Create Datasets from Google Data Catalog in Domo Workbench and Build Visualizations of Google Data Catalog 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 Data Catalog links Domo Workbench to operational Google Data Catalog data. You can build datasets from Google Data Catalog data using standard SQL queries in Workbench and then create real-time visualizations of Google Data Catalog data in the Domo service.

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

Connect to Google Data Catalog 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.

Google Data Catalog uses the OAuth authentication standard. Authorize access to Google APIs on behalf on individual users or on behalf of users in a domain.

Before connecting, specify the following to identify the organization and project you would like to connect to:

• OrganizationId: The ID associated with the Google Cloud Platform organization resource you would like to connect to. Find this by navigating to the cloud console.

  Click the project selection drop-down, and select your organization from the list. Then, click More -> Settings. The organization ID is displayed on this page.

• ProjectId: The ID associated with the Google Cloud Platform project resource you would like to connect to.

  Find this by navigating to the cloud console dashboard and selecting your project from the Select from drop-down. The project ID will be present in the Project info card.

When you connect, the OAuth endpoint opens in your default browser. Log in and grant permissions to the application to completes the OAuth process. For more information, refer to the OAuth section in the Help documentation.

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 Data Catalog in Domo Workbench using the Google Data Catalog DSN and build a visualization in the Domo service based on the dataset.

Build a Dataset for Google Data Catalog Data

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

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 Data Catalog Schemas), 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 GoogleDataCatalog 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 Schemas

   NOTE: By connecting to Google Data Catalog data using an ODBC driver, you simply need to know SQL in order to get your data, circumventing the need to know Google Data Catalog-specific APIs or protocols.
9. Click preview. 👁 Querying Google Data Catalog 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 Data Catalog data.

Create Data Visualizations

With the DataSet Job saved and run in Domo Workbench, we are ready to build visualizations of the Google Data Catalog 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 Data Catalog 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 Data Catalog Data in Domo (Salesforce is shown).
   

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