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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 Apify inside of a SQL Server SSIS workflow to transfer Apify data into a Microsoft SQL Server database.
To get started, add a new Apify 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 Apify connection properties in a connection manager.
Start by setting the Profile connection property to the location of the Apify Profile on disk (e.g. C:\profiles\Apify.apip). Next, set the ProfileSettings connection property to the connection string for Apify (see below).
Obtain your API token from the Apify Console by navigating to Settings and generating a new API token.
๐ Configuring a connection (Salesforce is shown).Follow the steps below to specify the query to be used to extract Apify data.
SELECT Id, ActorId FROM ActorBuilds WHERE Status = 'SUCCEEDED'๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the Apify data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with Apify data.
๐ The completed import. (Salesforce is shown.)Connect to live data from Apify with the API Driver
Connect to Apify