Export Data from SQL Server to Instagram through SSIS

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 Instagram allows you to easily transfer Instagram data. In this article you will export data from SQL Server to Instagram.

Add Source and Destination Components

To get started, add a new ADO.NET Source control and a new Instagram Destination control to the data flow task.

Configure the ADO.NET Source

Follow the steps below to specify properties required to connect to the SQL Server instance.

1. Open the ADO.NET Source and add a new connection. Enter your server and database information here.
2. In the Data access mode menu, select "Table or view" and select the table or view to export into Instagram.
3. Close the ADO NET Source wizard and connect it to the destination component.

Create a New Connection Manager for Instagram

Follow the steps below to set required connection properties in the Connection Manager.

1. Create a new connection manager: In the Connection Manager window, right-click and then click New Connection. The Add SSIS Connection Manager dialog is displayed.
2. Select CData Instagram Connection Manager in the menu.
3. Configure the connection properties.

   Instagram uses the OAuth 2 authentication standard. You will need to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL by registering an app with Instagram. See the help documentation for a guide.

Configure the Instagram Destination

In the destination component Connection Manager, define mappings from the SQL Server source table into the Instagram destination table and the action you want to perform on the Instagram data. In this article, you will insert Media entities to Instagram.

1. Double-click the Instagram destination to open the destination component editor.
2. In the Connection Managers tab, select the connection manager previously created.
3. In the Use a Table, menu, select Media. In the Action menu, select Insert.
4. On the Column Mappings tab, configure the mappings from the input columns to the destination columns.

Run the Project

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.