Just published new video on Databricks Performance Series to try to clearly explain how DataFrame caching over Delta Tables behaves when updates on underlying table are performed. I came across this use case in my recent project and struggled a little bit until completely understand. So, sharing with community to shed light on this.
I hope it helps or even I could get some feedback on further considerations I didn't take into account.
Ping me if you need source code.
Thanks!
