Connect to Google Translate Data in RapidMiner

This article shows how you can easily integrate the CData JDBC driver for Google Translate into your processes in RapidMiner. This article uses the CData JDBC Driver for Google Translate to transfer Google Translate data to a process in RapidMiner.

Connect to Google Translate in RapidMiner as a JDBC Data Source

You can follow the procedure below to establish a JDBC connection to Google Translate:

1. Add a new database driver for Google Translate: Click Connections -> Manage Database Drivers.
2. In the resulting wizard, click the Add button and enter a name for the connection.
3. Enter the prefix for the JDBC URL:

   jdbc:api:
   

4. Enter the path to the cdata.jdbc.api.jar file, located in the lib subfolder of the installation directory.
5. Enter the driver class:

   cdata.jdbc.api.APIDriver
   

   👁 The JDBC driver configuration. (Salesforce is shown.)
   
6. Create a new Google Translate connection: Click Connections -> Manage Database Connections.
7. Enter a name for your connection.
8. For Database System, select the Google Translate driver you configured previously.
9. Enter your connection string in the Host box.

   Authentication

   Google Cloud Translation API requires OAuth 2.0 authentication to ensure secure access to translation services, datasets, glossaries, and adaptive MT resources. This authentication method allows you to securely connect to your Google Cloud project and manage translation resources with proper authorization.

   OAuth 2.0 Setup and Configuration

   Step 1: Create Google Cloud Project and Enable API

   To set up OAuth authentication:

   1. Visit the Google Cloud Console
   2. Create a new project or select an existing project
   3. Note down your Project ID (required for all API calls)
   4. Navigate to "APIs & Services" > "Library"
   5. Search for and enable the "Cloud Translation API"
   6. Go to "APIs & Services" > "Credentials"
   7. Click "Create Credentials" and select "OAuth Client ID"
   8. Configure the OAuth consent screen if prompted
   9. Select "Desktop application" or "Web application" as appropriate
   10. Set the authorized redirect URI (CallbackURL)
   11. Copy the Client ID and Client Secret for use in your connection

   Required Connection Properties

   • AuthScheme: Set this to OAuth (required)
   • OAuthClientId: Client ID from Google Cloud Console (required)
   • OAuthClientSecret: Client secret from Google Cloud Console (required)
   • CallbackURL: Redirect URI specified in your OAuth application (required)
   • InitiateOAuth: Set to GETANDREFRESH for automatic token management (recommended)
   • ProjectId: Your Google Cloud project ID or project number (required for queries)

   Required OAuth Scopes

   The Google Cloud Translation API Profile requires the following OAuth scope:

   • https://www.googleapis.com/auth/cloud-translation - Full access to Cloud Translation API resources including translation, datasets, glossaries, and adaptive MT

   Built-in Connection String Designer

   For assistance in constructing the JDBC URL, use the connection string designer built into the Google Translate 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.)
   

   A typical connection string is below:

   Profile=C:\profiles\GoogleTranslate.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;
   

10. Enter your username and password if necessary. 👁 The connection to the JDBC data source. (Salesforce is shown.)
    

You can now use your Google Translate connection with the various RapidMiner operators in your process. To retrieve Google Translate data, drag the Retrieve operator from the Operators view. 👁 A Retrieve operation to select data. (Salesforce is shown.)
With the Retrieve operator selected, you can then define which table to retrieve in the Parameters view by clicking the folder icon next to the "repository entry." In the resulting Repository Browser, you can expand your connection node to select the desired example set.

Finally, wire the output to the Retrieve process to a result, and run the process to see the Google Translate data.