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nikunj_or
New Member

Dataflow Gen2 - unable to create data destination as lakehouse

I'm bringing data from Azure SQL Server through data gateway. I can see data being pulled.  

However, when I try to create the destination in the lakehouse, I keep getting the following error: An exception occurred: The given data source kind is not supported. Data source kind: Lakehouse.

nikunj_or_1-1753359175322.png

 

 

1 ACCEPTED SOLUTION
v-karpurapud
Community Support
Community Support

Hi @nikunj_or 


Thank you for contacting the Microsoft Fabric Community Forum. Also , thank you @suparnababu8 for sharing helpful insights.

 

The error message “The given data source kind is not supported. Data source kind: Lakehouse” occurs because Dataflow Gen2 does not currently support writing to a Lakehouse when the data source is accessed via an on-premises data gateway. While your Azure SQL Server connection through the gateway is functioning properly and data retrieval is successful, the issue arises during the writing process to the Lakehouse. This message indicates that the connector being used is not supported for this configuration. As alternatives, if your SQL Server is accessible via the cloud (such as a public Azure SQL Database), you can connect directly without the gateway, which is compatible with Lakehouse in Dataflow Gen2. Alternatively, you may consider using a Microsoft Fabric Data Pipeline.

or additional guidance, refer to the official Microsoft Fabric documentation onDataflow Gen2 data destinations and managed settings - Microsoft Fabric and Move data from Azure SQL DB into Lakehouse via copy assistant-Microsoft Fabric.

 

Regards,
Karpurapu D,
Microsoft Fabric Community Support Team.

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5 REPLIES 5
v-karpurapud
Community Support
Community Support

Hi @nikunj_or 

We haven't received a response to our last message and wanted to follow up to see if you have found a solution. If you still need help, please share more details so we can assist you further.

Thank you.

v-karpurapud
Community Support
Community Support

Hi @nikunj_or 

I wanted to check if you’ve had a chance to review the information provided. If you have any further questions, please let us know. Has your issue been resolved? If not, please share more details so we can assist you further.

Thank You.

v-karpurapud
Community Support
Community Support

Hi @nikunj_or 

We have not yet received a response from you regarding your query. If the previous response was helpful, please let us know. If not, feel free to provide more details so we can assist you further.

Thank you.

v-karpurapud
Community Support
Community Support

Hi @nikunj_or 


Thank you for contacting the Microsoft Fabric Community Forum. Also , thank you @suparnababu8 for sharing helpful insights.

 

The error message “The given data source kind is not supported. Data source kind: Lakehouse” occurs because Dataflow Gen2 does not currently support writing to a Lakehouse when the data source is accessed via an on-premises data gateway. While your Azure SQL Server connection through the gateway is functioning properly and data retrieval is successful, the issue arises during the writing process to the Lakehouse. This message indicates that the connector being used is not supported for this configuration. As alternatives, if your SQL Server is accessible via the cloud (such as a public Azure SQL Database), you can connect directly without the gateway, which is compatible with Lakehouse in Dataflow Gen2. Alternatively, you may consider using a Microsoft Fabric Data Pipeline.

or additional guidance, refer to the official Microsoft Fabric documentation onDataflow Gen2 data destinations and managed settings - Microsoft Fabric and Move data from Azure SQL DB into Lakehouse via copy assistant-Microsoft Fabric.

 

Regards,
Karpurapu D,
Microsoft Fabric Community Support Team.

suparnababu8
Super User
Super User

Hi @nikunj_or 

 

It might be becuase of older verison of Gateway. Try to update your GateWay to latest version/install latest version of Gateway and try again.

 

Pls let me know if it works.

 

Thank you!

 

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