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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 Guru inside of a SQL Server SSIS workflow to transfer Guru data into a Microsoft SQL Server database.
To get started, add a new Guru 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 Guru connection properties in a connection manager.
Start by setting the Profile connection property to the location of the Guru Profile on disk (e.g. C:\profiles\Guru.apip). Next, set the ProfileSettings connection property to the connection string for Guru (see below).
In Guru, navigate to Settings > API and click Create New API Token. Use your email address as the User and the generated token as the Password.
๐ Configuring a connection (Salesforce is shown).Follow the steps below to specify the query to be used to extract Guru data.
SELECT User, Type FROM Analytics WHERE TeamId = 'team-12345'๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the Guru data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with Guru data.
๐ The completed import. (Salesforce is shown.)Connect to live data from Guru with the API Driver
Connect to Guru