Use the CData JDBC Driver for Google Translate in MicroStrategy Web

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Connect to Google Translate data in MicroStrategy Web using the CData JDBC Driver for Google Translate.

MicroStrategy is an analytics and mobility platform that enables data-driven innovation. When you pair MicroStrategy with the CData JDBC Driver for Google Translate, you gain database-like access to live Google Translate data from MicroStrategy, expanding your reporting and analytics capabilities. In this article, we walk through adding Google Translate as an external data source in MicroStrategy Web and creating a simple visualization of Google Translate data.

The CData JDBC driver offers unmatched performance for interacting with live Google Translate data in MicroStrategy due to optimized data processing built into the driver. When you issue complex SQL queries from MicroStrategy 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 MicroStrategy data types.

Connect to and Visualize Google Translate Data using MicroStrategy Web

You can connect to Google Translate in MicroStrategy Web by adding a data source based on the CData JDBC Driver for Google Translate.* Before you begin, you will need install the JDBC Driver for Google Translate on the machine hosting the MicroStrategy Intelligence Server that your instance of MicroStrategy Web is connected to. Once you have created a data source you can build dynamic visualizations of Google Translate data in MicroStrategy Web.

  1. Open MicroStrategy Web and select your project.
  2. Click Add External Data, select Databases, and use Select Tables as the Import Option.
  3. In the Import from Tables wizard, click to add a new Data Source.
  4. Select Generic in the Database menu and select Generic DBMS in the Version menu.
  5. Click the link to show the connection string and opt to edit the connection string. In the Driver menu, select MicroStrategy Cassandra ODBC Driver (MicroStrategy requires a certified driver to interface through JDBC, the actual driver will not be used).
  6. Set the connection string to the following:
    JDBC;MSTR_JDBC_JAR_FOLDER=PATH\TO\JAR\;DRIVER=cdata.jdbc.api.APIDriver;URL={jdbc:api:Profile=C:\profiles\GoogleTranslate.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;};
    

    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.

  7. Right-click on the new data source, and choose Edit catalog options.
  8. Edit the SQL Statement to SELECT * FROM SYS_SCHEMAS to read the metadata from the JDBC Driver.
  9. Select the new data source to view the available tables. You may need to manually click the search icon in the Available Tables section to see the tables.
  10. Drag tables into the pane to import them. Note: Since we create a live connection, we can import whole tables and utilize the filtering and aggregation features native to the MicroStrategy products to customize our datasets.
  11. Click Finish, choose to the option to connect live, save the query, and choose the option to create a new dossier. Live connections are possible and effective, thanks to high-performance data processing native to CData JDBC drivers.
  12. Choose a visualization, choose fields to display and apply any filters to create a new visualization of Google Translate data. Data types are discovered automatically through dynamic metadata discovery. Where possible, the complex queries generated by the filters and aggregations will be pushed down to Google Translate, while any unsupported operations (which can include SQL functions and JOIN operations) will be managed client-side by the CData SQL engine embedded in the driver.
  13. Once you have finished configuring the dossier, click File -> Save.

Using the CData JDBC Driver for Google Translate in MicroStrategy Web, you can easily create robust visualizations and reports on Google Translate data. Read our other articles on connecting to Google Translate in MicroStrategy and connecting to Google Translate in MicroStrategy Desktop for more examples.


Note: Connecting using a JDBC Driver requires a 3- or 4-Tier Architecture.

Ready to get started?

Connect to live data from Google Translate with the API Driver

Connect to Google Translate