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I have a simple DLT pipeline that reads from an existing table, do some transformations, saves to a view, and then uses dlt.apply_changes() to insert the view into a results table. My question is:why is my results table a view and not a table like I ...

I have configured a database in the settings of my DLT pipeline. Is there a way to retrieve that value programmatically from within a notebook? I want to do something likespark.read.table(f"{database}.table")