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hi Guys,
Is it possible to have write-back feature within Power Bi report, but based on DirectLake Over OneLake?
Or only it has to be SQL endpoint ?
Can anybody help and send some docs about it?
Best,
Jacek
Solved! Go to Solution.
Hi @jaryszek,
write the data to the underlying OneLake/Lakehouse instead of the model itself. For example, users can upload Excel or CSV files, and then use Fabric Dataflows, Notebooks (Spark/Python/SQL), or Translytical Task Flows to ingest that data into Lakehouse Delta tables. The DirectLake semantic model then reads this updated data after a refresh.
Thanks,
Prashanth
@jaryszek ,Using translytical Task flows, you can. I have tried for Warehouse and SQL DB. But you can have to lakehouse files.
Power BI Data Write-back Feature via Translytical Task Flows: https://youtu.be/2giHs13KUDI
thank you
Hii @jaryszek
DirectLake and Lakehouse datasets do not support write-back directly from a Power BI report. DirectLake is read-only, so you cannot update tables in OneLake from visuals or DAX. Write-back is only possible through an external endpoint such as SQL, API, Power Apps, or custom web service that writes data back to the Lakehouse/SQL. Power BI itself cannot write data back to a DirectLake model today.
Thank you,
so what could be a workaround for writing back from Excel/CSV file into power bi semantic model on DirectLake over OneLake?
Best,
Jacek
Hi @jaryszek,
write the data to the underlying OneLake/Lakehouse instead of the model itself. For example, users can upload Excel or CSV files, and then use Fabric Dataflows, Notebooks (Spark/Python/SQL), or Translytical Task Flows to ingest that data into Lakehouse Delta tables. The DirectLake semantic model then reads this updated data after a refresh.
Thanks,
Prashanth
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