Back Up Redshift data to SQL Server through SSIS

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Amazon Redshift ADO.NET Provider

Rapidly create and deploy powerful .NET applications that integrate with Amazon Redshift data.



Easily back up data to SQL Server using the CData ADO.NET Provider for Redshift. This example uses an SSIS workflow to populate a database with Redshift data.

The CData ADO.NET Provider for Redshift connects Redshift data to applications that provide backup, reporting, full-text search, analytics, and more.

This example demonstrates how to use the provider for Redshift inside of a SQL Server SSIS workflow to directly transfer Redshift data into a Microsoft SQL Server database. The exact same procedure outlined below can be used with any CData ADO.NET Data Providers to connect SQL Server directly with remote data via SSIS.

  1. Open Visual Studio and create a new Integration Services project.
  2. Add a new Data Flow task from the toolbox onto the Control Flow screen.
  3. In the Data Flow screen, add an ADO.NET Source and an OLE DB Destination from the toolbox.

  4. Add a new connection and select .NET Providers\CData ADO.NET Provider for Redshift.
  5. In the connection manager, enter the connection details for Redshift data.

    To connect to Redshift, set the following:

    • Server: Set this to the host name or IP address of the cluster hosting the Database you want to connect to.
    • Port: Set this to the port of the cluster.
    • Database: Set this to the name of the database. Or, leave this blank to use the default database of the authenticated user.
    • User: Set this to the username you want to use to authenticate to the Server.
    • Password: Set this to the password you want to use to authenticate to the Server.

    You can obtain the Server and Port values in the AWS Management Console:

    1. Open the Amazon Redshift console (http://console.aws.amazon.com/redshift).
    2. On the Clusters page, click the name of the cluster.
    3. On the Configuration tab for the cluster, copy the cluster URL from the connection strings displayed.

  6. Open the DataReader editor and set the following information:

    • ADO.NET connection manager: In the Connection Managers menu, select the Data Connection you just created.
    • Data access mode: Select 'SQL command'.
    • SQL command text: In the DataReader Source editor, open the Component Properties tab and enter a SELECT command, such as the one below:

      SELECT ShipName, ShipCity FROM Orders

  7. Close the DataReader editor and drag the arrow below the DataReader Source to connect it to the OLE DB Destination.
  8. Open the OLE DB Destination and enter the following information in the Destination Component Editor.

    • Connection manager: Add a new connection. Enter your server and database information here. In this example, SQLExpress is running on a separate machine.
    • Data access mode: Set your data access mode to "table or view" and select the table or view to populate in your database.
  9. Configure any properties you wish on the Mappings screen.

  10. Close the OLE DB Destination Editor and run the project. After the SSIS task has finished executing, your database will be populated with data obtained from Redshift data.