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Using SQL Server as a backup for critical business data provides an essential safety net against loss. Backing up data to SQL Server enables business users to more easily connect that data with features like reporting, analytics, and more.
This example demonstrates how to use the CData SSIS Tasks for LinkedIn inside of a SQL Server SSIS workflow to transfer LinkedIn data into a Microsoft SQL Server database.
To get started, add a new LinkedIn source and SQL Server ADO.NET destination to a new data flow task.
๐ The Data Flow task used in this example. (Salesforce is shown.)Follow the steps below to save LinkedIn connection properties in a connection manager.
Follow the steps below to specify the query to be used to extract LinkedIn data.
SELECT VisibilityCode, Comment FROM CompanyStatusUpdates๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the LinkedIn data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with LinkedIn data.
๐ The completed import. (Salesforce is shown.)Download a free trial of the LinkedIn SSIS Component to get started:
Download NowLearn more:
๐ LinkedIn IconPowerful SSIS Source & Destination Components that allow you to easily connect SQL Server with live LinkedIn data through SSIS Workflows.
Use the LinkedIn Data Flow Components to synchronize with LinkedIn People, Profiles, Companies, Groups, Jobs, etc. Perfect for data synchronization, local back-ups, workflow automation, and more!