;.As you drink your coffee, you receive an apology from the manufacturer of a product that you complained about yesterday on your Facebook page, as well as on the company-s web site#8230;.Finally, once you get back home, you receive notice of a special armor upgrade available for purchase in your favorite online video game. It is just what is needed to get past some spots you-ve been struggling with#8230;.Sound crazy? Are these things that can only happen in the distant future? No. All of these scenarios are possible today! Big data. Advanced analytics. Big data analytics. It seems you can-t escape such terms today. Everywhere you turn people are discussing, writing about, and promoting big data and advanced analytics. Well, you can now add this book to the discussion.What is real and what is hype? Such attention can lead one to the suspicion that perhaps the analysis of big data is something that is more hype than substance. While there has been a lot of hype over the past few years, the reality is that we are in a transformative era in terms of analytic capabilities and the leveraging of massive amounts of data. If you take the time to cut through the sometimes-over-zealous hype present in the media, you-ll find something very real and very powerful underneath it. With big data, the hype is driven by genuine excitement and anticipation of the business and consumer benefits that analyzing it will yield over time.Big data is the next wave of new data sour

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Foreword xiiiPreface xviiAcknowledgments xxvPART ONE THE RISE OF BIG DATA 1Chapter 1 What Is Big Data and Why Does It Matter?& 3What Is Big Data? 4Is the &"Big&" Part or the &"Data&" Part More Important? 5How Is Big Data Different? 7How Is Big Data More of the Same? 9Risks of Big Data 10Why You Need to Tame Big Data 12The Structure of Big Data 14Exploring Big Data 16Most Big Data Doesn&-t Matter 17Filtering Big Data Effectively 20Mixing Big Data with Traditional Data 21The Need for Standards 22Today&-s Big Data Is Not Tomorrow&-s Big Data 24Wrap-Up 26Notes 27Chapter 2 Web Data: The Original Big Data& 29Web Data Overview 30What Web Data Reveals 36Web Data in Action 42Wrap-Up 50Note 51Chapter 3 A Cross-Section of Big Data Sources and the Value They Hold& 53Auto Insurance: The Value of Telematics Data 54Multiple Industries: The Value of Text Data 57Multiple Industries: The Value of Time and Location Data 60Retail and Manufacturing: The Value of Radio Frequency Identification Data 64Utilities: The Value of Smart-Grid Data 68Gaming: The Value of Casino Chip Tracking Data 71Industrial Engines and Equipment: The Value of Sensor Data 73Video Games: The Value of Telemetry Data 76Telecommunications and Other Industries: The Value of Social Network Data 78Wrap-Up 82PART TWO TAMING BIG DATA: THE TECHNOLOGIES, PROCESSES, AND METHODS& 85Chapter 4 The Evolution of Analytic Scalability& 87A History of Scalability 88The Convergence of the Analytic and Data Environments 90Massively Parallel Processing Systems 93Cloud Computing 102Grid Computing 109MapReduce 110It Isn&-t an Either/Or Choice! 117Wrap-Up 118Notes 119Chapter 5 The Evolution of Analytic Processes& 121The Analytic Sandbox 122What Is an An

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저자(글) Bill Franks

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Bill Franks is Chief Analytics Officer for Teradata's global alliance programs. Bill also oversees the Business Analytics Innovation Center, which is jointly sponsored by Teradata and SAS and focuses on helping clients pursue innovative analytics. In addition, Bill is a faculty member of the International Institute for Analytics and is an active speaker and blogger. His analytic consulting work has spanned clients in a variety of industries for companies ranging in size from Fortune 100 companies to small non-profit organizations.