Connect to Azure Analysis Services Data in RunMyProcess through Connect AI

Akorbi Digital RunMyProcess makes it easy to create applications for complex business applications, such as budget application and contract management. CData Connect AI creates a live connection to Azure Analysis Services and can be used to generate an OData API (natively supported in RunMyProcess) for Azure Analysis Services. By pairing RunMyProcess with CData Connect AI, you get true cloud-to-cloud connectivity to all your SaaS and cloud-based Big Data and NoSQL sources - no need to migrate your data or write your own integrations. Simply connect to Connect AI from RunMyProcess as you would any other REST service and get instant, live access to your Azure Analysis Services data.

In this article, we walk through connecting to Azure Analysis Services from CData Connect AI and accessing Azure Analysis Services data through an OData feed in RunMyProcess.

Connect to Azure Analysis Services from RunMyProcess

To work with live Azure Analysis Services data in RunMyProcess, we need to connect to Azure Analysis Services from Connect AI, provide user access to the connection, and create a Workspace for the Azure Analysis Services data.

Connect to Azure Analysis Services 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
👁 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.

Configure Azure Analysis Services Endpoints for RunMyProcess

After connecting to Azure Analysis Services, 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). 👁 The Workspaces page.
   👁 Adding a new Workspace.
   
2. Click Add to add new assets to the Workspace.
3. Select the Azure Analysis Services connection (e.g. AAS1) and click Next. 👁 Selecting an Asset (Salesforce is shown).
   
4. Select the table(s) you wish to work with and click Confirm. 👁 Selecting Tables (Salesforce is shown).
   
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 Analysis Services data from RunMyProcess.

Retrieve Azure Analysis Services Data from RunMyProcess DigitalSuite Studio

With the connection to Azure Analysis Services and OData endpoints created, we are ready to add Azure Analysis Services data to RunMyProcess for Retrieval.

Create a Provider

1. Log into RunMyProcess and open DigitalSuite Studio.
2. Click Resources to bring up the Resources page, then select then the CONNECTORS tab. 👁 Connectors page
   
3. Click the + (New Provider) button to create a new provider, choose the account to use, then click Confirm. 👁 Create a new provider
   
4. In the provider settings page, configure the following properties.
   • URL: Set the OData endpoint in the Connect AI OData page: https://cloud.cdata.com/api/odata/{workspace_name}.
   • Authentication Schema: Select Login/Password.
   • Login: Specify a CData Connect AI username (e.g. [email protected]).
   • Password: Specify the PAT of the Connect AI user.
   👁 Selecting a connector
   
5. Fill in the same properties in the ACCEPTANCE and TEST tabs. Note: You can copy the configured settings by clicking 'Copy this configuration button,' then pasting the content in the new tab by clicking 'Paste previously copied configuration.'
6. Click Save to save the properties.

Retrieve Azure Analysis Services Data by Creating a Connector

1. In the CONNECTORS tab, click the button with three dots to create the provider, then select Add connector from the menu.
2. In the following page, set Connector URL to the OData endpoint configured in Connect AI (e.g. https://cloud.cdata.com/api/odata/{workspace_name}) 👁 Connector settings page
   
3. Click Save then Launch to test the connector execution. Click Launch test to execute. The process is successful if you get the JSON response of your configured table information. 👁 Execution test page
   

More Information & Free Trial

Now, you have created a provider and connector to retrieve Azure Analysis Services data. For more information on creating OData feeds from Azure Analysis Services (and more than 100 other data sources), visit the Connect AI page. Sign up for a free trial and start working with live Azure Analysis Services data in RunMyProcess.