Manipulating big data distributed over a cluster is one of the big challenges which most of the current big data oriented companies face. This is evident by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework which caters to provide solution for big data management. This paper, present a discussion on how technically Apache Spark help us in Big Data Analysis and Management.
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