Extract all 67 INFO DAX Functions on Semantic model to Delta table in Lakehouse using Python

Purpose of notebook is to collect, analyze and store semantic model INFO functions and DAX Queries in a Lakehouse and share with semantic model or report owners or crazy solution documenters

If you feel frustrated like me, not all DAX Info functions can be used like INFO.VIEW functions by adding a calculated DAX table.

Then we have been forced to used DAX Query View.

Save your frustration, because I found a way to store DAX Query results back to a lakehouse 🤓

Find the notebook on my GitHub here

https%3A%2F%2Fgithub.com%2FDKH-DK%2FSelf-Service-Power-BI-Fabric%2Fblob%2Fmain%2FPower%2520BI%2520Documentation%2520System%2F11.%2520Write%2520DAX%2520Queries%2520in%2520Python%2520Notebook%2520to%2520save%2520as%2520delta%2520table%2520in%2520Lakehouse.ipynb

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