![]() |
VOOZH | about |
This article shows how to use the CData JDBC Driver for Calendly to connect to Calendly from SAP BusinessObjects Business Intelligence applications. You will use the Information Design Tool to analyze Calendly data and create a universe on the CData JDBC Driver for Calendly. You will then connect to the universe from Web Intelligence.
Follow the steps below to create a connection to the Calendly JDBC data source in the Information Design Tool.
On the next page, set the Authentication Mode option to "Use specified username and password". Enter the username, password, and JDBC URL. The JDBC URL begins with jdbc:api: and is followed by a semicolon-separated list of connection properties.
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).
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.
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.
👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)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.
A typical JDBC URL is below:
jdbc:api:Profile=C:\profiles\Calendly.apip;ProfileSettings='APIKey=your_api_token';
You can use the JDBC connection to analyze Calendly data in the Information Design Tool.
To publish the universe to the CMS, you additionally need to publish the connection.
You can follow the steps below to create a universe on the JDBC driver. The universe in this example will be published to a repository, so it uses the published connection created in the previous step.
You can follow the steps below to publish the universe to the CMS.
You can use the published universe to connect to Calendly in Web Intelligence.
Connect to live data from Calendly with the API Driver
Connect to Calendly