Analyze Azure Data Catalog Data in Infragistics Reveal

Reveal, an offering from Infragistics, serves as a data visualization tool that seamlessly integrates with CData Connect AI. Together, they empower users to deliver dynamic dashboards using real-time data from a diverse range of data sources, including Azure Data Catalog data. In this article, we will guide you through the process of connecting to Azure Data Catalog via Connect AI and subsequently linking Connect AI with Infragistics Reveal to construct a straightforward dashboard.

Connect to Azure Data Catalog from Infragistics Reveal

To work with live Azure Data Catalog data in Infragistics Reveal, we need to connect to Azure Data Catalog from Connect AI, provide user access to the connection, and create a Workspace for the Azure Data Catalog data.

Connect to Azure Data Catalog from Connect AI

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

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "Azure Data Catalog" from the Add Connection panel

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 & Test
5. Navigate to the Permissions tab in the Add Azure Data Catalog Connection page and update the User-based permissions.

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

Configure Azure Data Catalog Endpoints for Infragistics Reveal

After connecting to Azure Data Catalog, create a workspace for your desired table(s).

1. Navigate to the Workspaces page and click Add to create a new Workspace (or select an existing workspace).
2. Click Add to add new assets to the Workspace.
3. Select the Azure Data Catalog connection (e.g. AzureDataCatalog1) and click Next.
4. Select the table(s) you wish to work with and click Confirm.
5. Make note of the OData Service URL for your workspace, e.g. https://cloud.cdata.com/api/odata/{workspace_name}

With the connection, PAT, and Workspace configured, you are ready to connect to Azure Data Catalog data from Infragistics Reveal.

Create a Dashboard in Reveal

With Connect AI configured, we can visualize Azure Data Catalog data in Reveal.

1. Log into Reveal and click Dashboards -> New
2. Click Data Sources -> OData Feed
3. Specify the Connect AI OData API endpoint URL (found on the OData page): https://cloud.cdata.com/api/odata/{workspace_name}
4. Select Generic Credentials and
   • Set Username to a Connect AI username (e.g. [email protected])
   • Set Password to the PAT for the user
   
5. Select the entity you wish to visualize
6. Select fields and choose a chart type

More Information & Free Trial

At this point, you have created a simple dashboard from live Azure Data Catalog data. For more information on creating OData feeds from Azure Data Catalog (and more than 100 other sources), visit the Connect AI page. Sign up for a free trial and start working live Azure Data Catalog data in tools that consume OData APIs.