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Answer Posted / Shahzad Alam
MapReduce and Spark are both big data processing frameworks, but they have significant differences. MapReduce is a batch processing system developed by Google and later open-sourced as part of Hadoop. It follows the map-shuffle-reduce paradigm for processing large datasets. On the other hand, Apache Spark supports both batch and streaming data processing with an in-memory data processing architecture that delivers faster performance than MapReduce.
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