Prepare, Blend, and Analyze Google Data Catalog Data in Alteryx Designer

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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.



Build workflows to access live Google Data Catalog data for self-service data analytics.

The CData ODBC Driver for Google Data Catalog enables access to live data from Google Data Catalog under the ODBC standard, allowing you work with Google Data Catalog data in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to connect to Google Data Catalog data using an ODBC connection in Alteryx Designer to perform self-service BI, data preparation, data blending, and advanced analytics.

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

Connect to Google Data Catalog Data

  1. If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can configure the DSN using the built-in Microsoft ODBC Data Source Administrator. This is also the last step of the driver installation. See the "Getting Started" chapter in the Help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

    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.

  2. Open Alteryx Designer and create a new workflow.
  3. Drag and drop a new input data tool onto the workflow.
  4. Click the new input data tool and under Connect a File or Database, select Database Connection -> New ODBC Connection.
  5. Select the DSN that you configured for use in Alteryx.
  6. In the wizard that opens, select the fields you wish to include in your query. Where possible, the complex queries generated by the filters and aggregations will be pushed down to Google Data Catalog, while any unsupported operations (which can include SQL functions and JOIN operations) will be managed client-side by the CData SQL engine embedded in the driver.
  7. If you wish to further customize your dataset, you can open the SQL Editor and modify the query manually, adding clauses, aggregations, and other operations to ensure that you are retrieving exactly the Google Data Catalog data you want.

With the query defined, you are ready to work with Google Data Catalog data in Alteryx Designer.

Perform Self-Service Analytics on Google Data Catalog Data

You are now ready to create a workflow to prepare, blend, and analyze Google Data Catalog data. The CData ODBC Driver performs dynamic metadata discovery, presenting data using Alteryx data field types and allowing you to leverage the Designer's tools to manipulate data as needed and build meaningful datasets. In the example below, you will cleanse and browse data.

  1. Add a data cleansing tool to the workflow and check the boxes in Replace Nulls to replace null text fields with blanks and replace null numeric fields with 0. You can also check the box in Remove Unwanted Characters to remove leading and trailing whitespace.
  2. Add a browse data tool to the workflow.
  3. Click to run the workflow (CTRL+R).
  4. Browse your cleansed Google Data Catalog data in the results view.

Thanks to built-in, high-performance data processing, you will be able to quickly cleanse, transform, and/or analyze your Google Data Catalog data with Alteryx.