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Get the Report →Model SAP SuccessFactors Data Using Azure Analysis Services
Leverage CData Connect Cloud to establish a connection between Azure Analysis Services and SAP SuccessFactors, enabling the direct import of real-time SAP SuccessFactors 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 SAP SuccessFactors data for applications. This article outlines the process of connecting to SAP SuccessFactors via Connect Cloud and importing SAP SuccessFactors data into Visual Studio using an AAS extension.
CData Connect Cloud offers a seamless cloud-to-cloud interface tailored for SAP SuccessFactors, enabling you to create live models of SAP SuccessFactors 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 SAP SuccessFactors. This leverages server-side processing for swift retrieval of the requested SAP SuccessFactors data.
Configure SAP SuccessFactors Connectivity for AAS
Connectivity to SAP SuccessFactors from Azure Analysis Services is made possible through CData Connect Cloud. To work with SAP SuccessFactors data from Azure Analysis Services, we start by creating and configuring a SAP SuccessFactors connection.
- Log into Connect Cloud, click Connections and click Add Connection
- Select "SAP SuccessFactors" from the Add Connection panel
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Enter the necessary authentication properties to connect to SAP SuccessFactors.
You can authenticate to SAP Success Factors using Basic authentication or OAuth with SAML assertion.
Basic Authentication
You must provide values for the following properties to successfully authenticate to SAP Success Factors. Note that the provider will reuse the session opened by SAP Success Factors using cookies. Which means that your credentials will be used only on the first request to open the session. After that, cookies returned from SAP Success Factors will be used for authentication.
- Url: set this to the URL of the server hosting Success Factors. Some of the servers are listed in the SAP support documentation (external link).
- User: set this to the username of your account.
- Password: set this to the password of your account.
- CompanyId: set this to the unique identifier of your company.
OAuth Authentication
You must provide values for the following properties, which will be used to get the access token.
- Url: set this to the URL of the server hosting Success Factors. Some of the servers are listed in the SAP support documentation (external link).
- User: set this to the username of your account.
- CompanyId: set this to the unique identifier of your company.
- OAuthClientId: set this to the API Key that was generated in API Center.
- OAuthClientSecret: the X.509 private key used to sign SAML assertion. The private key can be found in the certificate you downloaded in Registering your OAuth Client Application.
- InitiateOAuth: set this to GETANDREFRESH.
- Click Create & Test
- Navigate to the Permissions tab in the Add SAP SuccessFactors 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.
- Click on your username at the top right of the Connect Cloud app and click User Profile.
- On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
- Give your PAT a name and click Create.
- 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 SAP SuccessFactors data from Visual Studio using Azure Analysis Services.
Connect to SAP SuccessFactors in Visual Studio Using AAS
The steps below outline connecting to CData Connect Cloud from Azure Analysis Services to create a new SAP SuccessFactors data source. You will need the Microsoft Analysis Services Project Extension installed to continue.
- In Visual Studio, create a new project. Select Analysis Services Tabular Project.
- In the Configure your new project dialog, enter a name for your project in the Project name field. Fill in the rest of the fields.
- Click 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). Click Test Connection and sign in to your server.
- Click OK to create the project. Your Visual Studio window should resemble the following screenshot:
- In Visual Studio, in Tabular model Explorer, right-click Data Sources and select Import From Data Source.
- In the Table Import Wizard, select SQL Server database and click Connect. In the Server field, enter the Virtual SQL Server endpoint and port separated by a comma: e.g., tds.cdata.com,14333
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Click SQL Server Authentication 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, test@cdata.com.
- Password: Enter the PAT you generated on the Settings page.
- On the next screen, select Current User and click Next.
- Now, select the first option and click Next.
- On the next screen, select a table from the list and click Preview & Filter.
- You should now see the table from SAP SuccessFactors populated with data.
Now that you have imported the SAP SuccessFactors 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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