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fabricpribeiro
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4 months ago
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Create databricks shorcuts into fabric

Dears,

 

Is it possible to create databricks shortcuts into fabric?

 

How are you briniging your information from databricks into fabric?

 

Maybe mirroring or something?

 

Thanks a lot,

 

Pedro

  • Hello fabricpribeiro,

    It is not possible to create shortcuts directly to Azure Databricks using Microsoft Fabric.
    Shortcuts work at the storage layer rather than the compute layer. You can point to sources like Azure Data Lake Storage Gen2, but not a Databricks workspace or metastore.
    In practice, Databricks writes the data to ADLS Gen2 and then you create a shortcut to that location in Microsoft Fabric. That way you’re not copying the data again.
    Docs:
    OneLake shortcuts 
    Connect to ADLS and transform the data with Azure Databricks 

7 Replies

  • Hi fabricpribeiro ,

     

    Yes, absolutely possible — and there are two main approaches that work really well:

    1. Shortcuts from Databricks' underlying storage (my personal favorite in this moment)

    If your Databricks writes to ADLS Gen2 (Azure Data Lake Storage), you can create a Shortcut in Fabric pointing directly to that storage path. I'm using this in production and it works great:

    • No data movement, near real-time access
    • Data surfaces as tables in your Fabric Lakehouse
    • Delta Lake compatible → Fabric reads it natively in Delta format
    • The flow is: Databricks writes to ADLS → you create a Shortcut in your Fabric Lakehouse pointing to that path → done, instantly accessible from Spark, SQL Analytics Endpoint, and Power BI.

    Official reference: https://learn.microsoft.com/en-us/fabric/onelake/create-adls-shortcut

    2. Databricks Mirroring in Microsoft Fabric

    Fabric also has native Mirroring for Databricks, which replicates Unity Catalog tables directly into OneLake. A more "managed" option if you want Fabric to handle the sync automatically:

    Continuous replication of Delta tables from Unity Catalog

    Data lands in OneLake in Delta format, accessible without additional pipelines

    Ideal if you don't have direct access to the underlying storage, or prefer a more decoupled solution

    Official reference: https://learn.microsoft.com/en-us/fabric/database/mirrored-database/azure-databricks

     

    My recommendation: if you have access to the ADLS, start with the Shortcut — simpler, more transparent, and already battle-tested. If you're on Unity Catalog and want something more managed, Mirroring is the cleanest path

     

    If my comment helped solve your question, it would be great if you could like the comment and mark it as the accepted solution. It helps others with the same issue and also motivates me to keep contributing.

     

    Thanks a lot, I really appreciate it.

  • Hi fabricpribeiro ,

     

    If my comment helped solve your question, it would be great if you could like the comment and mark it as the accepted solution. It helps others with the same issue and also motivates me to keep contributing.

     

    Thanks a lot, I really appreciate it.

  • Hello fabricpribeiro,

    It is not possible to create shortcuts directly to Azure Databricks using Microsoft Fabric.
    Shortcuts work at the storage layer rather than the compute layer. You can point to sources like Azure Data Lake Storage Gen2, but not a Databricks workspace or metastore.
    In practice, Databricks writes the data to ADLS Gen2 and then you create a shortcut to that location in Microsoft Fabric. That way you’re not copying the data again.
    Docs:
    OneLake shortcuts 
    Connect to ADLS and transform the data with Azure Databricks 

  • Hi fabricpribeiro   ,


    Thank you for reaching out to Microsoft Fabric Community and Thanks to Olufemi7  for Sharing valuable insights.


    Just wanted to check if you had the opportunity to review the information provided. Please feel free to contact us if you have any further questions. 


     Best Regards,

    Abdul Rafi.

  • Hi fabricpribeiro  ,


    We wanted to check if your question has been resolved or if you are still facing any confusion feel free to reach out. Providing an update can be beneficial for others who might be experiencing similar challenges.

     

    Thank you.