Create Interactive Metabase Dashboards that Work with Azure Data Catalog Data

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CData Connect



Use CData Connect to create a virtual MySQL database for Azure Data Catalog data and create an interactive dashboard in Metabase from Azure Data Catalog data.

Metabase is an open source data visualization tool that allows users to create interactive dashboards. When paired with CData Connect Cloud, users can easily create visualizations and dashboards linked to live Azure Data Catalog data. This article describes how to create a virtual database for Azure Data Catalog and build a simple visualization using Azure Data Catalog data.

CData Connect provides a pure SQL interface for Azure Data Catalog, allowing you to easily integrate with live Azure Data Catalog data in Metabase — without replicating the data. Connect looks exactly like a MySQL database to Metabase and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to Azure Data Catalog, leveraging server-side processing to quickly return Azure Data Catalog data.

Create a Virtual MySQL Database for Azure Data Catalog Data

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

  1. Log into Connect Cloud and click Databases.
  2. Select "Azure Data Catalog" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Azure Data Catalog.

    You can optionally set the following to read the different catalog data returned from Azure Data Catalog.

      CatalogName: Set this to the CatalogName associated with your Azure Data Catalog. To get your Catalog name, navigate to your Azure Portal home page > Data Catalog > Catalog Name

    Connect Using OAuth Authentication

    You must use OAuth to authenticate with Azure Data Catalog. OAuth requires the authenticating user to interact with Azure Data Catalog using the browser. For more information, refer to the OAuth section in the help documentation.

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

Connect to CData Connect from Metabase

After creating the virtual database, navigate to your Metabase instance. Use the MySQL interface to connect to CData Connect.

  1. Navigate to the administration screen (Settings -> Admin) and click "Add Database" from the "Databases" tab
  2. Configure the connection to CData Connect and click "Save"
    • Database type: Select "MySQL"
    • Name: Name the connection (e.g. "Azure Data Catalog (CData Connect)")
    • Host: The URL of your Connect instance (e.g. https://myinstance.cdatacloud.net)
    • Port: The port of the MySQL endpoint for your Connect instance (e.g. 3306)
    • Database name: The name of the virtual database you just created (e.g. Azure Data Catalog1)
    • Username: A CData Connect username
    • Password: The password for the above CData Connect user
    • Click to Use a secure connection (SSL)

Query Azure Data Catalog Data with Metabase

Once you configure the connection to CData Connect, you can query Azure Data Catalog and build visualizations.

  1. Use the "Write SQL" tool to retrieve the Azure Data Catalog data
  2. Write a SQL query based on the virtual database, e.g.

    SELECT DslAddressDatabase, Type FROM Tables WHERE Name = 'FactProductInventory'
  3. Navigate to the "Visualization" screen, choose a visualization, and configure the visualization

More Information & Free Trial

At this point, you have built a simple visualization from Azure Data Catalog data in Metabase. You can continue to work with live Azure Data Catalog data in Metabase just like you would any MySQL database. For more information on creating a virtual MySQL database for Azure Data Catalog (and more than 200 other data sources), visit the Connect Cloud page. Sign up for a free trial and start working with live Azure Data Catalog data in Metabase today.