In this article, I want to share a little data engineering trick that I've used for building programs that consume poorly-understood data, which I'm calling 'Diversified Sampling'. This terminology is totally made up by me, and there's a high chance that this technique already exists with another name, or that the scholars have deemed it too trivial to name it at all. Hopefully some people more knowledgeable than me will comment on this.

When I got started using the Datomic database, I remember someone describing it to me as 'Event Sourcing without the hassle'. Having built Event Sourcing systems both with and without Datomic, I think this is very well put, although it might not be obvious, especially if you don't have much experience with Datomic.