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Apache Hadoop is an open-source software framework for distributed storage and distributed processing of Big Data on clusters of commodity hardware.
Its Hadoop Distributed File System (HDFS) splits files into large blocks (default 64MB or 128MB) and distributes the blocks amongst the nodes
in the cluster. For processing the data, the Hadoop Map/Reduce ships code (specifically Jar files) to the nodes that have the required data,
and the nodes then process the data in parallel. This approach leverages data locality, in contrast to conventional HPC architecture which
usually relies on a parallel file system (compute and data separated, but connected with high-speed networking).