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