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Think Bigger: Developing a Successful Big Data Strategy for Your Business - Mark van Rijmenam

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      Présentation Think Bigger: Developing A Successful Big Data Strategy For Your Business de Mark van Rijmenam Format Relié

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      Livre - Mark Van Rijmenam - 01/04/2014 - Relié - Langue : Anglais

      . .

    • Auteur(s) : Mark van Rijmenam
    • Editeur : Harpercollins Leadership
    • Langue : Anglais
    • Parution : 01/04/2014
    • Format : Moyen, de 350g à 1kg
    • Nombre de pages : 288
    • Expédition : 568
    • Dimensions : 23.6 x 15.9 x 3.0
    • ISBN : 0814434150



    • Résumé :

      Big data--the enormous amount of data that is created as virtually every movement, transaction, and choice we make becomes digitized--is revolutionizing business. Offering real-world insight and explanations, this book provides a roadmap for organizations looking to develop a profitable big data strategy...and reveals why it's not something they can leave to the I.T. department.

      Sharing best practices from companies that have implemented a big data strategy including Walmart, InterContinental Hotel Group, Walt Disney, and Shell, Think Bigger covers the most important big data trends affecting organizations, as well as key technologies like Hadoop and MapReduce, and several crucial types of analyses. In addition, the book offers guidance on how to ensure security, and respect the privacy rights of consumers. It also examines in detail how big data is impacting specific industries--and where opportunities can be found.

      Big data is changing the way businesses--and even governments--are operated and managed. Think Bigger is an essential resource for anyone who wants to ensure that their company isn't left in the dust.

      Biographie:

      MARK VAN RIJMENAM is founder of the leading big data knowledge platform, Big Data Startups. He is a public speaker and a sought-after strategist who advises major organizations on how to develop their own customized big data strategies

      Sommaire:

      Contents

      1 The History of Big Data 1

      The Twentieth Century 1

      The Twenty-First Century 2

      2 What Is Big Data? 5

      Explanation of the 7Vs 5

      Eight Realities of Big Data You Should Already Know 12

      The Impact of Big Data on Society 19

      Takeaways 21

      3 Big Data Trends 23

      On-the-Go Big Data 25

      Big Real-Time Data 31

      The Internet of Things 36

      The Quantified-Self 43

      Big Social Data 46

      Public Big Data 50

      Gamification 53

      Takeaways 57

      4 Big Data Technologies 58

      Hadoop HDFS and MapReduce 59

      Open-Source Tools 60

      viii Contents

      Big Data Tools and Types of Analysis 62

      Takeaways 70

      5 Big Data Privacy, Ethics, and Security 71

      Big Data Privacy 73

      Big Data Ethics 80

      Big Data Security 84

      Takeaways 91

      6 Big Data in Your Organization 93

      Key Characteristics of Information-Centric

      Organizations 96

      Some Generic Big Data Uses 98

      Big Data and Return on Investment (ROI) 104

      Big Data on the Balance Sheet 106

      Internal Big Data Opportunities 107

      Big Data Roadmap 123

      Big Data Competencies Required 127

      Small and Medium Enterprises (SMEs) Can Achieve

      Remarkable Results with Big Data 141

      Governance for the Accuracy of Big Data 143

      Takeaways 147

      7 Big Data by Industry 149

      Agriculture Industry 149

      Automotive Industry 153

      Consumer Goods 157

      Education Industry 161

      Energy Industry 165

      Financial Services Industry 169

      Gaming Industry 174

      Healthcare Industry 178

      Legal Profession 183

      Manufacturing Industry 185

      Not-for-Profit Sector 189

      Media and Entertainment Industry 194

      Oil and Gas Industry 198

      Contents ix

      Public Sector 201

      Retail Industry 207

      Telecom Industry 211

      Transportation Industry 216

      Travel and Leisure Industry 220

      Takeaways 223

      8 The Future of Big Data 225

      Glossary 233

      Notes 241

      Index 265

      About the Author 278

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