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

Franks, Bill

44,39 €(IVA inc.)

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€a.As you drive to the store tobuy 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€a.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€a.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€a.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 advancedanalytics. Well, you can now add this book to the discussion.What is real andwhat 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 therehas been a lot of hype over the past few years, the reality is that we are ina 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 verypowerful 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 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, andprocesses. 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.Taming the Big Data Tidal Wave 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! INDICE: ForewordPrefaceAcknowledgmentsPart One The Rise of Big DataChapter1 What Is Big Data and Why Does It Matter?What Is Big Data€?Is the Big€ Part or the Data€ Part More Important?How Is Big Data Different?How Is Big Data More of the Same?Risks of Big DataWhy You Need to Tame Big DataThe Structure of Big DataExploring Big DataMost Big Data Doesn't MatterFiltering Big Data EffectivelyMixing Big Data with Traditional DataThe Need for StandardsToday's BigData Is Not Tomorrow's Big DataWrap UpNotesChapter 2 Web Data: The Original Big DataWeb Data OverviewWhat Web Data RevealsWeb Data in ActionWrap UpNoteChapter 3 A Cross-Section of Big Data SourcesAuto Insurance: Telematics DataMultiple Industries: Text DataMultiple Industries: Time and Location DataRetail and Manufacturing: Radio Frequency Identification DataUtilities: Smart Grid DataGaming: Casino Chip Tracking DataIndustrial Engines and Equipment: Sensor DataVideo Games: Telemetry DataTelecommunications and Other Industries: Social Network DataWrap UpPart Two Taming Big Data: The Technologies, Processes, and MethodsChapter 4 Evolution of Analytic ScalabilityA History of ScalabilityConvergence of the Analytic and Data EnvironmentsMassively Parallel Processing SystemsCloud ComputingGrid ComputingMapReduceIt Isn't an Either / Or Choice!Wrap UpNotesChapter 5 The Evolution of Analytic ProcessesThe Analytic SandboxWhat Is an Analytic Data Set?Enterprise Analytic Data SetsEmbedded ScoringWrap UpChapter 6 Evolution of Analytic Tools and MethodsEvolution of Analytic ToolsEvolution of Analytic MethodsWrap-UpNotesPart Three Taming Big Data: The People and ApproachesChapter 7 What Makes a Great Analysis?Analysis versus ReportingAnalysis:Make It G.R.E.A.T.€!Core€ Analytics versus Advanced€ AnalyticsListen to Your AnalysisFraming the Problem CorrectlyStatistical Significance versus Business ImportanceSamples versus PopulationsMaking Inferences versus Computing StatisticsWrap UpChapter 8 What Makes a Great Analyst?The Common MisconceptionsEvery Great Analyst Is an ExceptionThe Often Underrated Traits of a Great AnalystIs Analytics Certification Needed or Is It Noise?Wrap UpChapter 9 What Makes aGreat Analytics Team?All Industries Are Not Created EqualJust Get Started!There's a Talent Crunch Out ThereTeam StructuresKeeping a Great Team€™s Skills UpShould Non-Analysts Be Doing Advanced Analytics?Why Can't IT and Analysts Get Along?Wrap UpNotesPart Four Bringing It Together: The Analytics CultureChapter10 Enabling Analytic InnovationBusinesses Need More InnovationTraditional Approaches Hamper InnovationDefining Analytic InnovationIterative Approaches to Analytic InnovationConsider a Change in PerspectiveAre You Ready for an Analytic Innovation Center?Wrap UpNoteChapter 11 Creating a Culture of Innovation andDiscoverySetting the StageOverview of the Key PrinciplesWrap UpNotesConclusion: Think Bigger!About the AuthorIndex

  • ISBN: 978-1-118-20878-6
  • Editorial: John Wiley & Sons
  • Encuadernacion: Cartoné
  • Páginas: 336
  • Fecha Publicación: 09/05/2012
  • Nº Volúmenes: 1
  • Idioma: Inglés