The go-to guidebook for deploying Big Data solutions with Hadoop Today’s enterprise architects need to understand how the Hadoop frameworks and APIs fit together, and how they can be integrated to deliver real-world solutions. This book is a practical, detailed guide to building and implementing those solutions, with code-level instruction in the popular Wrox tradition. It covers storing data with HDFS and Hbase, processing data with MapReduce, and automating data processing with Oozie.
Table of Contents
Chapter 1. Big Data and the Hadoop Ecosystem Chapter 2. Storing Data in Hadoop Chapter 3. Processing Your Data with MapReduce Chapter 4. Customizing MapReduce Execution Chapter 5. Building Reliable MapReduce Apps Chapter 6. Automating Data Processing with Oozie Chapter 7. Using Oozie Chapter 8. Advanced Oozie Features Chapter 9. Real-Time Hadoop Chapter 10. Hadoop Security Chapter 11. Running Hadoop Applications on AWS Chapter 12. Building Enterprise Security Solutions for Hadoop Implementations Chapter 13. Hadoop’s Future
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