Forum Discussion
Unexpected error occurred while creating your data destination. Please try again later.
Hi WrigleyMedia,
Thanks for following up.Since you have already validated the data types and confirmed that the API connection is working correctly, let’s explore other possible causes for the "Unexpected Error" when publishing to the Lakehouse.
- Navigate to Dataflow Gen2 → recent runs and check for any warnings or hidden error messages beyond the "Unexpected Error." If you see an error code or additional details, please share them here for further analysis.
- Create a new test Lakehouse and attempt to publish the Dataflow there. If it works, the issue may be specific to your existing Lakehouse.
- Check you have the necessary write permissions for the Lakehouse.
- Try publishing a small subset of data to see if the issue is related to specific rows or data volume limits.
I trust this information proves useful. If it does, kindly Accept it as a solution and give it a 'Kudos' to help others locate it easily.
Thank you.
The issue still exists. I went throug the wizard of publishing data. I made sure to only enable the fields that appear to have no issues with the Lakehouse I created. The fields include numbers, text, and date data. Publishing is still failing and there is no specific error. I'm only getting the "Unexpected Error" message as always.
This dataflow is connecting our data source to PowerBI Service via API. The API connection is working perfectly.
Community SupportHi WrigleyMedia,
Thanks for following up.
Since you have already validated the data types and confirmed that the API connection is working correctly, let’s explore other possible causes for the "Unexpected Error" when publishing to the Lakehouse.
- Navigate to Dataflow Gen2 → recent runs and check for any warnings or hidden error messages beyond the "Unexpected Error." If you see an error code or additional details, please share them here for further analysis.
- Create a new test Lakehouse and attempt to publish the Dataflow there. If it works, the issue may be specific to your existing Lakehouse.
- Check you have the necessary write permissions for the Lakehouse.
- Try publishing a small subset of data to see if the issue is related to specific rows or data volume limits.
I trust this information proves useful. If it does, kindly Accept it as a solution and give it a 'Kudos' to help others locate it easily.
Thank you.