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Using SQL Server as a backup for critical business data provides an essential safety net against loss. Backing up data to SQL Server enables business users to more easily connect that data with features like reporting, analytics, and more.
This example demonstrates how to use the CData SSIS Tasks for Landbot inside of a SQL Server SSIS workflow to transfer Landbot data into a Microsoft SQL Server database.
To get started, add a new Landbot source and SQL Server ADO.NET destination to a new data flow task.
๐ The Data Flow task used in this example. (Salesforce is shown.)Follow the steps below to save Landbot connection properties in a connection manager.
Landbot uses token-based authentication. Obtain your agent token from Settings > Account in your Landbot account.
Set the following connection properties:
Profile=C:\profiles\Landbot.apip;AuthScheme=APIKey;APIKey=your_agent_token_here;๐ Configuring a connection (Salesforce is shown).
Follow the steps below to specify the query to be used to extract Landbot data.
SELECT , FROM Agents WHERE = ''๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the Landbot data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with Landbot data.
๐ The completed import. (Salesforce is shown.)Connect to live data from Landbot with the API Driver
Connect to Landbot