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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