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Asked by Deepthi Last Modified
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Hadoop is a distributed data processing framework designed for processing large volumes of data across a distributed cluster of machines
MapReduce in Hadoop is a batch processing model that divides tasks into Map (to process and filter data) and Reduce (to aggregate or summarize results).
MongoDB is a NoSQL database that stores data in flexible, document-based format (BSON). While MongoDB supports MapReduce, it is not primarily designed for large-scale, distributed batch processing.
MapReduce in MongoDB is useful for smaller datasets or operations that are needed on the documents within the database (e.g., aggregation of data stored in MongoDB collections).
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