Hadoop for Dummies (Paperback)

Introduction 1

Part I: Getting Started with Hadoop 7

Chapter 1: Introducing Hadoop and Seeing What It’s Good For 9

Chapter 2: Common Use Cases for Big Data in Hadoop 23

Chapter 3: Setting Up Your Hadoop Environment 41

Part II: How Hadoop Works 51

Chapter 4: Storing Data in Hadoop: The Hadoop Distributed File System 53

Chapter 5: Reading and Writing Data 69

Chapter 6: MapReduce Programming 83

Chapter 7: Frameworks for Processing Data in Hadoop: YARN and MapReduce 103

Chapter 8: Pig: Hadoop Programming Made Easier 117

Chapter 9: Statistical Analysis in Hadoop 129

Chapter 10: Developing and Scheduling Application Workflows with Oozie 139

Part III: Hadoop and Structured Data 155

Chapter 11: Hadoop and the Data Warehouse: Friends or Foes? 157

Chapter 12: Extremely Big Tables: Storing Data in HBase 179

Chapter 13: Applying Structure to Hadoop Data with Hive 227

Chapter 14: Integrating Hadoop with Relational Databases Using Sqoop 269

Chapter 15: The Holy Grail: Native SQL Access to Hadoop Data 303

Part IV: Administering and Configuring Hadoop 313

Chapter 16: Deploying Hadoop 315

Chapter 17: Administering Your Hadoop Cluster 335

Part V: The Part of Tens 359

Chapter 18: Ten Hadoop Resources Worthy of a Bookmark 361

Chapter 19: Ten Reasons to Adopt Hadoop 371

Index 379