Hadoop for Dummies
Description
Table of Contents
Introduction
Part I: Getting Started with Hadoop
Chapter 1: Introducing Hadoop and Seeing What It's Good For
Chapter 2: Common Use Cases for Big Data in Hadoop
Chapter 3: Setting Up Your Hadoop Environment
Part II: How Hadoop Works
Chapter 4: Storing Data in Hadoop: The Hadoop Distributed File System
Chapter 5: Reading and Writing Data
Chapter 6: MapReduce Programming
Chapter 7: Frameworks for Processing Data in Hadoop: YARN and MapReduce
Chapter 8: Pig: Hadoop Programming Made Easier
Chapter 9: Statistical Analysis in Hadoop
Chapter 10: Developing and Scheduling Application Workflows with Oozie
Part III: Hadoop and Structured Data
Chapter 11: Hadoop and the Data Warehouse: Friends or Foes?
Chapter 12: Extremely Big Tables: Storing Data in HBase
Chapter 13: Applying Structure to Hadoop Data with Hive
Chapter 14: Integrating Hadoop with Relational Databases Using Sqoop
Chapter 15: The Holy Grail: Native SQL Access to Hadoop Data
Part IV: Administering and Configuring Hadoop
Chapter 16: Deploying Hadoop
Chapter 17: Administering Your Hadoop Cluster
Part V: The Part of Tens
Chapter 18: Ten Hadoop Resources Worthy of a Bookmark
Chapter 19: Ten Reasons to Adopt Hadoop
Index