Create Azure Analysis Services-Connected Enterprise Applications in OutSystems

OutSystems is a low-code platform which provides the tools for companies to developer, deploy, and manage omnichannel enterprise applications. When paired with CData Connect AI, you get instant, cloud-to-cloud access to Azure Analysis Services data for business applications. This article shows how to create a virtual database for Azure Analysis Services in Connect AI and build a simple app from Azure Analysis Services data in OutSystems.

The CData Connect AI provides a pure cloud-to-cloud interface for Azure Analysis Services, allowing you to build reports from live Azure Analysis Services data in OutSystems — without replicating the data to a natively supported database. As you create applications to work with data, OutSystems generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to Azure Analysis Services, leveraging server-side processing to quickly return the requested Azure Analysis Services data.

Configure Azure Analysis Services Connectivity for OutSystems

Connectivity to Azure Analysis Services from OutSystems is made possible through CData Connect AI. To work with Azure Analysis Services data from OutSystems, 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 OutSystems.

Connect to Azure Analysis Services from OutSystems

The steps below outline connecting to CData Connect AI from OutSystems to create a new Azure Analysis Services database connection.

1. Open OutSystems Service Studio
2. Click the gear icon to open Environment Management in the Service Center 👁 Opening the Service Center
   
3. Click Administration and select "Database Connections"
4. Click "New Database Connection"
5. Configure the database connection:
   • Name: name the connection (e.g. CData Connect AI Azure Analysis Services)
   • DBMS: SQL Server / Azure SQL
   • Username: a Connect AI user (e.g. [email protected])
   • Password: the PAT for the Connect AI user
   • Server: tds.cdata.com,14333
   • Schema: the name of your Azure Analysis Services connection (e.g. AAS1)
   👁 Connecting to the Connect AI
   
6. Click "Test Connection"
7. Click "Create"

Map Azure Analysis Services Tables or Views to Entities in an Extension Module

Once you create the database connection for Azure Analysis Services, you can create an extension that maps the tables or views to OutSystems entities. If you have not already done so, create an Application in Service Studio.

1. Open the Service Studio and open the existing Application
2. Click "Add Module," set the "Module Name" (e.g. aas_db_extension), set "Module Type" to "Extension," and click "Create Module" 👁 Creating a new extension module
   
3. In Integration Studio, connect to your environment
4. Right-click "Entities" in the extension tree and select "Connect to External Table or View..." 👁 Connecting to external tables or views
   
5. Follow the steps in the wizard, selecting the tables and views you wish to work with
6. In the Integration Studio, click "1-Click Publish"
7. In the "1-Click Publish" wizard, click "Configure" when the process completes
   • In the Service Center, associate the logical database name of the extension to the database connection that the extension will use and click "Apply" 👁 Configuring the external extension
     
8. In your application, click "Manage Dependencies..."
9. Add a dependency to the Extension and select the Entities that you will use in your application 👁 Adding a dependency to the extension
   

At this point, you can access and work with Azure Analysis Services data just like you would with the standard OutSystems entities.

Get CData Connect AI

With Connect AI and OutSystems, you can easily build Azure Analysis Services-connected applications. Request a free trial of Connect AI and start working with Azure Analysis Services data in OutSystems today.