We now have enough knowledge of Splunk's features and analytical capabilities; let's look at R and its capabilities. R is a statistically and graphically supported programming language for data analysis and data mining. R has extensive library support for statistical computing (linear/nonlinear modeling, clustering, classification, time series analysis, graphical plotting, predicting, forecasting, data mining, and so on).
Splunk, being a big data tool, can be integrated with R to leverage its advanced analytical capabilities for real-time insights. The Splunk app store had an app called R Project, but it is no longer available on the app store. The R Project app for Splunk can now be downloaded from GitHub (https://github.com/rfsp/r/).
The app can be installed on a Splunk instance like any other app downloaded from the Splunk app store. This app on Splunk exposes a new search command—r, which allows us to pass data from Splunk to the R-Engine for calculation and...