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Integrate Calendly Data in Pentaho Data Integration
Build ETL pipelines based on Calendly data in the Pentaho Data Integration tool.
The CData API Driver for JDBC 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 Calendly data as a JDBC data source and build jobs and transformations based on Calendly data in Pentaho Data Integration.
Configure to Calendly Connectivity
Start by setting the Profile connection property to the location of the Calendly Profile on disk (e.g. C:\profiles\CalendlyProfile.apip). Next, set the ProfileSettings connection property to the connection string for Calendly (see below).
Calendly API Profile Settings
To authenticate to Calendly, provide an API Key. The Calendly API Key, can be found in your Calendly account, under 'Integrations' > 'API & Webhooks' > 'Generate New Token'. Set the APIKey in the ProfileSettings connection property.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Calendly JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.api.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:api:Profile=C:\profiles\Calendly.apip;ProfileSettings='APIKey=your_api_token';
Save your connection string for use in Pentaho Data Integration.
Connect to Calendly from Pentaho DI
Open Pentaho Data Integration and select "Database Connection" to configure a connection to the CData API Driver for JDBC
- Click "General"
- Set Connection name (e.g. Calendly Connection)
- Set Connection type to "Generic database"
- Set Access to "Native (JDBC)"
- Set Custom connection URL to your Calendly connection string (e.g.
jdbc:api:Profile=C:\profiles\Calendly.apip;ProfileSettings='APIKey=your_api_token'; - Set Custom driver class name to "cdata.jdbc.api.APIDriver"
- Test the connection and click "OK" to save.
Create a Data Pipeline for Calendly
Once the connection to Calendly 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 Calendly 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 API Driver for JDBC and start working with your live Calendly data in Pentaho Data Integration today.
