MapReduce is a programming model used for processing large data sets with a distributed algorithm on a cluster. It simplifies the complexities of parallel processing by breaking tasks into two main functions: the 'Map' function, which processes input data and produces key-value pairs, and the 'Reduce' function, which merges these pairs to generate the final output. This model works seamlessly within Hadoop’s architecture, leveraging the Hadoop Distributed File System (HDFS) for efficient data storage and access.
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