Recently, I had a situation where there were a multitude of ways a set of events could occur to a particular data point over time – where I needed to know what every possible pattern of events had occurred to that single data point. In this post, I’ll walk through the scenario of when you’d want to do something like this and how find patterns in a dataset.

Imagine you have a source system which allows a customer to interact with your front-end application, like updating their profile, and you want to know how they update their profile and all the different patterns in which they go about interacting with your system. To do that, you’ll need to recursively join to your data and build that pattern, in a set-based way, achieving superior performance with a very large dataset.