An Performance Analysis of Map Reduce Using Big Data and Hadoop

Abstract

Big data is used to define an enormous volume of both structured and unstructured data that is so large that it's problematic to process using traditional database and software techniques. Big Data is regarded as by the dimensions volume, variety, and velocity, while there are some well-established methods for big data processing such as Hadoop which uses the map-reduce paradigm. Using MapReduce programming paradigm the big data is processed.