Build Azure 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 Azure Data Catalog data for visualizations, dashboards, and more. This article shows how to create a virtual database for Azure Data Catalog and build visualizations from Azure Data Catalog data in Redash.

CData Connect Server provides a pure SQL Server interface for Azure Data Catalog, allowing you to easily build reports from live Azure 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 Azure Data Catalog, leveraging server-side processing to quickly return the requested Azure Data Catalog data.

Create a Virtual SQL Server Database for Azure 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 "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 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 Azure Data Catalog data from Redash.

Visualize Azure Data Catalog Data in Redash

The steps below outline creating a new data source in Redash based on the virtual Azure 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. Azure 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 Azure Data Catalog (e.g. AzureDataCatalog1)
   • 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 Azure Data Catalog data.

Create a Azure 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 DslAddressDatabase, Type FROM Tables WHERE Name = 'FactProductInventory'
4. Click the "Execute" button to load Azure Data Catalog data into Redash via CData Connect
5. Use the Visualization Editor to create and analyze graphs from Azure Data Catalog data
6. You can schedule the query to refresh and update the visualization periodically

SQL Access to Azure Data Catalog Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to Azure 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.