Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hi,
I am connecting to a Lakehouse from a Notebook within Microsoft Fabric. I run an analysis on a dataframe, e.g. ydata_profiler using a PySpark, that produces an inline report of my data. Great, but...
How do I export or share that report with business users, quickly? The profile report is interactive so a pdf won't suffice. I want to know in general what the best way is of sharing data science progress with stakeholders is, outside of the Fabric Notebook (that is not PowerBI which is incredibly slow, clunky and adds too many extra steps).
In RStudio, I would use a Shiny app. I tried looking at the streamlit python package, but I can't get it to run in Fabric notebook (I might be doing something wrong however).
Is there something that will work directly from a Fabric Notebook?
Thanks
Yeah, so the best move is probs exporting your notebook output to OneDrive or Azure Blob Storage and just sharing access from there. You can also save stuff as CSV or Parquet files and plug it into Power BI or whatever dashboard tool you like. Fabric doesn’t let you share live notebook progress yet (rip), but this workaround works fine. Honestly, hoping Microsoft adds a built-in way to share soon would make life way easier for collabs and updates. You can also visit my website.
Yeah, so the best move is probs exporting your notebook output to OneDrive or Azure Blob Storage and just sharing access from there. You can also save stuff as CSV or Parquet files and plug it into Power BI or whatever dashboard tool you like. Fabric doesn’t let you share live notebook progress yet (rip), but this workaround works fine. Honestly, hoping Microsoft adds a built-in way to share soon would make life way easier for collabs and updates. You can also visit my website.
Current workflow is:
Read Lakehouse table into a Spark datafram in a Notebook
Run any analysis (e.g. a ProfileReport from ydata_profiler package)
Write the profile report to an html file in the Lakehouse
Use OneLake file explorer in windows explorer to view the html file in a browser (requires installing OneLake file explorer (https://learn.microsoft.com/en-us/fabric/onelake/onelake-file-explorer))
Kinda works for now
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Fabric update to learn about new features.
User | Count |
---|---|
6 | |
6 | |
2 | |
2 | |
2 |