{"product_id":"taming-the-big-data-tidal-wave-9781118208786","title":"Taming The Big Data Tidal Wave","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eYou 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   .\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eForeword xiii\u003c\/p\u003e \u003cp\u003ePreface xvii\u003c\/p\u003e \u003cp\u003eAcknowledgments xxv\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart One The Rise of Big Data 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 What Is Big Data and Why Does It Matter? 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat Is Big Data? 4\u003c\/p\u003e \u003cp\u003eIs the “Big” Part or the “Data” Part More Important? 5\u003c\/p\u003e \u003cp\u003eHow Is Big Data Different? 7\u003c\/p\u003e \u003cp\u003eHow Is Big Data More of the Same? 9\u003c\/p\u003e \u003cp\u003eRisks of Big Data 10\u003c\/p\u003e \u003cp\u003eWhy You Need to Tame Big Data 12\u003c\/p\u003e \u003cp\u003eThe Structure of Big Data 14\u003c\/p\u003e \u003cp\u003eExploring Big Data 16\u003c\/p\u003e \u003cp\u003eMost Big Data Doesn’t Matter 17\u003c\/p\u003e \u003cp\u003eFiltering Big Data Effectively 20\u003c\/p\u003e \u003cp\u003eMixing Big Data with Traditional Data 21\u003c\/p\u003e \u003cp\u003eThe Need for Standards 22\u003c\/p\u003e \u003cp\u003eToday’s Big Data Is Not Tomorrow’s Big Data 24\u003c\/p\u003e \u003cp\u003eWrap-Up 26\u003c\/p\u003e \u003cp\u003eNotes 27\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Web Data: The Original Big Data 29\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWeb Data Overview 30\u003c\/p\u003e \u003cp\u003eWhat Web Data Reveals 36\u003c\/p\u003e \u003cp\u003eWeb Data in Action 42\u003c\/p\u003e \u003cp\u003eWrap-Up 50\u003c\/p\u003e \u003cp\u003eNote 51\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 A Cross-Section of Big Data Sources and the Value They Hold 53\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAuto Insurance: The Value of Telematics Data 54\u003c\/p\u003e \u003cp\u003eMultiple Industries: The Value of Text Data 57\u003c\/p\u003e \u003cp\u003eMultiple Industries: The Value of Time and Location Data 60\u003c\/p\u003e \u003cp\u003eRetail and Manufacturing: The Value of Radio Frequency Identification Data 64\u003c\/p\u003e \u003cp\u003eUtilities: The Value of Smart-Grid Data 68\u003c\/p\u003e \u003cp\u003eGaming: The Value of Casino Chip Tracking Data 71\u003c\/p\u003e \u003cp\u003eIndustrial Engines and Equipment: The Value of Sensor Data 73\u003c\/p\u003e \u003cp\u003eVideo Games: The Value of Telemetry Data 76\u003c\/p\u003e \u003cp\u003eTelecommunications and Other Industries: The Value of Social Network Data 78\u003c\/p\u003e \u003cp\u003eWrap-Up 82\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart Two Taming Big Data: The Technologies, Processes, and Methods 85\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 The Evolution of Analytic Scalability 87\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eA History of Scalability 88\u003c\/p\u003e \u003cp\u003eThe Convergence of the Analytic and Data Environments 90\u003c\/p\u003e \u003cp\u003eMassively Parallel Processing Systems 93\u003c\/p\u003e \u003cp\u003eCloud Computing 102\u003c\/p\u003e \u003cp\u003eGrid Computing 109\u003c\/p\u003e \u003cp\u003eMapReduce 110\u003c\/p\u003e \u003cp\u003eIt Isn’t an Either\/Or Choice! 