Improving the data input process
Data input is a %very important process before you generate insight and visualizations from data. So, it is very important that the data is indexed, parsed, processed, and segmented properly. It may not be the case that the first approach/setting the user applies is the best, and there may be a need for a trial-and-error method to find the best settings for the data of those types for which settings are not available, by default, in Splunk.
It is always advisable to first upload small amount of data on a test index on a development server of Splunk. Once the data is available on Splunk in the correct format of events in which queries can result in the required visualizations, then the input can be forwarded to the ...
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