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SQL Server databases are commonly used to store enterprise records. It is often necessary to move this data to other locations. The CData SSIS Task for FTP allows you to easily transfer FTP data. In this article you will export data from SQL Server to FTP.
To get started, add a new ADO.NET Source control and a new FTP Destination control to the data flow task.
π The source and destination components used in this example.Follow the steps below to specify properties required to connect to the SQL Server instance.
Follow the steps below to set required connection properties in the Connection Manager.
To connect to FTP or SFTP servers, specify at least RemoteHost and FileProtocol. Specify the port with RemotePort.
Set User and Password to perform Basic authentication. Set SSHAuthMode to use SSH authentication. See the Getting Started section of the data provider help documentation for more information on authenticating via SSH.
Set SSLMode and SSLServerCert to secure connections with SSL.
The data provider lists the tables based on the available folders in your FTP server. Set the following connection properties to control the relational view of the file system:
Stored Procedures are available to download files, upload files, and send protocol commands. See the Data Model chapter of the FTP data provider documentation for more information.
In the destination component Connection Manager, define mappings from the SQL Server source table into the FTP destination table and the action you want to perform on the FTP data. In this article, you will insert MyDirectory entities to FTP.
You can now run the project. After the SSIS Task has finished executing, data from your SQL table will be exported to the chosen table.
π The SQL Server table to export into FTP.Download a free trial of the FTP SSIS Component to get started:
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π FTP IconPowerful SSIS Source & Destination Components that allow you to easily connect SQL Server with remote files and directories through SSIS Workflows.
Use the FTP Data Flow Components to access all kinds of data. Perfect for data synchronization, local back-ups, reporting, and more!