Real-Time Data Aggregation and Analysis: A New Era Machine Learning

5 Pages Posted: 3 Apr 2020

See all articles by Sheena Rajan

Sheena Rajan

Nationwide Mutual Insurance

Ashish Khanna

Maharaja Agrasen Institute of Technology

Date Written: April 2, 2020

Abstract

Logs are a key bit of leeway and play a vital role in organizations, for the quickest and most productive approach to transform machine data into performance. Log management is a powerful method that incorporates both analysis and event correlation which gives the underlying driver of any security infringement, that may not be able to figure out, even after going through hours. Machine-generated data are more complicated, unstructured and difficult to analyze. However, it is significant to analyze and optimize the execution of a machine. Splunk is an emerging trend for Machine Learning, which amend data analysis to the next level. Splunk makes simple to tackle the intensity of machine learning to enhance the security and operations by searching, analyzing and visualizing the logs generated from networks, applications, devices, etc. This paper proposes, how the logs are overseen by Splunk to produce real-time perceptions.

Keywords: Log management, Machine Learning, Splunk

Suggested Citation

Rajan, Sheena and Khanna, Ashish, Real-Time Data Aggregation and Analysis: A New Era Machine Learning (April 2, 2020). Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020, Available at SSRN: https://ssrn.com/abstract=3566786 or http://dx.doi.org/10.2139/ssrn.3566786

Sheena Rajan (Contact Author)

Nationwide Mutual Insurance ( email )

Columbus, Ohio
American Samoa

Ashish Khanna

Maharaja Agrasen Institute of Technology ( email )

New Delhi, 110086
India

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