Build Google Data Catalog-Connected Dashboards in Redash

Redash lets you connect and query your data sources, build dashboards to visualize data and share them with your company. 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 Redash.

CData Connect Server provides a pure SQL Server interface for Google Data Catalog, allowing you to easily build reports from live Google Data Catalog data in Redash — without replicating the data to a natively supported database. As you build visualizations, Redash 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 the requested 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 connect to Google Data Catalog data from Redash.

Visualize Google Data Catalog Data in Redash

The steps below outline creating a new data source in Redash based on the virtual Google Data Catalog database in Connect Server and building a simple visualization from the data.

Create a New Data Source

1. Log into Redash, click on your profile and click "Data Sources"
2. Click the " New Data Source" button
3. Select "Microsoft SQL Server" as the Data Source Type
4. On the configuration tab, set the following properties:
   • Name: Name the data source (e.g. Google Data Catalog (CData Connect))
   • Host: The full URL to your CData Connect instance (e.g. https://connect_server_url)
   • Port: The port of the CData Connect SQL Server endpoint (e.g. 1433)
   • User: A CData Connect user
   • Password: The password for the above user
   • Database name: The name of the virtual database for Google Data Catalog (e.g. GoogleDataCatalog1)
   • Click the checkbox to Use SSQL
5. Click Create
6. Click the "Test Connection" button to ensure you have configured the connection properly

With the new Data Source created, we are ready to visualize our Google Data Catalog data.

Create a Google Data Catalog Data Visualization

1. Click Create -> New Query
2. Select the newly created Data Source (you can explore the data structure in the New Query wizard)
3. Write a SQL statement to retrieve the data, for example:
   SELECT Type, DatasetName FROM Schemas WHERE ProjectId = 'bigquery-public-data'
4. Click the "Execute" button to load Google Data Catalog data into Redash via CData Connect
5. Use the Visualization Editor to create and analyze graphs from Google Data Catalog data
6. You can schedule the query to refresh and update the visualization periodically

SQL Access to Google Data Catalog Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to Google Data Catalog data from Redash. You can create new visualizations, build dashboards, and more. For more information on gaining SQL access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Redash, refer to our Connect Server page.