MapReduce is a programming model and software framework for processing large datasets in parallel across a distributed computing environment. It involves two primary stages: the 'map' stage, where input data is divided and processed into key-value pairs, and the 'reduce' stage, where data with the same key is aggregated and further processed to produce the final output. It is commonly used for data analysis, indexing, and search applications.
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