Hadoop in Practice, Second Edition (2015)

Preface

Part 1. Background and fundamentals

Chapter 1. Hadoop in a heartbeat

Chapter 2. Introduction to YARN

Part 2. Data logistics

Chapter 3. Data serialization-working with text and beyond

Chapter 4. Organizing and optimizing data in HDFS

Chapter 5. Moving data into and out of Hadoop

Part 3. Big data patterns

Chapter 6. Applying MapReduce patterns to big data

Chapter 7. Utilizing data structures and algorithms at scale

Chapter 8. Tuning, debugging, and testing

Part 4. Beyond MapReduce

Chapter 9. SQL on Hadoop

Chapter 10. Writing a YARN application

Appendix. Installing Hadoop and friends