Data Fabric Search (DFS) is a paradigm shift from native Splunk and introduces several new innovative concepts such as core scaling and federated search. This sparks questions regarding: How to maximize search performance using DFS conf parameters? How to size the DFS Spark cluster? and What search time speed ups can I expect with DFS? This discourse aims to answer these questions and presents DFS best practices in the context of improving and discovering business use cases.
Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1727.pdf?podcast=1577146225