"Programs must be written for people to read, and only incidentally for machines to execute."
– Harold Abelson, Structure and Interpretation of Computer Programs, 1984
When Apache Hadoop was designed, it was intended for large-scale processing of humongous data, where traditional programming techniques could not be applied. This was at a time when MapReduce was considered a part of Apache Hadoop. Earlier, MapReduce was the only programming option available in Hadoop; however, with new Hadoop releases, it was enhanced with YARN. It's also called MRv2 and older MapReduce is usually referred to as MRv1. In the previous chapter, we saw how HDFS can be configured and used for various application usages. In this chapter, we will do a deep dive into MapReduce programming to learn the different facets of how you can effectively...
