Open AccessData Visualization in Splunk and Tableau: A Case Study Demonstration
Author(s) -
N. Balaji,
B. H. Karthik Pai,
B. V. Rajarama Bhat,
Praveen Barmavatu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1767/1/012008
Subject(s) - visualization , computer science , bar chart , data visualization , process (computing) , visual analytics , data science , chart , pie chart , data mining , programming language , statistics , mathematics
This article mainly deals with data analytics and visualization techniques. Data visualization techniques helps user to understand the data in a faster and easier way. Any data which is in the form of text is difficult to analyse in a short period of time, so using some colours or visualization techniques like bar chart, scattered plots will give a better understanding of any data in a glance. Using this technique we can analyse the data in a faster way and also represent a data in a batter way. Apart from data visualization, this internship focused on handling machine generated log data. Most of the time machines will generate some kind of log data in response to our actions, which is very difficult to understand. A study says that in the present world, machines will generate large amount of data, which are difficult to understand and analysing this data can be used for the betterment of the business or to invent new things. So to understand this machine generated data there is requirement of some experience with the process and also using of the tools, we can make the machine generated data divide into events and represent it in an easy and understandable manner.