Create Apps from Azure Data Catalog Data in Qlik Sense Cloud

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to Azure Data Catalog Data and build apps from live Azure Data Catalog data in Qlik Sense Cloud.

Qlik Sense Cloud allows you to create and share data visualizations and interact with information in new ways. CData Connect AI creates a live connection to Azure Data Catalog. By pairing Qlik Sense Cloud with CData Connect AI, you get true cloud-to-cloud connectivity to all of your SaaS and cloud-based Big Data and NoSQL sources — no need to migrate your data or write your integrations. Simply connect to Connect AI from Qlik Sense Cloud and get instant, live access to your Azure Data Catalog data.

In this article, we walk through two connections:

  1. Connecting to Azure Data Catalog in Connect AI
  2. Connecting to Connect AI from Qlik Sense Cloud to create a model and build a simple dashboard

Configure Azure Data Catalog Connectivity for Qlik Sense Cloud

Connectivity to Azure Data Catalog from Qlik Cloud is made possible through CData Connect AI. To work with Azure Data Catalog data from Qlik Cloud, we start by creating and configuring a Azure Data Catalog connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Adding a Connection
  3. Select "Azure Data Catalog" from the Add Connection panel
  4. Selecting a data source
  5. 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.

    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Azure Data Catalog Connection page and update the User-based permissions. Updating 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. Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Azure Data Catalog data from Qlik Sense Cloud.

Create a Qlik Sense App from Azure Data Catalog Data

This section explains how to add Azure Data Catalog data to a Qlik Sense app for visualizations, analytics, reporting, and more.

Create a New App and Upload Data

  1. Log into your Qlik Sense instance and click the button to create a new app Creating a new app
  2. Name and configure the new app and click "Create"
  3. In the workspace, click to open the new app
  4. Click to add data from files and other sources Selecting a connector
  5. Select the Microsoft SQL Server connector and set the configuration properties.
    • Set Server to tds.cdata.com
    • Set Port to 14333
    • Set Database to the connection you created (e.g. AzureDataCatalog1)
    • Set User name to the Connect AI user (e.g. [email protected])
    • Set Password to the PAT for the above user
    Configuring the connection
  6. Select an owner for the connection
  7. Select a Azure Data Catalog entity (Table) to view Adding data to the app (Salesforce is shown.)
  8. Click Next, configure the model, and load the data into Qlik Sense.

Generate Insights or Customize Your App

With the data loaded into Qlik Sense, you are ready to begin discovering insights. You can build custom visualizations, reports, and dashboards engineered to gain actionable insights into your Azure Data Catalog data.

Generating insights on live data (Salesforce is shown.)

More Information & Free Trial

Now, you have created a simple but powerful dashboard from live Azure Data Catalog data. For more information on creating OData feeds from Azure Data Catalog (and more than 100 other data sources), visit the Connect AI page. Sign up for a free trial and start working with live Azure Data Catalog data in Qlik Sense Cloud.

Ready to get started?

Learn more about CData Connect AI or sign up for free trial access:

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