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Back Up Quandl data to SQL Server through SSIS

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

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

This example demonstrates how to use the provider for Quandl inside of a SQL Server SSIS workflow to directly transfer Quandl 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 Quandl.
  5. In the connection manager, enter the connection details for Quandl data.

    Quandl uses an API key for authentication. See the help documentation for a guide to obtaining the APIKey property.

    Additionally, set the DatabaseCode connection property to the code identifying the Database whose Datasets you want to query with SQL. You can search the available Databases by querying the Databases view.

  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 Date, Volume FROM AAPL

  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 Quandl data.