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Methods for storing and processing large amounts of data using MapReduce and Percona Server

Abstract

Methods for storing and processing large amounts of data using MapReduce and Percona Server

Yanishevskaya A.G., Chursin M.A.

Incoming article date: 27.05.2015

Working with big data work involves a huge amount of information and content, rapidly renewable, located in different sources. Tasks work with large data required for efficiency, are used to create new products and enhance competitiveness. This article describes the following methods for working with large volumes of data: MapReduce, Percona server.

Keywords: Gig data, Concurrent computing, map, reduce, mapreduce, percona server