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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 Google Tasks inside of a SQL Server SSIS workflow to transfer Google Tasks data into a Microsoft SQL Server database.
To get started, add a new Google Tasks 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 Google Tasks connection properties in a connection manager.
Start by setting the Profile connection property to the location of the Google Tasks Profile on disk (e.g. C:\profiles\GoogleTasks.apip). Next, set the ProfileSettings connection property to the connection string for Google Tasks (see below).
In the Google Cloud Console, enable the Google Tasks API and create OAuth 2.0 credentials to obtain your Client ID and Client Secret.
๐ Configuring a connection (Salesforce is shown).Follow the steps below to specify the query to be used to extract Google Tasks data.
SELECT Id, Kind FROM TaskLists WHERE Title = 'My Tasks'๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the Google Tasks data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with Google Tasks data.
๐ The completed import. (Salesforce is shown.)Connect to live data from Google Tasks with the API Driver
Connect to Google Tasks