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The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part which is a MapReduce programming model. Hadoop splits files into large blocks and distributes them across nodes in a cluster. It then transfers packaged code into nodes to process the data in parallel.
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming clusters with implicit data parallelism and fault tolerance . Originally developed at the University of California, Berkeley 's AMPLab starting in 2009, in 2013, the Spark codebase was donated to the Apache ...
Feature Java [3] C++ [4] Perl eXtensible Markup Language (XML) 1.0 Fourth Edition Recommendation: Yes: Partial: Partial: eXtensible Markup Language (XML) 1.1 Second Edition Recommendation