In Chapter 5, Extending Intelligence - Datasets, Modelling and Pivoting, we learned all about data models and how they can be accelerated to facilitate faster Pivot reporting. Data model acceleration works by leveraging data summarization behind the scenes. In this chapter, we will take a look at two more data summarization methods in Splunk: summary indexing and report acceleration. These methods enable you to speed up reports or preserve focused statistics over long periods of time. You will learn how to populate summary indexes, use report acceleration, backfill summary indexes with historical data, and more.
Introduction
Data summarization
Big data is just that, big, and even with the best infrastructure, it can be extremely...
