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Error Log Analytics using Hadoop

Author(s):

Ms. Akshaya A. Navaghane , Dr.JJMCOE,Jaysingpur; Ms. Jyoti A. Patil , Dr.JJMCOE,Jaysingpur; Ms. Nikita C. Patil, Dr.JJMCOE,Jaysingpur; Ms. Ashwini J. Dive, Dr.JJMCOE,Jaysingpur; Prof. R. S. Kamble, Dr.JJMCOE,Jaysingpur

Keywords:

Data Mining, Predictive Analysis, Hadoop, Mapreduce, Flume, Sqoop

Abstract

Logs analysis is study and analysis of various logs generated by applications and various devices. Logs are integrated from various nodes or the servers. Whenever we access any application on system that time some data is record in background of system those records are termed as ‘logs’. A meaningful information is stored in log file which is extract using hadoop tools and stored into hadoop framework. On the basis of log file data we can classify the logs data for a future use.

Other Details

Paper ID: IJSRDV5I20842
Published in: Volume : 5, Issue : 2
Publication Date: 01/05/2017
Page(s): 2078-2080

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