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210123 ||| eng |
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|a 1119204275
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|a QA76.9.D343
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|a Franks, Bill
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|a Taming the Big Data Tidal Wave
|b Finding Opportunities in Huge Data Streams with Advanced Analytics
|c Bill Franks
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| 260 |
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|a Hoboken, New Jersey
|b John Wiley & Sons, Inc.
|c 2012
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| 300 |
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|a xxv, 304 pages
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|a Includes bibliographical references and index
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|a CHAPTER 2: Web Data: The Original Big DataWEB DATA OVERVIEW; WHAT WEB DATA REVEALS; WEB DATA IN ACTION; WRAP-UP; NOTE; CHAPTER 3: A Cross-Section of Big Data Sources and the Value They Hold; AUTO INSURANCE: THE VALUE OF TELEMATICS DATA; MULTIPLE INDUSTRIES: THE VALUE OF TEXT DATA; MULTIPLE INDUSTRIES: THE VALUE OF TIME AND LOCATION DATA; RETAIL AND MANUFACTURING: THE VALUE OF RADIO FREQUENCY IDENTIFICATION DATA; UTILITIES: THE VALUE OF SMART-GRID DATA; GAMING: THE VALUE OF CASINO CHIP TRACKING DATA; INDUSTRIAL ENGINES AND EQUIPMENT: THE VALUE OF SENSOR DATA.
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|a VIDEO GAMES: THE VALUE OF TELEMETRY DATATELECOMMUNICATIONS AND OTHER INDUSTRIES: THE VALUE OF SOCIAL NETWORK DATA; WRAP-UP; PART TWO: Taming Big Data: The Technologies, Processes, and Methods; CHAPTER 4: The Evolution of Analytic Scalability; A HISTORY OF SCALABILITY; THE CONVERGENCE OF THE ANALYTIC AND DATA ENVIRONMENTS; MASSIVELY PARALLEL PROCESSING SYSTEMS; CLOUD COMPUTING; GRID COMPUTING; MAPREDUCE; IT ISN'T AN EITHER/OR CHOICE!; WRAP-UP; NOTES; CHAPTER 5: The Evolution of Analytic Processes; THE ANALYTIC SANDBOX; WHAT IS AN ANALYTIC DATA SET?; ENTERPRISE ANALYTIC DATA SETS.
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|a EMBEDDED SCORINGWRAP-UP; CHAPTER 6: The Evolution of Analytic Tools and Methods; THE EVOLUTION OF ANALYTIC METHODS; THE EVOLUTION OF ANALYTIC TOOLS; WRAP-UP; NOTES; PART THREE: Taming Big Data: The People and Approaches; CHAPTER 7: What Makes a Great Analysis?; ANALYSIS VERSUS REPORTING; ANALYSIS: MAKE IT G.R.E.A.T.!; CORE ANALYTICS VERSUS ADVANCED ANALYTICS; LISTEN TO YOUR ANALYSIS; FRAMING THE PROBLEM CORRECTLY; STATISTICAL SIGNIFICANCE VERSUS BUSINESS IMPORTANCE; SAMPLES VERSUS POPULATIONS; MAKING INFERENCES VERSUS COMPUTING STATISTICS; WRAP-UP.
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|a CHAPTER 8: What Makes a Great Analytic Professional?WHO IS THE ANALYTIC PROFESSIONAL?; THE COMMON MISCONCEPTIONS ABOUT ANALYTIC PROFESSIONALS; EVERY GREAT ANALYTIC PROFESSIONAL IS AN EXCEPTION; THE OFTEN UNDERRATED TRAITS OF A GREAT ANALYTIC PROFESSIONAL; IS ANALYTICS CERTIFICATION NEEDED, OR IS IT NOISE?; WRAP-UP; CHAPTER 9: What Makes a Great Analytics Team?; ALL INDUSTRIES ARE NOT CREATED EQUAL; JUST GET STARTED!; THERE'S A TALENT CRUNCH OUT THERE; TEAM STRUCTURES; KEEPING A GREAT TEAM'S SKILLS UP; WHO SHOULD BE DOING ADVANCED ANALYTICS?; WHY CAN'T IT AND ANALYTIC PROFESSIONALS GET ALONG?
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|a Taming the Big Data Tidal Wave; Contents; Foreword; Preface; Acknowledgments; PART ONE: The Rise of Big Data; CHAPTER 1: 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 DATA; WHY YOU NEED TO TAME BIG DATA; THE STRUCTURE OF BIG DATA; EXPLORING BIG DATA; MOST BIG DATA DOESN'T MATTER; FILTERING BIG DATA EFFECTIVELY; MIXING BIG DATA WITH TRADITIONAL DATA; THE NEED FOR STANDARDS; TODAY'S BIG DATA IS NOT TOMORROW'S BIG DATA; WRAP-UP; NOTES.
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|a Querying (Computer science) / http://id.loc.gov/authorities/subjects/sh2005008252
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|a Data mining / http://id.loc.gov/authorities/subjects/sh97002073
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|a Bases de données / Interrogation
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|a Querying (Computer science) / fast
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|a online searching / aat
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|a Database searching / fast
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|a Database searching / http://id.loc.gov/authorities/subjects/sh86007858
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|b OREILLY
|a O'Reilly
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|a Wiley & SAS business series
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|u https://learning.oreilly.com/library/view/~/9781118208786/?ar
|x Verlag
|3 Volltext
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|a "How to approach creating and evolving a world-class advanced analytics ecosystem in today's big data environment. Written in an informal style by someone who has lived analytics in big business, Taming the Big Data Tidal Wave provides a "from the trenches" viewpoint of analytics. This book shows how big data is changing the world of analytics; what people, processes, technologies, and mindsets are necessary to succeed in analytics in this new era; what trends are developing that will change how businesses do analytics as big data alters the scale of the inputs and growing requirements change the scale of the outputs; and how to think bigger in terms of what analytics can do for a business. Looks at what big data is and why it's important. Examines some of the types of big data and how can they be used to drive new, innovative analytics. Offers the tools and technologies required to tame big data. Reveals the analytic processes and methods needed to bring about change. Discusses how your organization can set itself up for successful analytic innovation. This important book reveals how analytics has evolved in the past decades and how it will continue to evolve in the coming decades. The big data tidal wave is coming. Organizations can either ride the wave to drive analytical innovation and improve their businesses, or they can get dragged under it as it crashes on top of them. This book provides a roadmap for riding the wave successfully in terms that anyone with an interest in the topic will be able to understand"--
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