How does Hadoop's Map Reduce work?

Hadoop A software architecture called MapReduce is used to process huge data sets. It is the primary part of the Hadoop system for processing data. It separates the incoming data into different components and executes a program on each piece of data in parallel. The terms "MapReduce" refer to two distinct jobs. The first is the map operation, which turns a set of data into a varied collection of data in which individual components are separated into tuples. The key-based data tuples are combined via the reduced operation, which also changes the key's value.