MapReduce is a programming model and processing technique for large data sets with a parallel, distributed algorithm on a cluster. It simplifies the process of data processing by breaking down tasks into a map function that processes key/value pairs to generate intermediate key/value pairs, and a reduce function that merges all intermediate values associated with the same intermediate key.