Mapreduce - Simplified Data Processing on Large Clusters

The document describes MapReduce, a programming model and implementation for processing large datasets across clusters of computers. It allows users to write map and reduce functions to parallelize tasks. The MapReduce library automatically parallelizes jobs, distributes data and tasks, handles failures and coordinates communication between machines. It is scalable, processing terabytes of data on thousands of machines, and easy for programmers without parallel experience to use.