Hadoop is the key solution for every big data stored in the company. It is an open-source Java-based processing framework that works in a cluster for each data set.
The data types in Hadoop are stored in many different ways, like semi-structured, structured, and unstructured.
Big Data means assemblages of complex and huge datasets which hinders the process that is dependable by working traditional data processing
There are many other cool features in a Hadoop platform. But the most essential is the utilization of commodity hardware.
The checkpoint is when a FsImage is edited to a log, and then it gets compacts to make into a new FsImage. The NameNode can load the end final into the memory state
The master node executes the same task on another node in a more diffuse way, only if the nodes’ execution process is slow. In this case
The “Input Split” is defined as the logical division of data. At the same time, the “HDFS Block” is defined as the physical division
The “RecordReader” is termed as “Input Format”. The “InputSplit” doesn’t show the procedure for using it, but it does give a glimpse of its work.