Chapter 5. Advanced Data Analytics
This chapter will take you through important advanced data analytics commands to create reports, detect anomalies, and correlate the data. You will also go through the commands for predicting, trending, and machine learning on Splunk. This chapter will illustrate with examples the usage of advanced analytics commands to be run on Splunk to get detailed insight on the data.
In this chapter, we will cover the following topics:
- Reports
- Geography and location
- Anomalies
- Prediction and trending
- Correlation
- Machine learning
Reports
You will now learn% reporting commands that are used to format the data so that it can be visualized using various visualizations available on Splunk. Reporting commands are transforming commands that transform event data returned by searches in tables that can be used for visualizations.
The makecontinuous command
The Splunk command% makecontinuous
is used to make x-axis field continuous to plot it for visualization. This command adds...