Chapter 5. MapReduce Details for Multimachine Clusters
Organizations run Hadoop Core to provide MapReduce services for their processing needs. They may have datasets that can't fit on a single machine, have time constraints that are impossible to satisfy with a small number of machines, or need to rapidly scale the computing power applied to a problem due to varying input set sizes. You will have your own unique reasons for running MapReduce applications.
To do your job effectively, you need to understand all of the moving parts of a MapReduce cluster and of the Hadoop Core MapReduce framework. This chapter will raise the hood and show you some schematics of the engine. This chapter will also provide examples that you can use as the basis for your ...
Get Pro Hadoop now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