117\u003c\/p\u003e \u003cp\u003eWrap-Up 118\u003c\/p\u003e \u003cp\u003eNotes 119\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 The Evolution of Analytic Processes 121\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Analytic Sandbox 122\u003c\/p\u003e \u003cp\u003eWhat Is an Analytic Data Set? 133\u003c\/p\u003e \u003cp\u003eEnterprise Analytic Data Sets 137\u003c\/p\u003e \u003cp\u003eEmbedded Scoring 145\u003c\/p\u003e \u003cp\u003eWrap-Up 151\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 The Evolution of Analytic Tools and Methods 153\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Evolution of Analytic Methods 154\u003c\/p\u003e \u003cp\u003eThe Evolution of Analytic Tools 163\u003c\/p\u003e \u003cp\u003eWrap-Up 175\u003c\/p\u003e \u003cp\u003eNotes 176\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart Three Taming Big Data: The People and Approaches 177\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 What Makes a Great Analysis? 179\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAnalysis versus Reporting 179\u003c\/p\u003e \u003cp\u003eAnalysis: Make It G.R.E.A.T.! 184\u003c\/p\u003e \u003cp\u003eCore Analytics versus Advanced Analytics 186\u003c\/p\u003e \u003cp\u003eListen to Your Analysis 188\u003c\/p\u003e \u003cp\u003eFraming the Problem Correctly 189\u003c\/p\u003e \u003cp\u003eStatistical Significance versus Business Importance 191\u003c\/p\u003e \u003cp\u003eSamples versus Populations 195\u003c\/p\u003e \u003cp\u003eMaking Inferences versus Computing Statistics 198\u003c\/p\u003e \u003cp\u003eWrap-Up 200\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 What Makes a Great Analytic Professional? 201\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWho Is the Analytic Professional? 202\u003c\/p\u003e \u003cp\u003eThe Common Misconceptions about Analytic Professionals 203\u003c\/p\u003e \u003cp\u003eEvery Great Analytic Professional Is an Exception 204\u003c\/p\u003e \u003cp\u003eThe Often Underrated Traits of a Great Analytic Professional 208\u003c\/p\u003e \u003cp\u003eIs Analytics Certifi cation Needed, or Is It Noise? 222\u003c\/p\u003e \u003cp\u003eWrap-Up 224\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 What Makes a Great Analytics Team? 227\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAll Industries Are Not Created Equal 228\u003c\/p\u003e \u003cp\u003eJust Get Started! 230\u003c\/p\u003e \u003cp\u003eThere’s a Talent Crunch out There 231\u003c\/p\u003e \u003cp\u003eTeam Structures 232\u003c\/p\u003e \u003cp\u003eKeeping a Great Team’s Skills Up 237\u003c\/p\u003e \u003cp\u003eWho Should Be Doing Advanced Analytics? 241\u003c\/p\u003e \u003cp\u003eWhy Can’t IT and Analytic Professionals Get Along? 245\u003c\/p\u003e \u003cp\u003eWrap-Up 247\u003c\/p\u003e \u003cp\u003eNotes 248\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART FOUR BRINGING IT TOGETHER: THE ANALYTICS CULTURE 249\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Enabling Analytic Innovation 251\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBusinesses Need More Innovation 252\u003c\/p\u003e \u003cp\u003eTraditional Approaches Hamper Innovation 253\u003c\/p\u003e \u003cp\u003eDefining Analytic Innovation 255\u003c\/p\u003e \u003cp\u003eIterative Approaches to Analytic Innovation 256\u003c\/p\u003e \u003cp\u003eConsider a Change in Perspective 257\u003c\/p\u003e \u003cp\u003eAre You Ready for an Analytic Innovation Center? 259\u003c\/p\u003e \u003cp\u003eWrap-Up 269\u003c\/p\u003e \u003cp\u003eNote 270\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Creating a Culture of Innovation and Discovery 271\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSetting the Stage 272\u003c\/p\u003e \u003cp\u003eOverview of the Key Principles 274\u003c\/p\u003e \u003cp\u003eWrap-Up 290\u003c\/p\u003e \u003cp\u003eNotes 291\u003c\/p\u003e \u003cp\u003eConclusion: Think Bigger! 293\u003c\/p\u003e \u003cp\u003eAbout the Author 295\u003c\/p\u003e \u003cp\u003eIndex 297 \u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":48866367209815,"sku":"9781118208786","price":30.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781118208786.jpg?v=1722278308","url":"https:\/\/bookcurl.com\/products\/taming-the-big-data-tidal-wave-9781118208786","provider":"Book Curl","version":"1.0","type":"link"}