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Connect to Veeva Data in Aqua Data Studio

Access Veeva data from tools in Aqua Data Studio such as the Visual Query Builder and the Table Data Editor.

The CData JDBC Driver for Veeva integrates Veeva data with wizards and analytics in IDEs like Aqua Data Studio. This article shows how to connect to Veeva data through the connection manager and execute queries.

Create a JDBC Data Source

You can use the connection manager to define connection properties and save them in a new JDBC data source. The Veeva data source can then be accessed from Aqua Data Studio tools.

  1. In Aqua Data Studio, select Register Server from the Servers menu.
  2. In the Register Server form, select the 'Generic - JDBC' connection.
  3. Enter the following JDBC connection properties:
    • Name: Enter a name for the data source; for example, Veeva.
    • Driver Location: Click the Browse button and select the cdata.jdbc.veeva.jar file, located in the lib subfolder of the installation directory.
    • Driver: Enter the Driver's class name, cdata.jdbc.veeva.VeevaDriver.
    • URL: Enter the JDBC URL, which starts with jdbc:veeva: and is followed by a semicolon-separated list of connection properties.

      You are ready to connect after specifying the following connection properties:

      • Url: The host you see in the URL after you login to your account. For example: https://my-veeva-domain.veevavault.com
      • User: The username you use to login to your account.
      • Password: The password you use to login to your account.

      Built-in Connection String Designer

      For assistance in constructing the JDBC URL, use the connection string designer built into the Veeva JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

      java -jar cdata.jdbc.veeva.jar

      Fill in the connection properties and copy the connection string to the clipboard.

      A typical JDBC URL is below:

      jdbc:veeva:User=myuser;Password=mypassword;Server=localhost;Database=mydatabase;

Query Veeva Data

You can now query the tables exposed.