{"product_id":"taming-the-big-data-tidal-wave-isbn-9781118208786","title":"Taming The Big Data Tidal Wave","description":"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….  \u003cp\u003eAs 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….\u003c\/p\u003e \u003cp\u003eAs 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….\u003c\/p\u003e \u003cp\u003eFinally, 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….\u003c\/p\u003e \u003cp\u003eSound 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.\u003c\/p\u003e \u003cp\u003eWhat 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.\u003c\/p\u003e \u003cp\u003eBig data is the next wave of new data sources that will drive the next wave of analytic innovation in business, government, and academia. These innovations have the potential to radically change how organizations view their business. The analysis that big data enables will lead to decisions that are more informed and, in some cases, different from what they are today. It will yield insights that many can only dream about today. As you’ll see, there are many consistencies with the requirements to tame big data and what has always been needed to tame new data sources. However, the additional scale of big data necessitates utilizing the newest tools, technologies, methods, and processes. The old way of approaching analysis just won’t work. It is time to evolve the world of advanced analytics to the next level. That’s what this book is about.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eTaming the Big Data Tidal Wave\u003c\/i\u003e isn’t just the title of this book, but rather an activity that will determine which businesses win and which lose in the next decade. By preparing and taking the initiative, organizations can ride the big data tidal wave to success rather than being pummeled underneath the crushing surf. What do you need to know and how do you prepare in order to start taming big data and generating exciting new analytics from it? Sit back, get comfortable, and prepare to find out!\u003c\/p\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 \u003cp\u003e\u003cb\u003eBILL FRANKS\u003c\/b\u003e 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. \u003c\/p\u003e  \u003cp\u003eBig data is sprouting up everywhere. Leveraging it today will drive competitive advantage; ignoring it puts your organization at risk of lagging behind the competition. To keep your edge razor-sharp, you must aggressively pursue capturing and analyzing these new data sources to extract the insights that they offer . . . starting today! \u003ci\u003eTaming the Big Data Tidal Wave\u003c\/i\u003e provides you with the tools, processes, and methods you need to tackle big data and cultivate a culture of innovation and discovery in your organization. \u003c\/p\u003e\u003cp\u003e With its unique focus on the effective analysis of these increasingly popular data sources, \u003ci\u003eTaming the Big Data Tidal Wave\u003c\/i\u003e shows you step by step how to design, incorporate, and profit from a world-class advanced analytics ecosystem in today’s big data environment. Author and analytics expert Bill Franks shares his “from the trenches” perspective to show you how big data is changing the world of analytics. He maps out an easy-to-follow action plan to help your organization uncover new business opportunities, implement new business processes, and make better-informed decisions. \u003c\/p\u003e\u003cp\u003e This user-friendly handbook explores a number of big data concepts and how they can be applied to improve your organization’s analytics, including:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWhat is big data, why is it important, and what are its benefits?\u003c\/li\u003e\n\u003cli\u003eTen big data sources that can change your business, including web data, sensor data, text data, and others\u003c\/li\u003e\n\u003cli\u003eTechnologies, processes, and methods required to tame big data\u003c\/li\u003e\n\u003cli\u003eThe convergence of the analytic and data environments\u003c\/li\u003e\n\u003cli\u003eThe evolution of visual point and click interfaces, analytic point solutions, open source tools, and data visualization tools\u003c\/li\u003e\n\u003cli\u003eModern analytic approaches such as ensemble modeling, commodity models, and text analysis\u003c\/li\u003e\n\u003cli\u003eWhat makes a great analysis, a great analytic professional, and a great analytics team? \u003c\/li\u003e\n\u003cli\u003eEnabling analytic innovation through an analytic innovation center\u003c\/li\u003e\n\u003cli\u003eHow to create a culture of innovation and discovery in your organization\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e To stay ahead of the pack, you need to tackle big data today. Discover everything you need to know to improve productivity, create value, stay competitive, spot new business trends, and generate exciting analytics with \u003ci\u003eTaming the Big Data Tidal Wave\u003c\/i\u003e.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47990132048101,"sku":"NP9781118208786","price":49.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118208786.jpg?v=1761786626","url":"https:\/\/k12savings.com\/es\/products\/taming-the-big-data-tidal-wave-isbn-9781118208786","provider":"K12savings","version":"1.0","type":"link"}