Too Big to Ignore by Simon, Phil -- Read -- Imperial Library of Trantor

Index

Cover Praise Wiley & SAS Business Series Title Page Copyright Other Books by Phil Simon Epigraph List of Tables and Figures Acknowledgments Preface

NOTES

Introduction: This Ain’t Your Father’s Data

BETTER CAR INSURANCE THROUGH DATA POTHOLES AND GENERAL ROAD HAZARDS RECRUITING AND RETENTION HOW BIG IS BIG? THE SIZE OF BIG DATA Why Now? Explaining the Big Data Revolution CENTRAL THESIS OF BOOK PLAN OF ATTACK WHO SHOULD READ THIS BOOK? SUMMARY NOTES

Chapter 1: Data 101 and the Data Deluge

THE BEGINNINGS: STRUCTURED DATA STRUCTURE THIS! WEB 2.0 AND THE ARRIVAL OF BIG DATA THE COMPOSITION OF DATA: THEN AND NOW THE CURRENT STATE OF THE DATA UNION THE ENTERPRISE AND THE BRAVE NEW BIG DATA WORLD SUMMARY NOTES

Chapter 2: Demystifying Big Data

CHARACTERISTICS OF BIG DATA THE ANTI-DEFINITION: WHAT BIG DATA IS NOT SUMMARY NOTES

Chapter 3: The Elements of Persuasion: Big Data Techniques

THE BIG OVERVIEW STATISTICAL TECHNIQUES AND METHODS DATA VISUALIZATION AUTOMATION SEMANTICS BIG DATA AND THE GANG OF FOUR PREDICTIVE ANALYTICS LIMITATIONS OF BIG DATA SUMMARY NOTES

Chapter 4: Big Data Solutions

PROJECTS, APPLICATIONS, AND PLATFORMS OTHER DATA STORAGE SOLUTIONS WEBSITES, START-UPS, AND WEB SERVICES HARDWARE CONSIDERATIONS THE ART AND SCIENCE OF PREDICTIVE ANALYTICS SUMMARY NOTES

Chapter 5: Case Studies: The Big Rewards of Big Data

QUANTCAST: A SMALL BIG DATA COMPANY EXPLORYS: THE HUMAN CASE FOR BIG DATA NASA: HOW CONTESTS, GAMIFICATION, AND OPEN INNOVATION ENABLE BIG DATA SUMMARY NOTES

Chapter 6: Taking the Big Plunge

BEFORE STARTING STARTING THE JOURNEY AVOIDING THE BIG PITFALLS SUMMARY NOTES

Chapter 7: Big Data: Big Issues and Big Problems

PRIVACY: BIG DATA = BIG BROTHER? BIG SECURITY CONCERNS BIG, PRAGMATIC ISSUES SUMMARY NOTES

Chapter 8: Looking Forward: The Future of Big Data

PREDICTING PREGNANCY BIG DATA IS HERE TO STAY BIG DATA WILL EVOLVE PROJECTS AND MOVEMENTS BIG DATA WILL ONLY GET BIGGER…AND SMARTER THE INTERNET OF THINGS: THE MOVE FROM ACTIVE TO PASSIVE DATA GENERATION BIG DATA: NO LONGER A BIG LUXURY STASIS IS NOT AN OPTION SUMMARY NOTES

Final Thoughts

SPREADING THE BIG DATA GOSPEL NOTES

Selected Bibliography About the Author Index