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Hi,
Is there a way to refresh all the Semantic models in a workspace using notebooks in Fabric?
Tx
Solved! Go to Solution.
Hi @PratibhaY ,
Yes, it can be achieved in multiple ways.
- Using Fabric Pipeline to refresh semantic model
-Using PowerRestClient()
-Use sempy python library: Please check this link- https://github.com/m-kovalsky/Fabric
All these options are documented in the below blog.
https://fabric.guru/refreshing-individual-tables-and-partitions-with-semantic-link
Thanks,
Pallavi
Hi @PratibhaY ,
Yes, you can refresh all the Semantic models in a workspace using notebooks in Microsoft Fabric. Here are a couple of methods you can use:
You can create a pipeline in Data Factory and add a Semantic model refresh activity. This activity allows you to refresh Power BI datasets by creating connections to your Power BI semantic model datasets and refreshing them from a data pipeline
For several ways of notebooks refer to the following links:
How to use notebooks - Microsoft Fabric | Microsoft Learn
Below is the official link will help you:
Best Regards,
Xianda Tang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Thank you!
Hi @PratibhaY ,
Yes, you can refresh all the Semantic models in a workspace using notebooks in Microsoft Fabric. Here are a couple of methods you can use:
You can create a pipeline in Data Factory and add a Semantic model refresh activity. This activity allows you to refresh Power BI datasets by creating connections to your Power BI semantic model datasets and refreshing them from a data pipeline
For several ways of notebooks refer to the following links:
How to use notebooks - Microsoft Fabric | Microsoft Learn
Below is the official link will help you:
Best Regards,
Xianda Tang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @PratibhaY ,
Yes, it can be achieved in multiple ways.
- Using Fabric Pipeline to refresh semantic model
-Using PowerRestClient()
-Use sempy python library: Please check this link- https://github.com/m-kovalsky/Fabric
All these options are documented in the below blog.
https://fabric.guru/refreshing-individual-tables-and-partitions-with-semantic-link
Thanks,
Pallavi