One of the more common operational intelligence use cases is around the generation of metrics. For example, say we want to find the average execution time of a web request for the past month. This data might come from multiple web servers and millions of events per day. So, running a report over an entire month's raw event data will likely take a long period of time simply due to the event volume.
With summary indexing, a search can be scheduled to run each day to compute the average execution time for the day, and the results can be stored in a summary index. This will result in a summary index containing roughly 30 events for a given month-a lot less than the millions of raw event records! The following month, ...
