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CData Connect Server

Build Google Data Catalog Visualizations in Tableau Cloud



Use CData Connect Server to create a virtual SQL Server Database for 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 Server, you get instant, cloud-to-cloud access to Google Data Catalog data for visualizations, dashboards, and more. This article shows how to create a virtual database for Google Data Catalog and build visualizations from Google Data Catalog data in Tableau Cloud.

CData Connect Server provides a pure SQL Server 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 Server pushes all supported SQL operations (filters, JOINs, etc) directly to Google Data Catalog, leveraging server-side processing to quickly return Google Data Catalog data.

Create a Virtual SQL Server Database for Google Data Catalog Data

CData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Login to Connect Server and click Connections.
  2. Select "Google Data Catalog" from Available Data Sources.
  3. 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.

  4. Click Save Changes
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to build visualizations in 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 Server and building a simple visualization from the data.

  1. Log into Tableau Cloud, select a project, and create a new workbook.
  2. In the new workbook, choose the Microsoft SQL Server Connector from the data wizard and fill in the values for your Connect Server instance.
    NOTE: Be sure to check the "Require SSL" checkbox.
  3. Select your newly created database and the table(s) you wish to visualize (defining relationships for JOINed tables as needed).
  4. Select Dimensions and Measures and configure your visualization.

SQL Access to Google Data Catalog Data from Applications

At this point, you have a direct 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 SQL access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Tableau Cloud, refer to our Connect Server page.