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Spark is a cluster-computing framework, which means that it competes more with MapReduce than with the entire Hadoop ecosystem. For example, Spark doesn't have its own distributed filesystem, but can use HDFS. Spark uses memory and can use disk for processing, whereas MapReduce is strictly disk-based.

Apache Spark with Scala online training

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