Integrate Live Azure Analysis Services Data into Custom Business Apps Built in Power Apps

Power Apps is a service for building and using custom business apps that connect to your data and work across the web and mobile — without the time and expense of custom software development. When paired with CData Connect AI, you get instant, cloud-to-cloud access to Azure Analysis Services data from the apps you build using Power Apps. This article shows how to connect to Connect AI from Power Apps and build an app based on live Azure Analysis Services data.

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

Configure Azure Analysis Services Connectivity for Power Apps

Connectivity to Azure Analysis Services from Power Apps is made possible through CData Connect AI. To work with Azure Analysis Services data from Power Apps, we start by creating and configuring a Azure Analysis Services connection.

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

2. Select "Azure Analysis Services" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to Azure Analysis Services.

   To connect to Azure Analysis Services, set the Url property to a valid server, for instance, asazure://southcentralus.asazure.windows.net/server, in addition to authenticating. Optionally, set Database to distinguish which Azure database on the server to connect to.

   Azure Analysis Services uses the OAuth authentication standard. OAuth requires the authenticating user to interact with Azure Analysis Services using the browser. You can connect without setting any connection properties for your user credentials. See the Help documentation for more information.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Azure Analysis Services 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 Analysis Services data from Power Apps.

Connecting to CData Connect AI

To use Connect AI to integrate Azure Analysis Services data into your Power Apps, you need a new SQL Server connection:

1. Log in to Power Apps
2. Click Dataverse -> Connections -> New connection
3. Select SQL Server 👁 Creating a new SQL Server Connection
   
4. In the connection wizard:
   
   
   • Choose to connect directly
   • Set SQL server name to tds.cdata.com,14333
   • Set SQL database name to the name of the Azure Analysis Services connection (e.g. AAS1)
   • Set Username to a Connect AI user (e.g. [email protected])
   • Set Password to the PAT for the above user
   • Click Create 👁 Connecting to Connect AI
     

Building a Data-Centric App for Azure Analysis Services Data

With the connection to Connect AI configured, you are ready to integrate live Azure Analysis Services data into the apps you build in Power Apps.

1. Log in to Power Apps
2. Click Create and select "SQL" 👁 Creating a new app from data
   
3. Select the SQL Server connection you created
4. Search for or choose a table to work with
5. Click Connect 👁 Connecting to Azure Analysis Services data
   
6. Customize the newly created app just like you would any other, including changing the layout and setting the fields exposed in BrowseScreen, DetailScreen, and EditScreen 👁 Customizing the Azure Analysis Services data app
   

At this point, you have an app with read access to live Azure Analysis Services data that you can save and publish for use within your organization.

SQL Access to Azure Analysis Services Data from Cloud Applications

Now you have a direct connection to live Azure Analysis Services data from Microsoft Power Apps. You can create more connections and apps to drive business — all without replicating Azure Analysis Services data.

To get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, sign up for a free trial of CData Connect AI.