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Big Data Analysis: Analysis of log files using Map Reduce

Author(s):

Himanshu Rathod , L.J.I.T, Ahmedabad, Gujarat.; Tarulata Chauhan, L.J.I.T, Ahmedabad, Gujarat.

Keywords:

big data, big data analysis, hadoop, MapReduce.

Abstract

Big data is now a days a growing name, big data includes structured, semi structured as well as unstructured data. In this condition the storage and analysis of the data becomes a serious issue. Apache Hadoop is a growing name in storing maintaining as well as analysing the bid unstructured data. Apache Hadoop is an open source software to store, process and analyse the data. MapReduce is an efficient method used by the Hadoop to analyse the data. It is based on two functions Map functions and Reduce Functions. Both of which can be developed by developer according to their needs in any language supported by Hadoop. Log files are largely growing in amount and thus converting into big data. We propose a method to analyze the log files using the Hadoop MapReduce method.

Other Details

Paper ID: IJSRDV2I3715
Published in: Volume : 2, Issue : 3
Publication Date: 01/06/2014
Page(s): 1870-1872

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