Taming the Big Data Tidal Wave : Finding Opportunities in Huge Data Streams with Advanced Analytics /

• Κύριος συγγραφέας: Franks, Bill, 1968-
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Hoboken, New Jersey : John Wiley & Sons, Inc., [2012]
• Σειρά: Wiley and SAS business series.
• Θέματα: Data mining.; Database searching.; BUSINESS & ECONOMICS > General.; COMPUTERS > Database Management > Data Mining.; Electronic books.

"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...

Πίνακας περιεχομένων:

• 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.
• 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.
• 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.
• 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.
• 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?