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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 SAS xpt inside of a SQL Server SSIS workflow to transfer SAS xpt data into a Microsoft SQL Server database.
To get started, add a new SAS xpt 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 SAS xpt connection properties in a connection manager.
You can connect to local SASXpt file by setting the URI to a folder containing SASXpt files.
You can connect to Amazon S3 source to read SASXpt files. Set the following properties to connect:
You can connect to ADLS Gen2 to read SASXpt files. Set the following properties to connect:
Follow the steps below to specify the query to be used to extract SAS xpt data.
SELECT Id, Column1 FROM SampleTable_1 WHERE Column2 = '100'๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the SAS xpt data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with SAS xpt data.
๐ The completed import. (Salesforce is shown.)Download a free trial of the SASxpt SSIS Component to get started:
Download NowLearn more:
๐ SAS XPORT files IconPowerful SSIS Source & Destination Components that allows you to easily connect SQL Server with SAS xpt (XPORT) files through SSIS Workflows.
Use the SASxpt Data Flow Components to synchronize with SAS xpt (XPORT) file data. Perfect for data synchronization, local back-ups, workflow automation, and more!