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Get the Report →Build Dashboards with Microsoft Dataverse Data in DBxtra
Create dynamic dashboards and perform analytics based on Microsoft Dataverse data in DBxtra.
The CData ODBC driver for Microsoft Dataverse enables access to live data from Microsoft Dataverse under the ODBC standard, allowing you work with Microsoft Dataverse data in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to connect to Microsoft Dataverse data as a generic ODBC Data Provider and create charts, reports, and dashboards based on Microsoft Dataverse data in DBxtra.
About Microsoft Dataverse Data Integration
CData provides the easiest way to access and integrate live data from Microsoft Dataverse (formerly the Common Data Service). Customers use CData connectivity to:
- Access both Dataverse Entities and Dataverse system tables to work with exactly the data they need.
- Authenticate securely with Microsoft Dataverse in a variety of ways, including Azure Active Directory, Azure Managed Service Identity credentials, and Azure Service Principal using either a client secret or a certificate.
- Use SQL stored procedures to manage Microsoft Dataverse entities - listing, creating, and removing associations between entities.
CData customers use our Dataverse connectivity solutions for a variety of reasons, whether they're looking to replicate their data into a data warehouse (alongside other data sources)or analyze live Dataverse data from their preferred data tools inside the Microsoft ecosystem (Power BI, Excel, etc.) or with external tools (Tableau, Looker, etc.).
Getting Started
Connect to Microsoft Dataverse Data
- If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can configure the DSN using the built-in Microsoft ODBC Data Source Administrator. This is also the last step of the driver installation. See the "Getting Started" chapter in the Help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.
You can connect without setting any connection properties for your user credentials. Below are the minimum connection properties required to connect.
- InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to avoid repeating the OAuth exchange and manually setting the OAuthAccessToken.
- OrganizationUrl: Set this to the organization URL you are connecting to, such as https://myorganization.crm.dynamics.com.
- Tenant (optional): Set this if you wish to authenticate to a different tenant than your default. This is required to work with an organization not on your default Tenant.
When you connect the Common Data Service OAuth endpoint opens in your default browser. Log in and grant permissions. The OAuth process completes automatically.
When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
- Open the DBxtra application and in the New menu click Project and name the Project.
- Select ODBC Connection as the Data Connection Type.
- Click the browse option () for the Data Source.
- In the Data Link Properties window, select Microsoft OLE DB Provider for ODBC Drivers on the Provider tab.
- On the Connection tab, select the Data Source Name and the initial catalog to use (CData).
- Name the Connection and select the appropriate User Groups.
- Double-click the Connection from within the Project to connect to the data.
Create a Dashboard with Microsoft Dataverse Data
You are now ready to create a dashboard with Microsoft Dataverse data.
- Right-click Report Objects under the Project and select New Report Object.
- In the new Report Object, click the link to create the Query.
- In the Select Data Connection window, select the newly created data connection.
- On the Query tab, expand the connection objects and select the Tables, Views, and specific columns you wish to include in your dashboard. You can specify search requirements and even create complex queries which include JOINs and aggregations.
- On the Dashboard tab, select the visualizations and features for your dashboard. Assign the data values from the query to the appropriate fields for the Dashboards items (Values, Series, etc.)
With a new Dashboard created, you are ready to begin analysis of Microsoft Dataverse data. Thanks to the ODBC Driver for Microsoft Dataverse, you can refresh the Dashboard and immediately see any changes made at the source. In the same way, you can create and view Reports with live, up-to-date Microsoft Dataverse data.