Create Dataverse Virtual Table from SQL in Azure | Power Platform

Create your own Virtual Table in Dataverse by connecting to an external SQL table in Azure using Power Platform. Here's how:

• Begin by signing into Power Apps and create a new solution
• Click on the Data tab and choose Get Data
• Choose Azure SQL Database
• Provide your Azure SQL server name, the name of the database, and click on Authentication
• Select the type of authentication and enter relevant credentials
• Upon connecting, choose the tables you want to create Virtual Tables from
• Click Next and specify how to refresh the data
• Select either DirectQuery or Import mode for data refresh
• Configure any needed filters and click Next
• Review your selections and click Create
• Wait for Power Apps to create and synchronize the Virtual Table
• Once complete, use the Virtual Table in Power Apps and Power Automate like any other table
• Ensure data synchronization by checking the status and syncing errors in Dataverse

With the above steps, you can quickly connect to an external SQL table in Azure and create a Virtual Table in Dataverse that can be used seamlessly in Power Apps and Power Automate.

Discover the Power of Dataverse Virtual Tables

Virtual Tables from Dataverse can eliminate the need for multiple copies of data, minimizing data storage and maintenance requirements. They enable seamless integration of data from external sources into Power Apps and Power Automate, empowering users to utilize data in real time for agile decision-making. Dive deeper into the potential of Dataverse Virtual Tables for your organization!

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Learn about Create Dataverse Virtual Table from SQL in Azure | Power Platform

In order to connect to an external SQL table and create a virtual table in Dataverse in Azure, you will need to create a connection between the Dataverse and the external data source. Once this connection is established, you can then use Power Platform tools to create the virtual table. This will allow you to access the data from the external source without having to import it into Dataverse. The virtual table will appear within the Dataverse environment, and you can query and update it as needed.

In order to create the connection between the Dataverse and the external data source, you will need to use the Power Query Editor in Power Platform. This allows you to define the connection between the Dataverse and the external source, as well as define the data that you want to be included in the virtual table. After the connection is established, you can then create the virtual table in Dataverse.

Once the virtual table is created, you can then query it using SQL commands. This allows you to access the data from the external source without having to import it into Dataverse. You can also update the data in the virtual table using SQL commands, which will then be reflected in the external source. This allows you to keep your data up to date without having to manually sync the data between the two.

Creating a virtual table in Dataverse from an external SQL table is a great way to access and update data without having to import it into Dataverse. By using Power Platform tools, you can easily create the connection and define the data that you want to include in the virtual table. Once the connection is established, you can query and update the data from the external source without having to manually sync the data.

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Keywords

Create Dataverse Virtual Table, Power Platform, Connect External SQL, Azure, Dataverse.