Mapreduce Osdi04

The document describes MapReduce, a programming model and implementation for processing large datasets across clusters of computers. The model uses map and reduce functions to parallelize computations. Map processes key-value pairs to generate intermediate pairs, and reduce merges values with the same intermediate key. The implementation handles parallelization, distribution, and fault tolerance transparently. Hundreds of programs have been implemented using MapReduce at Google, processing terabytes of data on thousands of machines daily.