Create Datasets from Google Translate in Domo Workbench and Build Visualizations of Google Translate Data in Domo

Domo helps you manage, analyze, and share data across your entire organization, enabling decision makers to identify and act on strategic opportunities. Domo Workbench provides a secure, client-side solution for uploading your on-premise data to Domo. The CData ODBC Driver for Google Translate links Domo Workbench to operational Google Translate data. You can build datasets from Google Translate data using standard SQL queries in Workbench and then create real-time visualizations of Google Translate data in the Domo service.

The CData ODBC Drivers offer unmatched performance for interacting with live Google Translate data in Domo due to optimized data processing built into the driver. When you issue complex SQL queries from Domo to Google Translate, the driver pushes supported SQL operations, like filters and aggregations, directly to Google Translate and utilizes the embedded SQL Engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze Google Translate data using native Domo data types.

Connect to Google Translate as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

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.

After creating a DSN, you will need to create a dataset for Google Translate in Domo Workbench using the Google Translate DSN and build a visualization in the Domo service based on the dataset.

Build a Dataset for Google Translate Data

You can follow the steps below to build a dataset based on a table in Google Translate in Domo Workbench using the CData ODBC Driver for Google Translate.

1. Open Domo Workbench and, if you have not already, add your Domo service server to Workbench. In the Accounts submenu, click Add New, type in the server address (i.e., domain.domo.com) and click through the wizard to authenticate. 👁 Connecting to the Domo Service.
   
2. In the DataSet Jobs submenu, click Add New.
3. Name the dataset job (i.e., ODBC Google Translate SupportedLanguages), select ODBC Connection Provider as the transport method, and click through the wizard. 👁 Configuring the DataSet Job.
   
4. In the newly created DataSet Job, navigate to Source and click to configure the settings.
5. Select System DSN for the Connection Type.
6. Select the previously configured DSN (CData API Sys) for the System DSN.
7. Click to validate the configuration. 👁 Configuring the Source Settings.
   
8. Below the settings, set the Query to a SQL query:

   SELECT * FROM SupportedLanguages

   NOTE: By connecting to Google Translate data using an ODBC driver, you simply need to know SQL in order to get your data, circumventing the need to know Google Translate-specific APIs or protocols.
9. Click preview. 👁 Querying Google Translate Data.
   
10. Check over the generated schema, add any transformations, then save and run the dataset job. 👁 Save and Run the Configured DataSet Job (Salesforce is shown).
    

With the dataset job run, the dataset will be accessible from the Domo service, allowing you to build visualizations, reports, and more based on Google Translate data.

Create Data Visualizations

With the DataSet Job saved and run in Domo Workbench, we are ready to build visualizations of the Google Translate data in the Domo service.

1. Navigate to the Data Center. 👁 Accessing the Data Center (Salesforce is shown).
   
2. In the data warehouse, select the ODBC data source and drill down to our new dataset. 👁 Selecting the Google Translate Dataset (Salesforce is shown).
   
3. With the dataset selected, choose to create a visualization.
4. In the new card:
   • Drag a Dimension to the X Value.
   • Drag a Measure to the Y Value.
   • Choose a Visualization.
   👁 Visualizing Google Translate Data in Domo (Salesforce is shown).
   

With the CData ODBC Driver for Google Translate, you can build custom datasets based on Google Translate data using only SQL in Domo Workbench and then build and share visualizations and reports through the Domo service.