Guest User Loading Data with Gen2 Dataflow to Fabric Lakehouse

[MartinMason]

I have an interesting issue that likely just can't be done. We have a need to integrate data with fairly low latency between two different organizations. Have successfully created the guest user and they can successfully browse content in a workspace in our tenant and can see and browse a Fabric lakehouse. However, when they create a Gen2 dataflow, and retrieve data from a source in their tenant, i.e. an API using their tenant AAD credentials, when selecting a Data Destination in the Gen2 dataflow, they only can browse their tenant. They do not see the Lakehouse in our tenant as a data destination option. For now, there are several workarounds but hoping there might be a Power BI tenant setting that I'm just unaware of.

TIA

[v-cboorla-msft]

Hi @MartinMason 

Thanks for using Microsoft Fabric Community.
At this time, we are reaching out to the internal team to get some help on this .
We will update you once we hear back from them.

Appreciate your patience.

Thanks.

[v-cboorla-msft]

Hi @MartinMason 

Apologize for the delay in the response from my end.

Please reach out to our support team so they can understand the limitations while integrating data with low latency across organizations. To gain deeper insights and explore potential solutions, it's highly recommended that you reach out to our support team. Their expertise will be invaluable in suggesting the most appropriate approach.

Please go ahead and raise a support ticket to reach our support team:

https://support.fabric.microsoft.com/support

After creating a Support ticket please provide the ticket number as it would help us to track for more information.

Thank you.

[v-cboorla-msft]

Hi @MartinMason 

I'm following up on my previous inquiry to see if you've had a chance to create a support ticket for this issue. If a ticket has been created, I would appreciate it if you could provide the ticket number for our reference. This will allow us to track the progress of the issue.

Thanks.