Microsoft Fabric Tenant Settings v2 - Current & Snapshot Comparison

• Loading JSON Files: To import your local JSON files, select the JSON option in the Get Data menu and utilize the JSON connector in Power Query. This action prompts a local file browser for you to choose your JSON files.
• Transforming JSON Data: Power Query identifies tables within the JSON data and automatically converts them into a tabular format. You can then employ the editor to further modify the data as required, or simply close and apply.
• Data Analysis: Once all the JSON files have been imported and transformed into tables, Power BI’s data modeling and visualization tools can be used to analyze the data. You can formulate calculated columns, measures, and visuals to contrast the data across different JSON files.
• Email Subscriptions: Power BI offers the feature to regularly receive email updates for reports and dashboards. You can adjust the frequency of these emails to be daily, weekly, or triggered by data changes. This functionality allows you to stay informed with the most recent insights without the need to manually check Power BI.
• Alert Creation: Power BI also provides the capability to set up data-driven alerts, enabling you to receive notifications when your data surpasses predefined limits.

Here are several methods for retrieving Microsoft Fabric tenant settings via the REST API Python, PowerShell and Curl.

Provide the necessary parameters to the template file, save it as a PBIX file, and then publish it to the Power BI service.

Provide the Tenant ID, Client ID, and Client Secret for the service principal that can access the Tenant Settings. Also, specify the folder path where the exported snapshot files are stored, so they can be read and compared.