Create an SAP BusinessObjects Universe on the CData JDBC Driver for Google Translate

This article shows how to use the CData JDBC Driver for Google Translate to connect to Google Translate from SAP BusinessObjects Business Intelligence applications. You will use the Information Design Tool to analyze Google Translate data and create a universe on the CData JDBC Driver for Google Translate. You will then connect to the universe from Web Intelligence.

Create the JDBC Connection to Google Translate

Follow the steps below to create a connection to the Google Translate JDBC data source in the Information Design Tool.

1. Copy the CData JAR and .lic file into the following subfolder in the installation directory for BusinessObjects: dataAccess\connectionServer\jdbc\drivers\jdbc. The CData JAR is located in the lib subfolder of the installation directory.
2. Right-click your project and click New -> New Relational Connection.
3. In the wizard that results, click Generic -> Generic JDBC datasource -> JDBC Drivers.
4. On the next page of the wizard enter the connection details.

5. 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.

   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.)
   

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

6. Enter the driver class: cdata.jdbc.api.APIDriver
7. Finish the wizard with the default values for connection pooling and custom parameters.

Analyze Google Translate Data in the Information Design Tool

You can use the JDBC connection to analyze Google Translate data in the Information Design Tool.

1. In the Local Projects view, double-click the connection (the .cnx file) to open the Google Translate data source.
2. On the Show Values tab, you can load table data and enter SQL queries. To view table data, expand the node for the table, right-click the table, and click Show Values. Values will be displayed in the Raw Data tab.
3. On the Analysis tab, you can then analyze data by dragging and dropping columns onto the axes of a chart.

Publish the Local Connection

To publish the universe to the CMS, you additionally need to publish the connection.

1. In the Local Projects view, right-click the connection and click Publish Connection to a Repository.
2. Enter the host and port of the repository and connection credentials.
3. Select the folder where the connection will be published.
4. In the success dialog that results, click Yes to create a connection shortcut.

Create a Universe on the JDBC Driver for Google Translate

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.

1. In the Information Design Tool, click File->New Universe.
2. Select your project.
3. Select the option to create the universe on a relational data source.
4. Select the shortcut to the published connection.
5. Enter a name for the Data Foundation.
6. Import tables and columns that you want to access as objects.
7. Enter a name for the Business Layer.

Publish the Universe

You can follow the steps below to publish the universe to the CMS.

1. In the Local Projects view, right-click the business layer and click Publish -> To a Repository.
2. In the Publish Universe dialog, enter any integrity checks before importing.
3. Select or create a folder on the repository where the universe will be published.

Query Google Translate Data in Web Intelligence

You can use the published universe to connect to Google Translate in Web Intelligence.

1. Copy the cdata.jdbc.api.lic file to the following subfolder in the BusinessObjects installation directory: \dataAccess\connectionServer\jdbc\drivers\jdbc. The license file is located in the lib subfolder of the installation directory.
2. Open Web Intelligence from the BusinessObjects launchpad and create a new document.
3. Select the Universe option for the data source.
4. Select the Google Translate universe. This opens a Query Panel. Drag objects to the Result Objects pane to use them in the query.