Back Up SendPulse data to SQL Server through SSIS

This article illustrates using the SendPulse ADO.NET Data Provider within a SQL Server SSIS workflow for the direct transfer of SendPulse data to a Microsoft SQL Server database. It's worth noting that the identical process detailed below is applicable to any CData ADO.NET Data Providers, enabling the direct connection of SQL Server with remote data through 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.

   👁 The components used in the data task in this example.
   
4. Add a new connection and select .NET Providers\CData ADO.NET Provider for SendPulse.

5. In the connection manager, enter the connection details for SendPulse data.

   Start by setting the Profile connection property to the location of the SendPulse Profile on disk (e.g. C:\profiles\SendPulse.apip). Next, set the ProfileSettings connection property to the connection string for SendPulse (see below).

   SendPulse API Profile Settings

   Log into your SendPulse account, navigate to Profile > Account Settings > API, and retrieve your API ID and Secret to use as your OAuth Client ID and Secret.

   👁 Connection properties in the Connection Manager dialog. (Salesforce is shown.)
   

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 AutoresponderId, AutoresponderName FROM AutomationFlowsStatistics WHERE AutoresponderStatus = '1'

   👁 The connection and query specified in the source component properties. (Salesforce is shown.)
   
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.

   👁 Input and destination columns in the OLE DB Destination Editor.
   
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 SendPulse data.