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Integrating SAP SuccessFactors Data in Talend Cloud Data Management Platform



Connect SAP SuccessFactors Data with Talend Cloud Data Management Platform using the CData JDBC Driver for SAP SuccessFactors.

Qlik's Talend Cloud Data Management Platform supports various data environments, enabling analytics for smarter decisions, operational data sharing, data and application modernization, and establishing data excellence for risk reduction. When paired with the CData JDBC Driver for SAP SuccessFactors, you can improve data integration, quality, and governance for your SAP SuccessFactors Data. This article shows how you can easily integrate to SAP SuccessFactors using a CData JDBC Driver in Talend Cloud Data Management, and then view the data for simultaneous use in your workflow.

Prerequisites

Before connecting the CData JDBC Driver to view and work with your data in Talend Cloud Data Management Platform, make sure to download and install the latest version of Talend Studio on your system. Also, ensure that you have the required prerequisites.

  1. A Talend Cloud Data Management account with appropriate permissions.
  2. The CData JDBC Driver for SAP SuccessFactors, which can be downloaded from the CData website.

Connect to SAP SuccessFactors in Talend as a JDBC data source

Access Talend Data Management Cloud

  1. Run the Talend Cloud Data Management Platform installed on your local system and click on Other Login Mode.
  2. Click on Manage Connections. Set Repository to "Local" and enter the Name, Description and User E-mail in the respective spaces. Set the Workspace path and click on OK.
  3. Now, select the Create a new project radio button to add a new project name and click on Create.
  4. The new project should appear under the Select an existing project section. Click on Open. The Talend Cloud Data Management Platform workspace opens up.

Create a new connection

  1. In the navigation pane, locate and expand the Metadata dropdown. Right-click on Db Connections and select Create Connection.
  2. Search for and select 'JDBC' in the Find section of the Database Connection window. Then, click on Finish.
  3. Enter the Name, Purpose and Description of the new database in Talend where you need to load the SAP SuccessFactors data. Click on Next.
  4. Generate a JDBC URL for connecting to SAP SuccessFactors, beginning with jdbc:sapsuccessfactors: followed by a series of semicolon-separated connection string properties.

    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.

    Built-in Connection String Designer

    For assistance in constructing the JDBC URL, use the connection string designer built into the SAP SuccessFactors JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.sapsuccessfactors.jar

    Fill in the connection properties and copy the connection string to the clipboard.

    A typical JDBC URL is below:

    jdbc:sapsuccessfactors:User=username;Password=password;CompanyId=CompanyId;Url=https://api4.successfactors.com;
  5. Enter the JDBC URL copied from CData JDBC Driver for SAP SuccessFactors in Edit new database.

  6. Click on the "(+) Add" button under Drivers. A 'newLine' will appear in the Drivers board. Click on (...) at the end of the new line, select the Install a new module radio button, and click on (...) to add the path to the JAR file, located in the 'lib' subfolder of the installation directory. Click on OK.
  7. Select the Driver Class as cdata.jdbc.sapsuccessfactors (JAR file obtained from your installation directory given in the previous step).

Test the new connection

  1. Click on Check Connection. If the entered details are correct, a "Connection successful" confirmation prompt will appear. Click on "OK" and "Finish".
  2. Once the connection is established, right-click on the newly created connection and select Retrieve Schema. You can use the filters as well to retrieve the data as per your requirements. Click on Next.
  3. Expand the "CData" catalog in the Schema window and select the tables you want to import from the SAP SuccessFactors schema. Click on Next.
  4. In the next step, select the columns you want to view from the table and click on Finish.
  5. All the selected tables from the SAP SuccessFactors schema are now populated under the Table Schemas section of the JDBC connection.
  6. Right-click on any of the selected tables and click on Data Viewer to preview the data from the data source.

Get Started Today

Download a free, 30-day trial of the CData JDBC Driver for SAP SuccessFactors and integrate SAP SuccessFactors data into Talend Cloud Data Management Platform. Reach out to our Support Team if you have any questions.