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Connect Microsoft Dataverse Data with Talend Cloud Data Management Platform using the CData JDBC Driver for Microsoft Dataverse.
Qlik's Talend Cloud Data Management Platform supports various data environments, enabling analytics for smarter decisions, operational data sharing, data and application modernization, and establishing data excellence for risk reduction. When paired with the CData JDBC Driver for Microsoft Dataverse, you can improve data integration, quality, and governance for your Microsoft Dataverse Data. This article shows how you can easily integrate to Microsoft Dataverse using a CData JDBC Driver in Talend Cloud Data Management, and then view the data for simultaneous use in your workflow.
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
Prerequisites
Before connecting the CData JDBC Driver to view and work with your data in Talend Cloud Data Management Platform, make sure to download and install the latest version of Talend Studio on your system. Also, ensure that you have the required prerequisites.
- A Talend Cloud Data Management account with appropriate permissions.
- The CData JDBC Driver for Microsoft Dataverse, which can be downloaded from the CData website.
Connect to Microsoft Dataverse in Talend as a JDBC data source
Access Talend Data Management Cloud
- Run the Talend Cloud Data Management Platform installed on your local system and click on Other Login Mode.
- Click on Manage Connections. Set Repository to "Local" and enter the Name, Description and User E-mail in the respective spaces. Set the Workspace path and click on OK.
- Now, select the Create a new project radio button to add a new project name and click on Create.
- The new project should appear under the Select an existing project section. Click on Open. The Talend Cloud Data Management Platform workspace opens up.
Create a new connection
- In the navigation pane, locate and expand the Metadata dropdown. Right-click on Db Connections and select Create Connection.
- Search for and select 'JDBC' in the Find section of the Database Connection window. Then, click on Finish.
- Enter the Name, Purpose and Description of the new database in Talend where you need to load the Microsoft Dataverse data. Click on Next.
- Generate a JDBC URL for connecting to Microsoft Dataverse, beginning with jdbc:cds: followed by a series of semicolon-separated connection string properties.
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.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Microsoft Dataverse JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.cds.jar
Fill in the connection properties and copy the connection string to the clipboard.
A typical JDBC URL is below:
jdbc:cds:OrganizationUrl=https://myaccount.crm.dynamics.com/InitiateOAuth=GETANDREFRESH
Enter the JDBC URL copied from CData JDBC Driver for Microsoft Dataverse in Edit new database.
- Click on the "(+) Add" button under Drivers. A 'newLine' will appear in the Drivers board. Click on (...) at the end of the new line, select the Install a new module radio button, and click on (...) to add the path to the JAR file, located in the 'lib' subfolder of the installation directory. Click on OK.
- Select the Driver Class as cdata.jdbc.cds (JAR file obtained from your installation directory given in the previous step).
Test the new connection
- Click on Check Connection. If the entered details are correct, a "Connection successful" confirmation prompt will appear. Click on "OK" and "Finish".
- Once the connection is established, right-click on the newly created connection and select Retrieve Schema. You can use the filters as well to retrieve the data as per your requirements. Click on Next.
- Expand the "CData" catalog in the Schema window and select the tables you want to import from the Microsoft Dataverse schema. Click on Next.
- In the next step, select the columns you want to view from the table and click on Finish.
- All the selected tables from the Microsoft Dataverse schema are now populated under the Table Schemas section of the JDBC connection.
- Right-click on any of the selected tables and click on Data Viewer to preview the data from the data source.
Get Started Today
Download a free, 30-day trial of the CData JDBC Driver for Microsoft Dataverse and integrate Microsoft Dataverse data into Talend Cloud Data Management Platform. Reach out to our Support Team if you have any questions.