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Build ETL pipelines based on Vault CRM data in the Pentaho Data Integration tool.
The CData JDBC Driver for Vault CRM enables access to live data from data pipelines. Pentaho Data Integration is an Extraction, Transformation, and Loading (ETL) engine that data, cleanses the data, and stores data using a uniform format that is accessible.This article shows how to connect to Vault CRM data as a JDBC data source and build jobs and transformations based on Vault CRM data in Pentaho Data Integration.
Configure to Vault CRM Connectivity
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 Vault CRM JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.vaultcrm.jar
Fill in the connection properties and copy the connection string to the clipboard.
When you configure the JDBC URL, 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.
Below is a typical JDBC URL:
jdbc:vaultcrm:User=myuser;Password=mypassword;Server=localhost;Database=mydatabase;
Save your connection string for use in Pentaho Data Integration.
Connect to Vault CRM from Pentaho DI
Open Pentaho Data Integration and select "Database Connection" to configure a connection to the CData JDBC Driver for Vault CRM
- Click "General"
- Set Connection name (e.g. Vault CRM Connection)
- Set Connection type to "Generic database"
- Set Access to "Native (JDBC)"
- Set Custom connection URL to your Vault CRM connection string (e.g.
jdbc:vaultcrm:User=myuser;Password=mypassword;Server=localhost;Database=mydatabase;
- Set Custom driver class name to "cdata.jdbc.vaultcrm.VaultCRMDriver"
- Test the connection and click "OK" to save.
Create a Data Pipeline for Vault CRM
Once the connection to Vault CRM is configured using the CData JDBC Driver, you are ready to create a new transformation or job.
- Click "File" >> "New" >> "Transformation/job"
- Drag a "Table input" object into the workflow panel and select your Vault CRM connection.
- Click "Get SQL select statement" and use the Database Explorer to view the available tables and views.
- Select a table and optionally preview the data for verification.
At this point, you can continue your transformation or jb by selecting a suitable destination and adding any transformations to modify, filter, or otherwise alter the data during replication.
Free Trial & More Information
Download a free, 30-day trial of the CData JDBC Driver for Vault CRM and start working with your live Vault CRM data in Pentaho Data Integration today.