Build Talkdesk-Connected ETL Processes in Google Data Fusion

Google Data Fusion allows users to perform self-service data integration to consolidate disparate data. Uploading the CData JDBC Driver for Talkdesk enables users to access live Talkdesk data from within their Google Data Fusion pipelines. While the CData JDBC Driver enables piping Talkdesk data to any data source natively supported in Google Data Fusion, this article explains how to pipe data from Talkdesk to Google BigQuery,

Upload the CData JDBC Driver for Talkdesk to Google Data Fusion

Upload the CData JDBC Driver for Talkdesk to your Google Data Fusion instance to work with live Talkdesk data. Due to the naming restrictions for JDBC drivers in Google Data Fusion, create a copy or rename the JAR file to match the following format driver-version.jar. For example: cdatatalkdesk-2020.jar

1. Open your Google Data Fusion instance
2. Click the to add an entity and upload a driver
3. On the "Upload driver" tab, drag or browse to the renamed JAR file.
4. On the "Driver configuration" tab:
   • Name: Create a name for the driver (cdata.jdbc.talkdesk) and make note of the name
   • Class name: Set the JDBC class name: (cdata.jdbc.talkdesk.TalkdeskDriver)
   
5. Click "Finish"

Connect to Talkdesk Data in Google Data Fusion

With the JDBC Driver uploaded, you are ready to work with live Talkdesk data in Google Data Fusion Pipelines.

1. Navigate to the Pipeline Studio to create a new Pipeline
2. From the "Source" options, click "Database" to add a source for the JDBC Driver
3. Click "Properties" on the Database source to edit the properties

   NOTE: To use the JDBC Driver in Google Data Fusion, you will need a license (full or trial) and a Runtime Key (RTK). For more information on obtaining this license (or a trial), contact our sales team.

   • Set the Label
   • Set Reference Name to a value for any future references (i.e.: cdata-talkdesk)
   • Set Plugin Type to "jdbc"
   • Set Connection String to the JDBC URL for Talkdesk. For example:
     
     jdbc:talkdesk:RTK=5246...;AccountName=myAccount;Region=US;OAuthClientId=myClientId;OAuthClientSecret=myClientSecret;

     Talkdesk uses the OAuth 2.0 Client Credentials grant. There is no browser-based authorization step and no callback URL.

     Set the following connection properties:

     • AccountName: The name of your Talkdesk account.
     • Region: The region where your Talkdesk instance is deployed. Supported values are US (default), EU, CA, AU, UK, and FedRamp.
     • OAuthClientId: The Client Id assigned when you registered your custom OAuth application.
     • OAuthClientSecret: The Client Secret assigned to your custom OAuth application.

     Creating a Custom OAuth Application

     1. Log in to your Talkdesk account and select OAuth Clients from the navigation menu.
     2. Click Create OAuth Client and give the client a descriptive name.
     3. Set Grant Type to Client Credentials.
     4. Click Add scopes and select the scopes for the data you want to access.
     5. Click Create and copy the Client Id and Client Secret.

     When you connect, the driver automatically requests an access token from Talkdesk, caches it, and refreshes it when it expires. Make sure the scopes selected for the application match the views you plan to query, or the token request can fail.

     Built-in Connection String Designer

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

     
           java -jar cdata.jdbc.talkdesk.jar
           

     Fill in the connection properties and copy the connection string to the clipboard.

     
   • Set Import Query to a SQL query that will extract the data you want from Talkdesk, i.e.:
     SELECT * FROM Users
   
4. From the "Sink" tab, click to add a destination sink (we use Google BigQuery in this example)
5. Click "Properties" on the BigQuery sink to edit the properties
   • Set the Label
   • Set Reference Name to a value like talkdesk-bigquery
   • Set Project ID to a specific Google BigQuery Project ID (or leave as the default, "auto-detect")
   • Set Dataset to a specific Google BigQuery dataset
   • Set Table to the name of the table you wish to insert Talkdesk data into
   

With the Source and Sink configured, you are ready to pipe Talkdesk data into Google BigQuery. Save and deploy the pipeline. When you run the pipeline, Google Data Fusion will request live data from Talkdesk and import it into Google BigQuery.

While this is a simple pipeline, you can create more complex Talkdesk pipelines with transforms, analytics, conditions, and more. Download a free, 30-day trial of the CData JDBC Driver for Talkdesk and start working with your live Talkdesk data in Google Data Fusion today.