In this video, I will show you how to perform distributed processing using MapReduce framework on the Hortonworks Sandbox VM. I will walk you through a Vote count example, where the goal is to count the number of votes that each candidate got in different polling booths.

We will start by creating a jar file using Eclipse, which contains the mapper and reducer program. Then, I will demonstrate how to create and run the jar file in the Hortonworks Sandbox VM to process the large dataset in a distributed manner using MapReduce.

You will learn how to set up the Hadoop environment in the Hortonworks Sandbox VM, configure the input and output directories for MapReduce job, and monitor the progress of the job.

This tutorial is suitable for beginners who want to learn about distributed processing using MapReduce and gain hands-on experience with the Hortonworks Sandbox VM. Follow along and see how easy it is to perform distributed processing with Hadoop and MapReduce.

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