Data-Intensive Text Processing with MapReduce (Synthesis Lectures on Human Language Technologies) by Jimmy Lin
English | Apr. 30, 2010 | ISBN: 1608453421 | 175 Pages | PDF | 2 MB
Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers.