Big Data Analytics – Turning Big Data into Big Money

<p>Preface ix</p>
<p>Acknowledgments xiii</p>
<p>Chapter 1 What Is Big Data? 1</p>
<p>The Arrival of Analytics 2</p>
<p>Where Is the Value? 3</p>
<p>More to Big Data Than Meets the Eye 5</p>
<p>Dealing with the Nuances of Big Data 6</p>
<p>An Open Source Brings Forth Tools 7</p>
<p>Caution: Obstacles Ahead 8</p>
<p>Chapter 2 Why Big Data Matters 11</p>
<p>Big Data Reaches Deep 12</p>
<p>Obstacles Remain 13</p>
<p>Data Continue to Evolve 15</p>
<p>Data and Data Analysis Are Getting More Complex 17</p>
<p>The Future Is Now 18</p>
<p>Chapter 3 Big Data and the Business Case 21</p>
<p>Realizing Value 22</p>
<p>The Case for Big Data 22</p>
<p>The Rise of Big Data Options 25</p>
<p>Beyond Hadoop 27</p>
<p>With Choice Come Decisions 28</p>
<p>Chapter 4 Building the Big Data Team 29</p>
<p>The Data Scientist 29</p>
<p>The Team Challenge 30</p>
<p>Different Teams, Different Goals 31</p>
<p>Don t Forget the Data 32</p>
<p>Challenges Remain 32</p>
<p>Teams versus Culture 34</p>
<p>Gauging Success 35</p>
<p>Chapter 5 Big Data Sources 37</p>
<p>Hunting for Data 38</p>
<p>Setting the Goal 39</p>
<p>Big Data Sources Growing 40</p>
<p>Diving Deeper into Big Data Sources 42</p>
<p>A Wealth of Public Information 43</p>
<p>Getting Started with Big Data Acquisition 44</p>
<p>Ongoing Growth, No End in Sight 46</p>
<p>Chapter 6 The Nuts and Bolts of Big Data 47</p>
<p>The Storage Dilemma 47</p>
<p>Building a Platform 52</p>
<p>Bringing Structure to Unstructured Data 57</p>
<p>Processing Power 59</p>
<p>Choosing among In–house, Outsourced, or Hybrid Approaches 61</p>
<p>Chapter 7 Security, Compliance, Auditing, and Protection 63</p>
<p>Pragmatic Steps to Securing Big Data 64</p>
<p>Classifying Data 65</p>
<p>Protecting Big Data Analytics 66</p>
<p>Big Data and Compliance 67</p>
<p>The Intellectual Property Challenge 72</p>
<p>Chapter 8 The Evolution of Big Data 77</p>
<p>Big Data: The Modern Era 80</p>
<p>Today, Tomorrow, and the Next Day 84</p>
<p>Changing Algorithms 90</p>
<p>Chapter 9 Best Practices for Big Data Analytics 93</p>
<p>Start Small with Big Data 94</p>
<p>Thinking Big 95</p>
<p>Avoiding Worst Practices 96</p>
<p>Baby Steps 98</p>
<p>The Value of Anomalies 101</p>
<p>Expediency versus Accuracy 103</p>
<p>In–Memory Processing 104</p>
<p>Chapter 10 Bringing It All Together 111</p>
<p>The Path to Big Data 112</p>
<p>The Realities of Thinking Big Data 113</p>
<p>Hands–on Big Data 115</p>
<p>The Big Data Pipeline in Depth 116</p>
<p>Big Data Visualization 121</p>
<p>Big Data Privacy 122</p>
<p>Appendix Supporting Data 125</p>
<p> The MapR Distribution for Apache Hadoop 126</p>
<p> High Availability: No Single Points of Failure 142</p>
<p>About the Author 151</p>
<p>Index 153</p>