Describe the main elements of Hadoop

An open-source framework called Hadoop is designed to store and handle large amounts of data in a distributed fashion.

The Key Elements of Hadoop

Hadoop's main storage system is HDFS (Hadoop Distributed File System): The vast amount of data is kept on HDFS. It was primarily designed for storing enormous datasets on inexpensive technology.

Hadoop Map Reduce: Hadoop's MapReduce layer is in charge of handling data processing. It submits a request for the processing of already-stored structured and unstructured data in HDFS. By dividing up the data into separate jobs, it is responsible for the parallel processing of a large amount of data. Map and Reduce are the two phases of processing. A map is a stage where data blocks are read and created, to put it simply.

YARN: YARN is the processing framework used by Hadoop. YARN manages resources and offers a variety of data processing engines, including real-time streaming, data science, and batch processing.