Forum Discussion
Backing up Power BI dataflows as .json file
Hi vinaypat2023 ,
If you enable the Azure storage connection on your Power BI workspace, a copy of your dataflow definition and snapshots are automatically stored in a data lake. You can then recover a deleted or modified dataflow by downloading its model.json file from the data lake, then importing it back to Power BI.
You can use Power Automate or Azure Logic Apps to export your dataflow definition to a JSON file, then store it in SharePoint or Azure Data Lake Gen2. Using either of these methods enables you to back up your dataflow using alternative file storage options and automate the process.
You can also manually export your dataflow to a JSON file and import it to another workspace or location. Manually exporting your dataflow is simple and quick, but is a manual process that must be done each time you want to back up your dataflow.
Dataflows best practices - Power BI | Microsoft Learn
Best regards.
Community Support Team_Caitlyn
Hi vinaypat2023 ,
If you enable the Azure storage connection on your Power BI workspace, a copy of your dataflow definition and snapshots are automatically stored in a data lake. You can then recover a deleted or modified dataflow by downloading its model.json file from the data lake, then importing it back to Power BI.
You can use Power Automate or Azure Logic Apps to export your dataflow definition to a JSON file, then store it in SharePoint or Azure Data Lake Gen2. Using either of these methods enables you to back up your dataflow using alternative file storage options and automate the process.
You can also manually export your dataflow to a JSON file and import it to another workspace or location. Manually exporting your dataflow is simple and quick, but is a manual process that must be done each time you want to back up your dataflow.
Dataflows best practices - Power BI | Microsoft Learn
Best regards.
Community Support Team_Caitlyn