Big Data For Dummies (eBook)

Judith Hurwitz is an expert in cloud computing, information management, and business strategy. Alan Nugent has extensive experience in cloud-based big data solutions. Dr. Fern Halper specializes in big data and analytics. Marcia Kaufman specializes in cloud infrastructure, information management, and analytics.

Introduction 1

Part I: Getting Started with Big Data 7

Chapter 1: Grasping the Fundamentals of Big Data 9

Chapter 2: Examining Big Data Types 25

Chapter 3: Old Meets New: Distributed Computing 37

Part II: Technology Foundations for Big Data 45

Chapter 4: Digging into Big Data Technology Components 47

Chapter 5: Virtualization and How It Supports DistributedComputing 61

Chapter 6: Examining the Cloud and Big Data 71

Part III: Big Data Management 83

Chapter 7: Operational Databases 85

Chapter 8: MapReduce Fundamentals 101

Chapter 9: Exploring the World of Hadoop 111

Chapter 10: The Hadoop Foundation and Ecosystem 121

Chapter 11: Appliances and Big Data Warehouses 129

Part IV: Analytics and Big Data 139

Chapter 12: Defi ning Big Data Analytics 141

Chapter 13: Understanding Text Analytics and Big Data 153

Chapter 14: Customized Approaches for Analysis of Big Data167

Part V: Big Data Implementation 179

Chapter 15: Integrating Data Sources 181

Chapter 16: Dealing with Real-Time Data Streams and ComplexEvent Processing 193

Chapter 17: Operationalizing Big Data 201

Chapter 18: Applying Big Data within Your Organization 211

Chapter 19: Security and Governance for Big Data Environments225

Part VI: Big Data Solutions in the Real World 235

Chapter 20: The Importance of Big Data to Business 237

Chapter 21: Analyzing Data in Motion: A Real-World View 245

Chapter 22: Improving Business Processes with Big DataAnalytics: A Real-World View 255

Part VII: The Part of Tens 263

Chapter 23: Ten Big Data Best Practices 265

Chapter 24: Ten Great Big Data Resources 271

Chapter 25: Ten Big Data Do's and Don'ts 275

Glossary 279

Index 295