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

Ready to get started?

Download for a free trial:

Download Now

Learn more:

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.



Use the CData ODBC Driver for Google Cloud Storage to create datasets from Google Cloud Storage data in Domo Workbench and then build visualizations in the Domo service.

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 Cloud Storage links Domo Workbench to operational Google Cloud Storage data. You can build datasets from Google Cloud Storage data using standard SQL queries in Workbench and then create real-time visualizations of Google Cloud Storage data in the Domo service.

The CData ODBC Drivers offer unmatched performance for interacting with live Google Cloud Storage data in Domo due to optimized data processing built into the driver. When you issue complex SQL queries from Domo to Google Cloud Storage, the driver pushes supported SQL operations, like filters and aggregations, directly to Google Cloud Storage 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 Cloud Storage data using native Domo data types.

Connect to Google Cloud Storage 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.

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.

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

Build a Dataset for Google Cloud Storage Data

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

  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.
  2. In the DataSet Jobs submenu, click Add New.
  3. Name the dataset job (i.e., ODBC Google Cloud Storage Buckets), select ODBC Connection Provider as the transport method, and click through the wizard.
  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 GoogleCloudStorage Sys) for the System DSN.
  7. Click to validate the configuration.
  8. Below the settings, set the Query to a SQL query: SELECT * FROM Buckets NOTE: By connecting to Google Cloud Storage data using an ODBC driver, you simply need to know SQL in order to get your data, circumventing the need to know Google Cloud Storage-specific APIs or protocols.
  9. Click preview.
  10. Check over the generated schema, add any transformations, then save and run the dataset job.

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 Cloud Storage data.

Create Data Visualizations

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

  1. Navigate to the Data Center.
  2. In the data warehouse, select the ODBC data source and drill down to our new dataset.
  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.

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