Incremental Refresh on a dataset with Dataflows as a data source

Based on some tests I did on enhanced compute dataflows (which do support some query folding, see https://ssbipolar.com/2020/09/16/dataflows-enhanced-compute-engine-will-it-fold/ and within that article there is a link to which queries will fold), it seems like incremental dataset refreshes against an incremental dataflow can work.

I didn't proceed very far, but I set up an incremental refresh dataset which is pointed towards a dataflow (enhanced compute turned on, incremental refresh turned on). I then checked the XMLA endpoint in SSMS and I inspected the partitions. They contained the dates/rows I was expecting and each time I refreshed the test dataset it updated the correct partitions.

But yes, dataflows have been a headache with some weird failures and behavior. Sad because it is nice to allow people to access data and do their own thing without requiring access to the source (either DB or Azure Blob parquet datasets in this case). And I do not need to open up PBI desktop at all which is nice because I can do my job (providing data access) within PBI service. I am hoping for more improvements and expanded documentation..