• Rohith Y
• Akhil K
• Sruthi S

Log Analysis is a critical procedure in most framework and system exercises where log information is utilized for different reasons, for example, for execution checking, security examining or notwithstanding for revealing and profiling. Nonetheless, as years cruised by, the volume of log information increments alongside the span of the framework just as the quantity of clients included. Customary or existing log analyzer instruments are not ready to deal with the huge measure of information. Thusly, Big Data is the answer for defeated this issue. The principle motivation behind this paper is to introduce a survey of log document investigation in Big Data condition dependent on past research works. This paper likewise features the qualities of Big Data just as Hadoop Framework that has been generally utilized as Big Data application. Results from the papers assessed demonstrates that dominant part analysts connected MapReduce as the principle segment of Hadoop for investigating the log records and HDFS as the information stockpiling. Past analysts have likewise utilized different instruments and calculations together with the Hadoop Framework for investigation purposes. The discoveries of this paper will give an intelligible audit of Hadoop use execution in breaking down various kinds of log records and prescribe justifiable outcomes for end clients to use in future work.

Hadoop, HDFS, log analysis, log files, MapReduce

"A study on Log Analysis ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.1074-1078, June 2019, Available :http://www.jetir.org/papers/JETIR1907456.pdf

"A study on Log Analysis ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp1074-1078, June 2019, Available at : http://www.jetir.org/papers/JETIR1907456.pdf