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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 Oracle inside of a SQL Server SSIS workflow to transfer Oracle data into a Microsoft SQL Server database.
To get started, add a new Oracle 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 Oracle connection properties in a connection manager.
To connect to Oracle, you'll first need to update your PATH variable and ensure it contains a folder location that includes the native DLLs. The native DLLs can be found in the lib folder inside the installation directory. Once you've done this, set the following to connect:
Follow the steps below to specify the query to be used to extract Oracle data.
SELECT CompanyName, City FROM Customers WHERE Country = US๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the Oracle data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with Oracle data.
๐ The completed import. (Salesforce is shown.)Download a free trial of the Oracle SSIS Component to get started:
Download NowLearn more:
๐ Oracle IconPowerful SSIS Source & Destination Components that allows you to easily connect SQL Server with Oracle databases through SSIS Workflows.
Use the Oracle Data Flow Components to synchronize with Oracle RDBMS. Perfect for data synchronization, local back-ups, workflow automation, and more!