{"product_id":"too-big-to-ignore-isbn-9781119217848","title":"Too Big to Ignore","description":"\u003cp\u003eResidents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior.\u003cbr\u003e\u003cbr\u003eHow do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eIt's time to start thinking big.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eIn \u003ci\u003eToo Big to Ignore\u003c\/i\u003e, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate.\u003cbr\u003e\u003cbr\u003e\u003ci\u003eToo Big to Ignore\u003c\/i\u003e explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.\u003c\/p\u003e List of Tables and Figures xv \u003cp\u003ePreface xvii\u003c\/p\u003e \u003cp\u003eAcknowledgments xxiii\u003c\/p\u003e \u003cp\u003eIntroduction This Ain't Your Father's Data 1\u003c\/p\u003e \u003cp\u003eBetter Car Insurance through Data 2\u003c\/p\u003e \u003cp\u003ePotholes and General Road Hazards 5\u003c\/p\u003e \u003cp\u003eRecruiting and Retention 8\u003c\/p\u003e \u003cp\u003eHow Big is Big? The Size of Big Data 10\u003c\/p\u003e \u003cp\u003eWhy Now? Explaining the Big Data Revolution 12\u003c\/p\u003e \u003cp\u003eCentral Thesis of Book 22\u003c\/p\u003e \u003cp\u003ePlan of Attack 24\u003c\/p\u003e \u003cp\u003eWho Should Read This Book? 25\u003c\/p\u003e \u003cp\u003eSummary 25\u003c\/p\u003e \u003cp\u003eNotes 26\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Data 101 and the Data Deluge 29\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Beginnings: Structured Data 30\u003c\/p\u003e \u003cp\u003eStructure This! Web 2.0 and the Arrival of Big Data 33\u003c\/p\u003e \u003cp\u003eThe Composition of Data: Then and Now 39\u003c\/p\u003e \u003cp\u003eThe Current State of the Data Union 41\u003c\/p\u003e \u003cp\u003eThe Enterprise and the Brave New Big Data World 43\u003c\/p\u003e \u003cp\u003eSummary 46\u003c\/p\u003e \u003cp\u003eNotes 47\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Demystifying Big Data 49\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCharacteristics of Big Data 50\u003c\/p\u003e \u003cp\u003eThe Anti-Definition: What Big Data Is Not 71\u003c\/p\u003e \u003cp\u003eSummary 72\u003c\/p\u003e \u003cp\u003eNotes 72\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 The Elements of Persuasion: Big Data Techniques 77\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Big Overview 79\u003c\/p\u003e \u003cp\u003eStatistical Techniques and Methods 80\u003c\/p\u003e \u003cp\u003eData Visualization 84\u003c\/p\u003e \u003cp\u003eAutomation 88\u003c\/p\u003e \u003cp\u003eSemantics 93\u003c\/p\u003e \u003cp\u003eBig Data and the Gang of Four 98\u003c\/p\u003e \u003cp\u003ePredictive Analytics 100\u003c\/p\u003e \u003cp\u003eLimitations of Big Data 105\u003c\/p\u003e \u003cp\u003eSummary 106\u003c\/p\u003e \u003cp\u003eNotes 107\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Big Data Solutions 111\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eProjects, Applications, and Platforms 114\u003c\/p\u003e \u003cp\u003eOther Data Storage Solutions 121\u003c\/p\u003e \u003cp\u003eWebsites, Start-ups, and Web Services 128\u003c\/p\u003e \u003cp\u003eHardware Considerations 133\u003c\/p\u003e \u003cp\u003eThe Art and Science of Predictive Analytics 136\u003c\/p\u003e \u003cp\u003eSummary 137\u003c\/p\u003e \u003cp\u003eNotes 137\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Case Studies: The Big Rewards of Big Data 141\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eQuantcast: A Small Big Data Company 141\u003c\/p\u003e \u003cp\u003eExplorys: The Human Case for Big Data 147\u003c\/p\u003e \u003cp\u003eNASA: How Contests, Gamification, and Open Innovation\u003c\/p\u003e \u003cp\u003eEnable