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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 Strava inside of a SQL Server SSIS workflow to transfer Strava data into a Microsoft SQL Server database.
To get started, add a new Strava 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 Strava connection properties in a connection manager.
To authenticate to Strava, and connect to your own data or to allow other users to connect to their data, you can use the OAuth standard.
You must create a custom OAuth application to connect to Strava. To create a custom OAuth application:
After setting the following connection properties, you are ready to connect:
Profile=C:\profiles\Strava.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackURL=http://localhost:33333;๐ Configuring a connection (Salesforce is shown).
Follow the steps below to specify the query to be used to extract Strava data.
SELECT , FROM Athlete WHERE = ''๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the Strava data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with Strava data.
๐ The completed import. (Salesforce is shown.)Connect to live data from Strava with the API Driver
Connect to Strava