A complete implementation of the Hadoop MapReduce word count pipeline with Mapper, Reducer, Combiner, and custom Partitioner — runnable locally in Python with the original Java source as reference.

This project is a simple demonstration of running a Word Count job on Hadoop using Java and Maven. It is deployed on a Dockerized Hadoop cluster so you can spin it up quickly and try it out yourself.

When your data and work grow, and you still want to produce results in a timely manner, you start to think big. Your one beefy server reaches its limits. You need a way to spread your work across many ...