September 2014
Intermediate to advanced
512 pages
13h 54m
English
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.