Hadoop for Dummies

Description

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