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Connect to live data from Calendly with the API Driver

Connect to Calendly

Integrate Calendly Data in Your Informatica Cloud Instance



Use CData JDBC drivers with the Informatica Cloud Secure Agent to access live Calendly data from Informatica Cloud.

Informatica Cloud allows you to perform extract, transform, and load (ETL) tasks in the cloud. With the Cloud Secure Agent and the CData API Driver for JDBC, you get live access to Calendly data, directly within Informatica Cloud. In this article, we will walk through downloading and registering the Cloud Secure Agent, connecting to Calendly through the JDBC Driver and generating a mapping that can be used in any Informatica Cloud process.

Informatica Cloud Secure Agent

To work with the Calendly data through the JDBC Driver, install the Cloud Secure Agent.

  1. Navigate to the Administrator page in Informatica Cloud
  2. Select the Runtime Environments tab
  3. Click "Download Secure Agent"
  4. Make note of the Install Token
  5. Run the installer on the client machine and register the Cloud Secure Agent with your username and install token

NOTE: It may take some time for all of the Cloud Secure Agent services to get up and running.

Connecting to the Calendly JDBC Driver

With the Cloud Secure Agent installed and running, you are ready to connect to Calendly through the JDBC Driver. Start by clicking the Connections tab and clicking New Connection. Fill in the following properties for the connection:

  • Connection Name: Name your connection (i.e.: CData Calendly Connection)
  • Type: Select "JDBC_IC (Informatica Cloud)"
  • Runtime Environment: Select the runtime environment where you installed the Cloud Secure Agent
  • JDBC Connection URL: Set this to the JDBC URL for Calendly. Your URL will look similar to the following:

    jdbc:api:Profile=C:\profiles\Calendly.apip;ProfileSettings='APIKey=your_api_token';

    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, you will need to 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.

  • JDBC Jar Directory: Set this to the lib folder in the installation location for the JDBC Driver (on Windows, typically C:\Program Files\CData[product_name]\)
  • Driver Class: Set this to cdata.jdbc.api.APIDriver
  • Username: Set this to a placeholder value (since Calendly does not require a username)
  • Password: Set this to a placeholder value (since Calendly does not require a password)

Create a Mapping for Calendly Data

With the connection to Calendly configured, we can now access Calendly data in any Informatica process. The steps below walk through creating a mapping for Calendly to another data target.

  1. Navigate to the Data Integration page
  2. Click New.. and select Mapping from the Mappings tab
  3. Click the Source Object and in the Source tab, select the Connection and set the Source Type
  4. Click "Select" to choose the table to map
  5. In the Fields tab, select the fields from the Calendly table to map
  6. Click the Target object and configure the Target source, table and fields. In the Field Mapping tab, map the source fields to the target fields.

With the mapping configured, you are ready to start integrating live Calendly data with any of the supported connections in Informatica Cloud. Download a free, 30-day trial of the CData API Driver for JDBC and start working with your live Calendly data in Informatica Cloud today.