Let Hadoop For Dummies help harness the power of your data and rein in the information overload Big data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed. Let Hadoop For Dummies help harness the power of your data and rein in the information overload Big data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed. 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