Hi, Are deployment rules for Direct OneLake semantic models not yet supported? My UAT and PROD Direct Lake models are still pointing to the DEV environment. Deployment rules menu appears greyed out and cannot be modified... Has anyone found a workaround for this issue? Thanks :

Hi everyone, Does anyone know if it’s possible to convert a Direct Semantic Model into an Import Model — and vice versa? Thanks !

Hi all, I’m writing Delta tables in a Spark notebook, partitioned by a date column. Usually I do a full overwrite, but I’m thinking of switching to: .option("partitionOverwriteMode", "dynamic") Has anyone tested this option in Fabric? I’d be curious to hear your feedback or gotchas. Thanks!

Hi everyone, I’m currently testing a Direct Lake semantic model and noticed something odd: for some tables, changes in the Lakehouse aren’t always reflected in the semantic model. If I delete the table from the semantic model and recreate it, then the changes show up correctly. The tables were created in the Lakehouse using DF Gen2. Has anyone else experienced this issue? I don’t quite understand why it happens, and I’m even considering switching back to Import mode… Thanks !

Hello everyone, I am trying to figure out the most efficient way / best practice with current fabric possibilities to dynamically change the destination of a data pipeline copy activity when deploying from DEV to PROD. How are you handling this in your project? Thanks !