Build Dashboards with Google Translate Data in DBxtra

The CData ODBC driver for Google Translate enables access to live data from Google Translate under the ODBC standard, allowing you work with Google Translate data in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to connect to Google Translate data as a generic ODBC Data Provider and create charts, reports, and dashboards based on Google Translate data in DBxtra.

Connect to Google Translate Data

1. If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can configure the DSN using the built-in Microsoft ODBC Data Source Administrator. This is also the last step of the driver installation. See the "Getting Started" chapter in the Help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.
   
   

   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

   When you configure the DSN, 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.

2. Open the DBxtra application and in the New menu click Project and name the Project.
3. Select ODBC Connection as the Data Connection Type.
4. Click the browse option () for the Data Source.
5. In the Data Link Properties window, select Microsoft OLE DB Provider for ODBC Drivers on the Provider tab.
6. On the Connection tab, select the Data Source Name and the initial catalog to use (CData).
7. Name the Connection and select the appropriate User Groups.
8. Double-click the Connection from within the Project to connect to the data.

Create a Dashboard with Google Translate Data

You are now ready to create a dashboard with Google Translate data.

1. Right-click Report Objects under the Project and select New Report Object.
2. In the new Report Object, click the link to create the Query.
3. In the Select Data Connection window, select the newly created data connection.
4. On the Query tab, expand the connection objects and select the Tables, Views, and specific columns you wish to include in your dashboard. You can specify search requirements and even create complex queries which include JOINs and aggregations.
5. On the Dashboard tab, select the visualizations and features for your dashboard. Assign the data values from the query to the appropriate fields for the Dashboards items (Values, Series, etc.)

With a new Dashboard created, you are ready to begin analysis of Google Translate data. Thanks to the ODBC Driver for Google Translate, you can refresh the Dashboard and immediately see any changes made at the source. In the same way, you can create and view Reports with live, up-to-date Google Translate data.