Hi Paul, Simon,
thanks for your insights.
What I would like to do is process data in the ML WB from tables that I don’t actually need/want to have in the data model in their raw format. This would help me keep the data model small and prevent analysts from accessing tables in the workspaces they are not supposed to.
Is there another more or less clean solution to tackle this?
My ultimate goal would be to first process data from raw tables in the ML WB and afterwards load this data into a data model for use in the analyses.