Build Dashboards with Google Cloud Storage Data in DBxtra

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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 DBxtra.

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 DBxtra.

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 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 Cloud Storage Data

You are now ready to create a dashboard with Google Cloud Storage 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 Cloud Storage data. Thanks to the ODBC Driver for Google Cloud Storage, 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 Cloud Storage data.