Hadoop is a distributed file system that lets you store and handle massive amounts of data on a cloud of machines, handling data redundancy.
The primary benefit of this is that since data is stored in several nodes, it is better to process it in a distributed manner. Each node can process the data stored on it instead of spending time moving the data over the network.
On the contrary, in the relational database computing system, we can query data in real-time, but it is not efficient to store data in tables, records, and columns when the data is huge.
Hadoop also provides a scheme to build a column database with Hadoop HBase for runtime queries on rows.
Listed below are the main components of Hadoop :
* HDFS : HDFS or Hadoop Distributed File System is Hadoop’s storage unit.
* MapReduce : MapReduce the Hadoop’s processing unit.
* YARN : YARN is the resource management unit of Apache Hadoop.
