Hadoop Framework mainly based on two ecosystems, They are HDFS and MapReduce. HDFS is meant for storage and MapRduce is meant for processing. As of now we have seen the storage part i.e, HDFS, now let us have a look at the processing part i.e, MapReduce.
In the Hadoop world, MapReduce is considered as one of the major component. MapReduce is responsible for the processing of huge amount of data which get stored on top of HDFS. It is also responsible for parallel processing. MapReduce achieves parallel processing by the means of splits, i.e, all the data is divided into multiple chunks and the processing will be done on each in a parallel fashion.
MapReduce is a programming model for data processing. Even if it is a programming, it is very simple. Hadoop accepts MR programs written in different languages. Mostly people use java to write MR programs.
