Big Data Analytics: Turning Big Data into Big Money	5
	Copyright	6
	Contents	7
	Preface	11
	Acknowledgments	15
	Chapter 1: What Is Big Data?	17
	The Arrival of Analytics	18
	Where Is the Value?	19
	More to Big Data Than Meets the Eye	21
	Dealing with the Nuances of Big Data	22
	An Open Source Brings Forth Tools	23
	Caution: Obstacles Ahead	24
	Chapter 2: Why Big Data Matters	27
	Big Data Reaches Deep	28
	Obstacles Remain	29
	Data Continue to Evolve	31
	Data and Data Analysis Are Getting More Complex	33
	The Future Is Now	34
	Chapter 3: Big Data and the Business Case	37
	Realizing Value	38
	The Case for Big Data	38
	The Rise of Big Data Options	41
	Beyond Hadoop	43
	With Choice Come Decisions	44
	Chapter 4: Building the Big Data Team	45
	The Data Scientist	45
	The Team Challenge	46
	Different Teams, Different Goals	47
	Don't Forget the Data	48
	Challenges Remain	48
	Teams versus Culture	50
	Gauging Success	51
	Chapter 5: Big Data Sources	53
	Hunting for Data	54
	Setting the Goal	55
	Big Data Sources Growing	56
	Diving Deeper into Big Data Sources	58
	A Wealth of Public Information	59
	Getting Started with Big Data Acquisition	60
	Ongoing Growth, No End in Sight	62
	Chapter 6: The Nuts and Bolts of Big Data	63
	The Storage Dilemma	63
	Building a Platform	68
	Bringing Structure to Unstructured Data	73
	Processing Power	75
	Choosing among In-house, Outsourced, or Hybrid Approaches	77
	Chapter 7: Security, Compliance, Auditing, and Protection	79
	Pragmatic Steps to Securing Big Data	80
	Classifying Data	81
	Protecting Big Data Analytics	82
	Big Data and Compliance	83
	The Intellectual Property Challenge	88
	Chapter 8: The Evolution of Big Data	93
	Big Data: The Modern Era	96
	Today, Tomorrow, and the Next Day	100
	Changing Algorithms	106
	Chapter 9: Best Practices for Big Data Analytics	109
	Start Small with Big Data	110
	Thinking Big	111
	Avoiding Worst Practices	112
	Baby Steps	114
	The Value of Anomalies	117
	Expediency versus Accuracy	119
	In-Memory Processing	120
	Chapter 10: Bringing It All Together	127
	The Path to Big Data	128
	The Realities of Thinking Big Data	129
	Hands-on Big Data	131
	The Big Data Pipeline in Depth	132
	Big Data Visualization	137
	Big Data Privacy	138
	Appendix: Supporting Data	141
	"The MapR Distribution for Apache Hadoop"	142
	"High Availability: No Single Points of Failure"	158
	About the Author	167
	Index	169