Create Informatica Mappings From/To a JDBC Data Source for LinkedIn



Create LinkedIn data objects in Informatica using the standard JDBC connection process: Copy the JAR and then connect.

Informatica provides a powerful, elegant means of transporting and transforming your data. By utilizing the CData JDBC Driver for LinkedIn, you are gaining access to a driver based on industry-proven standards that integrates seamlessly with Informatica's powerful data transportation and manipulation features. This tutorial shows how to transfer and browse LinkedIn data in Informatica PowerCenter.

Deploy the Driver

To deploy the driver to the Informatica PowerCenter server, copy the CData JAR and .lic file, located in the lib subfolder in the installation directory, to the following folder: Informatica-installation-directory\services\shared\jars\thirdparty.

To work with LinkedIn data in the Developer tool, you will need to copy the CData JAR and .lic file, located in the lib subfolder in the installation directory, into the following folders:

  • Informatica-installation-directory\client\externaljdbcjars
  • Informatica-installation-directory\externaljdbcjars

Create the JDBC Connection

Follow the steps below to connect from Informatica Developer:

  1. In the Connection Explorer pane, right-click your domain and click Create a Connection.
  2. In the New Database Connection wizard that is displayed, enter a name and Id for the connection and in the Type menu select JDBC.
  3. In the JDBC Driver Class Name property, enter: cdata.jdbc.linkedin.LinkedInDriver
  4. In the Connection String property, enter the JDBC URL, using the connection properties for LinkedIn. LinkedIn uses the OAuth 2 authentication standard. You will need to obtain the OAuthClientId and OAuthClientSecret by registering an app with LinkedIn. For more information refer to our authentication guide.

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.linkedin.jar

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

    A typical connection string is below:

    jdbc:linkedin:OAuthClientId=MyOAuthClientId;OAuthClientSecret=MyOAuthClientSecret;CallbackURL=http://localhost:portNumber;CompanyId=XXXXXXXInitiateOAuth=GETANDREFRESH

Browse LinkedIn Tables

After you have added the driver JAR to the classpath and created a JDBC connection, you can now access LinkedIn entities in Informatica. Follow the steps below to connect to LinkedIn and browse LinkedIn tables:

  1. Connect to your repository.
  2. In the Connection Explorer, right-click the connection and click Connect.
  3. Clear the Show Default Schema Only option.

You can now browse LinkedIn tables in the Data Viewer: Right-click the node for the table and then click Open. On the Data Viewer view, click Run.

Create LinkedIn Data Objects

Follow the steps below to add LinkedIn tables to your project:

  1. Select tables in LinkedIn, then right-click a table in LinkedIn, and click Add to Project.
  2. In the resulting dialog, select the option to create a data object for each resource.
  3. In the Select Location dialog, select your project.

    Create a Mapping

    Follow the steps below to add the LinkedIn source to a mapping:

    1. In the Object Explorer, right-click your project and then click New -> Mapping.
    2. Expand the node for the LinkedIn connection and then drag the data object for the table onto the editor.
    3. In the dialog that appears, select the Read option.

    Follow the steps below to map LinkedIn columns to a flat file:

    1. In the Object Explorer, right-click your project and then click New -> Data Object.
    2. Select Flat File Data Object -> Create as Empty -> Fixed Width.
    3. In the properties for the LinkedIn object, select the rows you want, right-click, and then click copy. Paste the rows into the flat file properties.
    4. Drag the flat file data object onto the mapping. In the dialog that appears, select the Write option.
    5. Click and drag to connect columns.

    To transfer LinkedIn data, right-click in the workspace and then click Run Mapping.

Ready to get started?

Download a free trial of the LinkedIn Driver to get started:

 Download Now

Learn more:

LinkedIn Icon LinkedIn JDBC Driver

A straightforward interface to connect any Java application with LinkedIn integration capabilities including People, Profiles, Companies, Groups, Jobs, and more!