Visualize Google Data Catalog Data in Tableau

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Google Data Catalog ODBC Driver

The Google Data Catalog ODBC Driver is a powerful tool that allows you to connect with live data from Google Data Catalog, directly from any applications that support ODBC connectivity.

Access Google Data Catalog data like you would a database - read, write, and update Google Data Catalog Schemas, Tables, etc. through a standard ODBC Driver interface.



The CData ODBC driver for Google Data Catalog enables you integrate Google Data Catalog data into Tableau dashboards.

The CData ODBC Driver for Google Data Catalog enables you to access live Google Data Catalog data in business intelligence tools like Tableau. In this article, you will integrate Google Data Catalog data into a dashboard that reflects changes to Google Data Catalog data in real time.

The CData ODBC drivers offer unmatched performance for interacting with live Google Data Catalog data in Tableau due to optimized data processing built into the driver. When you issue complex SQL queries from Tableau 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 Tableau 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.

Add Google Data Catalog Data to a Dashboard

  1. Click Connect to Data -> More Servers -> Other Databases (ODBC).
    Select the CData Data Source Name (for example: CData GoogleDataCatalog Source).
  2. In the Database menu, select CData.
  3. In the Table box, enter a table name or click New Custom SQL to enter an SQL query. This article retrieves the Schemas table.
  4. Drag the table onto the join area. At this point, you can include multiple tables, leveraging the built-in SQL engine to process complex data requests.
  5. In the Connection menu, select the Live option, so that you skip loading a copy of the data into Tableau and instead work on real-time data. The optimized data processing native to CData ODBC drivers enables unmatched performance in live connectivity.
  6. Click the tab for your worksheet. Columns are listed as Dimensions and Measures, depending on the data type. The CData driver discovers data types automatically, allowing you to leverage the powerful data processing and visualization features of Tableau.
  7. Drop the Type column in the Dimensions pane onto the dashboard. When you select dimensions, Tableau builds a query to the driver. The results are grouped based on that dimension. In Tableau, the raw query is automatically modified as you select dimensions and measures.
  8. Drag the DatasetName column in the Measures field onto the Detail and Color buttons. Tableau executes the following query:

    SELECT Type, SUM(DatasetName) FROM Schemas GROUP BY Type

    When you select a measure, Tableau executes a command to the driver to calculate a summary function, such as SUM, AVG, etc., on the grouped values. The SQL engine (embedded within the driver) is leveraged to process the aggregation of the data, where needed, providing a seamless experience in Tableau, regardless of the data source.

    To change the summary function, open the DatasetName menu and select the summary you want in the Measure command.

  9. You can create other charts using dimensions and measures to build SQL queries visually:

With the CData ODBC Driver for Google Data Catalog, you get live connectivity to your Google Data Catalog data, allowing you to build real-time charts, graphs, and more.