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Hadoop in Practice by Alex Holmes

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Chapter 4. Applying MapReduce patterns to big data

 

This chapter covers
  • Learning how to join data with map-side and reduce-side joins
  • Understanding how a secondary sort works
  • Discovering how partitioning works and how to globally sort data

 

With your data safely in HDFS, it’s time to learn how to work with that data in MapReduce. Previous chapters showed you some MapReduce snippets in action when working with data serialization. In this chapter we’ll look at how to work effectively with big data in MapReduce to solve common problems.

 

Mapreduce Basics

If you want to understand the mechanics of MapReduce and how to write basic MapReduce ...

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