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Hello Team,
Good Evening..!
We noticed that the metadata in Datawarehouse is not extracting Schema(Tab) which contains Tables and its columns
We scanned Lakehouse using Service prinicple where metadata extraction is done as expected but it is not the same in Data Warehouse after the scan completes.
Are there any other options to get that metadata extracted under warehouse ?
Please guide us the best possible methods to handle this situation.
Regards,
Naresh Inaganti
Solved! Go to Solution.
Hi @Naresh_inaganti ,
Yeah, this is a known gap right now. When scanning Data Warehouses with Purview, it often misses out on schema-level metadata, especially the detailed info like tables and columns. The Lakehouse integration is a bit more mature in this sense.
A couple things you can try:
Honestly, at the moment, there isn’t a full fix unless Microsoft updates the integration to support deeper scans for Fabric Data Warehouses. It’s worth keeping an eye on roadmap announcements for improvements here.
Hope this helps a bit, even if there’s no magic solution yet!
If my response resolved your query, kindly mark it as the Accepted Solution to assist others. Additionally, I would be grateful for a 'Kudos' if you found my response helpful.
@burakkaragoz Thank you for the suggestion and as we upgraded to latest version we are able to extract the metadata from fabric warehouse as PowerBI Dataset using Managed Identity authentication method
Hi @Naresh_inaganti,
Thanks for reaching out to the Microsoft fabric community forum.
From what you've shared, it looks like you're running metadata scans on both the Lakehouse and the Data Warehouse using a service principal. While the Lakehouse scan successfully retrieves full metadata including schemas (tabs), tables, and columns, the same is not happening for the Data Warehouse. After the scan completes for the Warehouse, the schema (tab) level and its child metadata (like tables and columns) are missing.
This typically points to a difference in how metadata extraction works between the two storage layers or potentially a configuration gap specific to the Data Warehouse scan. Can you check few things to move forward:
* Ensure that the service principal used has read access at the workspace level and object-level permissions inside the Data Warehouse. Unlike Lakehouse, the Data Warehouse might require explicit permissions on each schema or object for metadata to be extracted.
* Double-check the configuration used for scanning the Data Warehouse. If you're using Microsoft Purview or Microsoft Fabric’s built-in scanning capability, confirm that the correct collection or workspace is targeted and that schema discovery is enabled (if applicable).
* Also confirm whether the scanning tool you’re using supports schema-level metadata extraction for the Microsoft Fabric Data Warehouse. Some scanning tools extract only table-level metadata unless explicitly configured otherwise.
If you've already validated permissions and configuration but still aren't getting schema-level metadata, I’d recommend raising a support request with Microsoft Fabric Support. They can verify if this is expected behavior or an issue specific to your environment.
Please refer below link on how to raise a contact support or support ticket.
How to create a Fabric and Power BI Support ticket - Power BI | Microsoft Learn
I would also take a moment to thank @burakkaragoz, for actively participating in the community forum and for the solutions you’ve been sharing in the community forum. Your contributions make a real difference.
If I misunderstand your needs or you still have problems on it, please feel free to let us know.
Best Regards,
Hammad.
Community Support Team
Hi @Naresh_inaganti,
As we haven’t heard back from you, so just following up to our previous message. I'd like to confirm if you've successfully resolved this issue or if you need further help.
If yes, you are welcome to share your workaround and mark it as a solution so that other users can benefit as well. If you find a reply particularly helpful to you, you can also mark it as a solution.
If so, it would be really helpful for the community if you could mark the answer that helped you the most. If you're still looking for guidance, feel free to give us an update, we’re here for you.
Best Regards,
Hammad.
Hi @Naresh_inaganti,
I just wanted to follow up on your thread. If the issue is resolved, it would be great if you could mark the solution so other community members facing similar issues can benefit too.
If not, don’t hesitate to reach out, we’re happy to keep working with you on this.
Best Regards,
Hammad.
Hi @Naresh_inaganti,
We noticed there hasn’t been any recent activity on this thread. If your issue is resolved, marking the correct reply as a solution would be a big help to other community members.
If you still need support, just reply here and we’ll pick it up from where we left off.
Best Regards,
Hammad.
Hi @Naresh_inaganti ,
Yeah, this is a known gap right now. When scanning Data Warehouses with Purview, it often misses out on schema-level metadata, especially the detailed info like tables and columns. The Lakehouse integration is a bit more mature in this sense.
A couple things you can try:
Honestly, at the moment, there isn’t a full fix unless Microsoft updates the integration to support deeper scans for Fabric Data Warehouses. It’s worth keeping an eye on roadmap announcements for improvements here.
Hope this helps a bit, even if there’s no magic solution yet!
If my response resolved your query, kindly mark it as the Accepted Solution to assist others. Additionally, I would be grateful for a 'Kudos' if you found my response helpful.