Integrate Zoom Data in Pentaho Data Integration

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 Zoom data as a JDBC data source and build jobs and transformations based on Zoom data in Pentaho Data Integration.

Configure to Zoom Connectivity

Start by setting the Profile connection property to the location of the Zoom Profile on disk (e.g. C:\profiles\Zoom.apip). Next, set the ProfileSettings connection property to the connection string for Zoom (see below).

Zoom API Profile Settings

To authenticate to Zoom, you can use the OAuth standard to connect to your own data or to allow other users to connect to their data.

First create an OAuth app. To do so, navigate to https://marketplace.zoom.us/develop/create and click Create under the OAuth section. Select whether or not the app will be for individual users or for the entire account, and uncheck the box to publish the app. Give the app a name and click Create. You will then be given your Client Secret and Client ID

After setting the following connection properties, you are ready to connect:

• AuthScheme: Set this to OAuth.
• InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage the process to obtain the OAuthAccessToken.
• OAuthClientID: Set this to the OAuth Client ID that is specified in your app settings.
• OAuthClientSecret: Set this to the OAuth Client Secret that is specified in your app settings.
• CallbackURL: Set this to the Redirect URI you specified in your app settings.

Built-in Connection String Designer

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

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:

Save your connection string for use in Pentaho Data Integration.

Connect to Zoom from Pentaho DI

Open Pentaho Data Integration and select "Database Connection" to configure a connection to the CData API Driver for JDBC

1. Click "General"
2. Set Connection name (e.g. Zoom Connection)
3. Set Connection type to "Generic database"
4. Set Access to "Native (JDBC)"
5. Set Custom connection URL to your Zoom connection string (e.g.
   jdbc:api:Profile=C:\profiles\Zoom.apip;Authscheme=OAuth;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;InitiateOAuth=GETANDREFRESH
6. Set Custom driver class name to "cdata.jdbc.api.APIDriver"
7. Test the connection and click "OK" to save.

Create a Data Pipeline for Zoom

Once the connection to Zoom is configured using the CData JDBC Driver, you are ready to create a new transformation or job.

1. Click "File" >> "New" >> "Transformation/job"
2. Drag a "Table input" object into the workflow panel and select your Zoom connection.
3. Click "Get SQL select statement" and use the Database Explorer to view the available tables and views.
4. 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 Zoom data in Pentaho Data Integration today.