Big Data 152\u003c\/p\u003e \u003cp\u003eSummary 158\u003c\/p\u003e \u003cp\u003eNotes 158\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Taking the Big Plunge 161\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBefore Starting 161\u003c\/p\u003e \u003cp\u003eStarting the Journey 165\u003c\/p\u003e \u003cp\u003eAvoiding the Big Pitfalls 174\u003c\/p\u003e \u003cp\u003eSummary 181\u003c\/p\u003e \u003cp\u003eNotes 181\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Big Data: Big Issues and Big Problems 183\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePrivacy: Big Data = Big Brother? 184\u003c\/p\u003e \u003cp\u003eBig Security Concerns 188\u003c\/p\u003e \u003cp\u003eBig, Pragmatic Issues 189\u003c\/p\u003e \u003cp\u003eSummary 195\u003c\/p\u003e \u003cp\u003eNotes 196\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Looking Forward: The Future of Big Data 197\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePredicting Pregnancy 198\u003c\/p\u003e \u003cp\u003eBig Data Is Here to Stay 200\u003c\/p\u003e \u003cp\u003eBig Data Will Evolve 201\u003c\/p\u003e \u003cp\u003eProjects and Movements 203\u003c\/p\u003e \u003cp\u003eBig Data Will Only Get Bigger…and Smarter 205\u003c\/p\u003e \u003cp\u003eThe Internet of Things: The Move from Active to Passive Data\u003c\/p\u003e \u003cp\u003eGeneration 206\u003c\/p\u003e \u003cp\u003eBig Data: No Longer a Big Luxury 211\u003c\/p\u003e \u003cp\u003eStasis Is Not an Option 212\u003c\/p\u003e \u003cp\u003eSummary 213\u003c\/p\u003e \u003cp\u003eNotes 214\u003c\/p\u003e \u003cp\u003e\u003cb\u003eFinal Thoughts 217\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSpreading the Big Data Gospel 219\u003c\/p\u003e \u003cp\u003eNotes 220\u003c\/p\u003e \u003cp\u003eSelected Bibliography 221\u003c\/p\u003e \u003cp\u003eAbout the Author 223\u003c\/p\u003e \u003cp\u003eIndex 225\u003c\/p\u003e  \u003cp\u003e\u003cb\u003ePHIL SIMON\u003c\/b\u003e is a frequent keynote speaker, a recognized technology authority, and the award-winning author of seven management books. His contributions have been featured in \u003ci\u003eThe Harvard Business Review\u003c\/i\u003e, \u003ci\u003eWired\u003c\/i\u003e, \u003ci\u003eBusinessWeek\u003c\/i\u003e, \u003ci\u003eThe Huffington Post\u003c\/i\u003e, and \u003ci\u003eThe New York Times\u003c\/i\u003e, and on CNN, NBC, and CNBC.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003etoo BIG to IGNORE\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eTHE BUSINESS CASE FOR BIG DATA\t \u003c\/p\u003e\u003cp\u003eResidents in Boston, Massachusetts automatically report potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer personalized rates. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its 300 million customers. Quantcast lets companies target precise audiences and key demographics over the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. \u003c\/p\u003e\u003cp\u003eHow do these organizations and municipalities do it? In short, via an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eToo Big to Ignore\u003c\/i\u003e, tech expert and award-winning author Phil Simon provides commonsense, jargon-free advice for people and organizations looking to understand and act on Big Data. Rife with case studies, examples, analysis, and quotes from real-world practitioners, you'll learn why Big Data is a big deal.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47990394847461,"sku":"NP9781119217848","price":24.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119217848.jpg?v=1761787652","url":"https:\/\/k12savings.com\/es\/products\/too-big-to-ignore-isbn-9781119217848","provider":"K12savings","version":"1.0","type":"link"}