Model HCL Domino Data Using Azure Analysis Services



Leverage CData Connect Cloud to establish a connection between Azure Analysis Services and HCL Domino, enabling the direct import of real-time HCL Domino data.

Microsoft Azure Analysis Services (AAS) is a fully-managed platform-as-a-service (PaaS) offering that delivers enterprise-grade data models in the cloud. When combined with CData Connect Cloud, AAS facilitates immediate cloud-to-cloud access to HCL Domino data for applications. This article outlines the process of connecting to HCL Domino via Connect Cloud and importing HCL Domino data into Visual Studio using an AAS extension.

CData Connect Cloud offers a seamless cloud-to-cloud interface tailored for HCL Domino, enabling you to create live models of HCL Domino data in Azure Analysis Services without the need to replicate data to a natively supported database. While constructing high-quality semantic data models for business reports and client applications, Azure Analysis Services formulates SQL queries to retrieve data. CData Connect Cloud is equipped with optimized data processing capabilities right from the start, directing all supported SQL operations, including filters and JOINs, directly to HCL Domino. This leverages server-side processing for swift retrieval of the requested HCL Domino data.

Prerequisites

Before you connect, you must first do the following:

  • Connect a data source to your CData Connect Cloud account. Detailed steps are provided in the next section.
  • Generate a Personal Access Token (PAT). Copy this down, as it acts as your password during authentication.
  • Create a server in Azure Analysis Services to which you will deploy your data from CData Connect Cloud.
  • Install and configure an On-Premise Gateway in your system. This will pull data from the source via CData Connect Cloud into the Azure Analysis Services project and deploy models to the server. Refer to the given link to find the detailed process.

Configure HCL Domino Connectivity for AAS

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

  1. Log into Connect Cloud, click Connections and click Add Connection
  2. Select "HCL Domino" from the Add Connection panel
  3. Enter the necessary authentication properties to connect to HCL Domino.

    Connecting to Domino

    To connect to Domino data, set the following properties:

    • URL: The host name or IP of the server hosting the Domino database. Include the port of the server hosting the Domino database. For example: http://sampleserver:1234/
    • DatabaseScope: The name of a scope in the Domino Web UI. The driver exposes forms and views for the schema governed by the specified scope. In the Domino Admin UI, select the Scopes menu in the sidebar. Set this property to the name of an existing scope.

    Authenticating with Domino

    Domino supports authenticating via login credentials or an Azure Active Directory OAuth application:

    Login Credentials

    To authenticate with login credentials, set the following properties:

    • AuthScheme: Set this to "OAuthPassword"
    • User: The username of the authenticating Domino user
    • Password: The password associated with the authenticating Domino user

    The driver uses the login credentials to automatically perform an OAuth token exchange.

    AzureAD

    This authentication method uses Azure Active Directory as an IdP to obtain a JWT token. You need to create a custom OAuth application in Azure Active Directory and configure it as an IdP. To do so, follow the instructions in the Help documentation. Then set the following properties:

    • AuthScheme: Set this to "AzureAD"
    • InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to avoid repeating the OAuth exchange and manually setting the OAuthAccessToken.
    • OAuthClientId: The Client ID obtained when setting up the custom OAuth application.
    • OAuthClientSecret: The Client secret obtained when setting up the custom OAuth application.
    • CallbackURL: The redirect URI defined when you registered your app. For example: https://localhost:33333
    • AzureTenant: The Microsoft Online tenant being used to access data. Supply either a value in the form companyname.microsoft.com or the tenant ID.

      The tenant ID is the same as the directory ID shown in the Azure Portal's Azure Active Directory > Properties page.

  4. Click Create & Test
  5. Navigate to the Permissions tab in the Add HCL Domino Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that lacks support for OAuth authentication, you have the option to generate a Personal Access Token (PAT) for authentication purposes. It's advisable to follow best practices by creating a distinct PAT for each service to uphold access granularity.

  1. Click on your username at the top right of the Connect Cloud app and click User Profile.
  2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
  3. Give your 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.

With the connection configured, you are ready to connect to HCL Domino data from Visual Studio using Azure Analysis Services.

Connect to HCL Domino in Visual Studio Using AAS

The steps below outline connecting to CData Connect Cloud from Azure Analysis Services to create a new HCL Domino data source. You will need the Microsoft Analysis Services Project extension installed in Microsoft Visual Studio to continue.

  1. In Visual Studio, create a new project. Select Analysis Services Tabular Project. Click on Next.
  2. In the Configure your new project dialog box, enter a name for your project in the Project name field. Fill in the rest of the fields.
  3. Click on Create. The Tabular model designer dialog box opens. Select Workspace server and enter the address of your Azure Analysis Services server (for example, asazure://eastus.azure.windows.net/myAzureServer). Also, make sure to select the option SQL Server 2022 / Azure Analysis Services (1600) from the Compatibility level dropdown. Click on Test Connection to check if the connection details are correct. Click OK and sign in to your server.
  4. Now, click on OK to create the project. Your Visual Studio window should resemble the following screenshot:
  5. In the Tabular Model Explorer window of Visual Studio, right-click Data Sources and select Import From Data Source.
  6. In the Get Data window, select SQL Server database and click Connect. In the Server field, enter the Virtual SQL Server endpoint and the port separated by a comma: e.g., “tds.cdata.com, 14333”, and click on OK.
  7. Click on Database and enter the following information:
    • User name: Enter your CData Connect Cloud username. This is displayed in the top-right corner of the CData Connect Cloud interface. For example, [email protected].
    • Password: Enter the PAT you generated on the Settings page.

    Click on Connect. If successful, the Navigator window will pop up.

  8. In the Navigator window, search and select the tables of your choice
  9. You should now see the Salesforce table populated with data in the preview section on the right panel.
  10. Click on Load to import the data.

Now that you have imported the HCL Domino data into your data model, you are ready to deploy the project to Azure Analysis Services for use in business reports, client applications, and more.

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