MapReduce is a framework that programmers today can use to write applications that are able to process massive quantities of data using a modern distributed data processing approach. This processing approach is very popular among organizations today. As it allows the processing of data in parallel on large commodity hardware clusters, using MapReduce can significantly speed up data processing. In this post, we will take a look at how to execute MapReduce over data stored in Redis using Redisson.

What Is MapReduce?

MapReduce is a program model for distributed computing that could be implemented in Java. The algorithm contains two key tasks, which are known as Map and Reduce.

Source: DZone