In order to overcome the concerns of the complexity of gathering and storing the data led to the invention of HADOOP.
Also Read: Hadoop Tutorial
This platform can store and distribute large file data into hundreds of servers that operate in parallel. It enables the business to run applications on thousands of nodes involving thousands of terabytes of data.
It utilizes a capacity technique known as the disseminated record framework, which fundamentally executes a mapping framework to find information in a cluster. It can productively process terabytes of information in minutes and petabytes in a couple of hours.
MapReduce works with HDFS and HBase security that allows only approved users to operate on data stored in the system.
It scale-out engineering with MapReduce programming, permits the capacity and handling of information in an extremely reasonable way.
It enables businesses to change and modify their data system as per their needs.