not sure the best place to ask the question. but let’s say ive got airbyte deployed with a connection that takes an “incremental, dedup’ed source” and dumps those records into a database. are there common approaches to taking this data and synthesizing events or running comparisons against changed records? for example, via airbyte and what is present in the DB, i could detect that “some change” occurred for a record with a certain primary key. now i want to do something more useful with that information and (1) find out the nature of the exact change and (2) notify some service about the specific change

I'm fairly new to Airbyte myself (FWiW), but the use-case you mention sounds like something you'd handle downstream of Airbyte. An Airflow Sensor would probably do the trick.

ill check that out! im not only new to airbyte, but to this sort of data engineering, in general

Fair enough and welcome to the practice! The key takeaway for me as I evaluate Airbyte is that it's main area of focus is 'data movement'. That gets a bit fuzzy when you integrate dbt (data build tool) with it, but I think it furthers the point actually. Airbyte is saying 'let a tool built for transformation be responsible for that work'. I think the same would be true for your case. It's an interesting time to jump on board to Data Engineering train. So many tools and tech, so little time. 😄

never enough time 😬