What are the main components of Hadoop

Hadoop mainly consists of four components:

1. Hadoop Common: These are Java libraries and utilities required by other Hadoop modules. These libraries provide file system and OS level abstractions and contain the necessary Java files and scripts required to start Hadoop.

2. Hadoop YARN: This is a framework for job scheduling and cluster resource management. It allows multiple data processing engines such as real-time streaming and batch processing to handle data stored in a single platform.

3. Hadoop Distributed File System (HDFS): A distributed file system that provides high-throughput access to application data. It has the capability to store large amounts of data and provide access to these data across connected systems.

4. Hadoop MapReduce: This is a YARN-based system for parallel processing of large data sets. It is a software framework that allows developers to write programs that process massive amounts of unstructured data in parallel across a distributed cluster of processors or stand-alone computers.

These components together form the core of Hadoop.