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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 Rootly inside of a SQL Server SSIS workflow to transfer Rootly data into a Microsoft SQL Server database.
To get started, add a new Rootly 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 Rootly connection properties in a connection manager.
To authenticate using an API key, you will need to obtain your API key from your Rootly account settings.
To get your API key:
After setting the following connection properties, you are ready to connect:
Profile=Rootly.apip;Authscheme=APIKey;ProfileSettings="APIKey=your_apikey";๐ Configuring a connection (Salesforce is shown).
Follow the steps below to specify the query to be used to extract Rootly data.
SELECT , FROM Incidents WHERE Status = 'started'๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the Rootly data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with Rootly data.
๐ The completed import. (Salesforce is shown.)Connect to live data from Rootly with the API Driver
Connect to Rootly