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cwoldorff
Regular Visitor

Power Query Python Script vs. Fabric Notebook?

I need to use a Python script for additional processing of my data before loading it into my PBI report. The two ways I am looking at doing this are: 

1) Run a Python script in Power Query or

2) Create a Fabric Notebook that loads the processed data it into a Lakehouse and connect my report there.

 

I know that the first option will require a gateway in order to refresh the report online. But could someone please tell me any other pros/cons of each approach?

 

Thank you in advance.

1 ACCEPTED SOLUTION
GilbertQ
Super User
Super User

Hi @cwoldorff 

 

I would highly recommend using a fabric notebook. The reason for this is that there are limitations with regards to the libriaries that you can use within Power BI desktop, you'll see it a much better editing and viewing experience when using the fabric notebook.





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1 REPLY 1
GilbertQ
Super User
Super User

Hi @cwoldorff 

 

I would highly recommend using a fabric notebook. The reason for this is that there are limitations with regards to the libriaries that you can use within Power BI desktop, you'll see it a much better editing and viewing experience when using the fabric notebook.





Did I answer your question? Mark my post as a solution!

Proud to be a Super User!







Power BI Blog

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