Visualize Google Translate Data in Sisense

Sisense lets you join, analyze, and picture data to make more intelligent business decisions and craft effective strategies. The CData API Driver for JDBC makes it easy to integrate with Google Translate data in Sisense. This article shows how to create an ElastiCube that connects to Google Translate data and use the ElastiCube to visualize Google Translate data in Sisense.

Configure the Connection to Google Translate

Before creating the ElastiCube, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData API Driver for JDBC 20XX\lib) or copy the jar file (cdata.jdbc.api.API.jar) to a new folder in the Sisense JDBC driver directory (typically C:\ProgramData\Sisense\DataConnectors\jdbcdrivers).

1. In the Data page of the Sisense application, create a new ElastiCube (or open an existing one).
2. In the Model Editor, click "+ Data" to open the Add Data dialog box.
3. Click Generic JDBC to open the JDBC settings.
4. Set the connection string property to the JDBC URL for Google Translate, adding required 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.

   

   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 example follows:

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

5. Set the JDBC JARs folder property to the location of the CData JDBC Driver JAR file (see above).
6. Set the driver's class name to the class name for the JDBC Driver: cdata.jdbc.api.APIDriver
7. Leave the username and password properties blank.
8. Click Next.

Add Google Translate Data to an ElastiCube

Once you are connected to Google Translate, you can add views to your ElastiCubes.

1. From the Tables list, select the tables and/or views you wish to work with.
2. (Optional) Click "+" to customize the data you want to import with SQL.
3. Click Done.
4. Click Build to build the ElastiCube for analytics.

Visualize Google Translate Data

With Google Translate tables added to your ElastiCube, you can perform analytics on your Google Translate data.

1. Navigate to the Analytics page of the Sisense application
2. Select a Dashboard (or create a new one)
3. Select your Data Source and click Create
4. Click "+ Select Data" and choose fields to add to your visualization.

With the CData API Driver for JDBC, you can access Google Translate data right in Sisense for powerful visualization and analytics. Download a free, 30-day trial and start working with Google Translate data in Sisense today!