Build Dashboards with Google Cloud Storage Data in Dundas BI

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Google Cloud Storage ODBC Driver

The Google Cloud Storage ODBC Driver is a powerful tool that allows you to connect with live data from Google Cloud Storage, directly from any applications that support ODBC connectivity.

Access Google Cloud Storage data like you would a database.



Create dynamic dashboards and perform analytics based on Google Cloud Storage data in Dundas BI.

The CData ODBC Driver for Google Cloud Storage enables access to live data from Google Cloud Storage under the ODBC standard, allowing you work with Google Cloud Storage 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 Cloud Storage data as a generic ODBC Data Provider and create charts, reports, and dashboards based on Google Cloud Storage data in Dundas BI.

Connect to Google Cloud Storage 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.

    Authenticate with a User Account

    You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.

    When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes

    Authenticate with a Service Account

    Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.

    You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:

    • InitiateOAuth: Set this to GETANDREFRESH.
    • OAuthJWTCertType: Set this to "PFXFILE".
    • OAuthJWTCert: Set this to the path to the .p12 file you generated.
    • OAuthJWTCertPassword: Set this to the password of the .p12 file.
    • OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
    • OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
    • OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
    • ProjectId: Set this to the Id of the project you want to connect to.

    The OAuth flow for a service account then completes.

    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 Dundas BI interface, open the menu, and click New Data Connector.
  3. Configure the Dundas BI Data Connector:
    • Name the Data Connector.
    • Select "ODBC generic" as the Data Provider.
    • Check the "Use System DSN" checkbox.
    • Select the appropriate System DSN.

Add Google Cloud Storage Data to a Dashboard

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

  1. Navigate to the Home page.
  2. Click Explore Data.
  3. Expand the appropriate Data Connector.
  4. Drag the relevant data from the Connector to the panel.
    • You can select an entire "table" to add, but you may need to remove Measures/Rows from the Metric Set to build an appropriate visualization. Alternatively, you can select only the fields you wish to include in the visualization.
    • With the fields selected, you can add any filters or conditions on the Measures and Rows, further customizing the visualization.
  5. Click Re-visualize from the menu bar and select the appropriate visualization for the data.
  6. Click Add To New Dashboard to add the visualization to a new dashboard.
  7. Configure the dashboard, creating dynamic visualizations of Google Cloud Storage data.