Part 4. Beyond MapReduce

This part of the book is dedicated to examining languages, tools, and processes that make it easier to do your work with Hadoop.

Chapter 9 dives into Hive, a SQL-like domain-specific language that’s one of the most accessible interfaces for working with data in Hadoop. Impala and Spark SQL are also shown as alternative SQL-processing systems on Hadoop; they provide some compelling features, such as increased performance over Hive and the ability to intermix SQL with Spark.

Chapter 10, the final chapter, shows you how to write a basic YARN application, and goes on to look at key features that will be important for your YARN applications.