Model Context Protocol (MCP) finally gives AI models a way to access the business data needed to make them really useful at work. CData MCP Servers have the depth and performance to make sure AI has access to all of the answers.
Try them now for free →Build Google Data Catalog Visualizations in Tableau Cloud
Use CData Connect Cloud to connect to live Google Data Catalog data and build visualizations in Tableau Cloud.
Tableau Cloud is an analytics platform fully hosted in the cloud. When paired with CData Connect Cloud, you get instant, cloud-to-cloud access to Google Data Catalog data for visualizations, dashboards, and more. This article shows how to connect to Google Data Catalog and build visualizations from Google Data Catalog data in Tableau Cloud.
CData Connect Cloud provides a pure cloud-to-cloud interface for Google Data Catalog, allowing you to easily build visualizations from live Google Data Catalog data in Tableau Cloud without installing connectors or publishing worksheets and data sources from Tableau Desktop. As you build visualizations, Tableau Cloud generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc) directly to Google Data Catalog, leveraging server-side processing to quickly return Google Data Catalog data.
Configure Google Data Catalog Connectivity for Tableau Cloud
To work with Google Data Catalog data from Tableau Cloud, we need to connect to Google Data Catalog from Connect Cloud, provide user access to the connection, and create a Workspace for the Google Data Catalog data.
Connect to Google Data Catalog from Connect Cloud
CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources.
- Log into Connect Cloud, click Sources, and then click Add Connection
- Select "Google Data Catalog" from the Add Connection panel
-
Enter the necessary authentication properties to connect to Google Data Catalog.
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.
- 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 Create & Test
-
Navigate to the Permissions tab in the Add Google Data Catalog Connection page and update the User-based permissions.
Add a Personal Access Token
When connecting to Connect Cloud through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect Cloud. It is best practice to create a separate PAT for each service to maintain granularity of access.
- Click on the Gear icon () at the top right of the Connect Cloud app to open the settings page.
- On the Settings page, go to the Access Tokens section and click Create PAT.
-
Give the PAT a name and click Create.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
Configure Google Data Catalog Endpoints for Tableau Cloud
After connecting to Google Data Catalog, create a workspace for your desired table(s).
-
Navigate to the Workspaces page and click Add to create a new Workspace (or select an existing workspace).
- Click Add to add new assets to the Workspace.
-
Select the Google Data Catalog connection (e.g. GoogleDataCatalog1) and click Next.
-
Select the table(s) you wish to work with and click Confirm.
- Make note of the OData Service URL for your workspace, e.g. https://cloud.cdata.com/api/odata/{workspace_name}
With the connection, PAT, and Workspace configured, you are ready to connect to Google Data Catalog data from Tableau Cloud.
Visualize Live Google Data Catalog Data in Tableau Cloud
The steps below outline creating a new data source in Tableau Cloud based on the virtual Google Data Catalog database in Connect Cloud and building a simple visualization from the data.
- Log into Tableau Cloud, select a account, and create a new workbook.
-
In the new workbook, choose the OData Connector from the data wizard and fill in the values for your Connect Cloud instance.
- Set Server to the OData URL for your Workspace, e.g. https://cloud.cdata.com/api/odata/{workspace_name}
- Set Authentication to Username and Password
- Set Username to your Connect Cloud username (e.g. [email protected])
- Set Password to a PAT for the above user
- Select your newly created database and the table(s) you wish to visualize (defining relationships for JOINad tables as needed).
- Select Dimensions and Measures and configure your visualization.
Real-Time Access to Google Data Catalog Data from Cloud Applications
At this point, you have a direct, cloud-to-cloud connection to live Google Data Catalog data from your Tableau Cloud workbook. You can create new visualizations, build dashboards, and more, with no need to publish data sources and workbooks from Tableau Desktop. For more information on gaining live access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Tableau Cloud, refer to our Connect Cloud page.