Spark is not tied to the two-stage MapReduce paradigm, and promises performance up to 100 times faster than HadoopMapReduce for certain applications. Spark provides primitives for in-memory cluster computing that allows user programs to load data into a cluster’s memory and query it repeatedly, making it well suited to machine learning algorithms.
Source: intellipaat
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