Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! It's time to submit your entry. Live now!
Im working on a Power BI report development project and the main data source is a datalake which I connect via ODATA. I have setup few dataflows for it. Ive read the documentation and found out that the best practice is to separate the staging from the transformation layers.
So I created a staging one where I load some tables from the datalake without any steps/transformations after. Then I created a second dataflow and point to the staging one as a reference. Now from here, I noticed that all columns that contains nested tables are gone. After I publish the dataflow and come back later, an additional step was automatically added that removes all columns with nested tables. I really need those columns
How can I implement the best practice if this is the case? Do I need to load absolutelty all tables from the datalake for the nested columns to not disappear? There are about 1000+ tables and we dont need all those data, only a handful.
Thanks for reading,
Justine
Solved! Go to Solution.
After I publish the dataflow and come back later, an additional step was automatically added that removes all columns with nested tables. I really need those columns
in order to be used in a dataflow or dataset semantic model the result of a Power Query must be in tabular format and must contain only basic column types. No objects (like nested tables) are permitted.
After I publish the dataflow and come back later, an additional step was automatically added that removes all columns with nested tables. I really need those columns
in order to be used in a dataflow or dataset semantic model the result of a Power Query must be in tabular format and must contain only basic column types. No objects (like nested tables) are permitted.
I can see that now. Thank you!
The Power BI Data Visualization World Championships is back! It's time to submit your entry.
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 22 | |
| 13 | |
| 10 | |
| 8 | |
| 7 |