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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 Contacts inside of a SQL Server SSIS workflow to transfer Google Contacts data into a Microsoft SQL Server database.
To get started, add a new Google Contacts 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 Contacts connection properties in a connection manager.
You can connect to Google APIs on behalf of individual users or on behalf of a domain. Google uses the OAuth authentication standard. See the "Getting Started" section of the help documentation for a guide.
๐ Configuring a connection (Salesforce is shown).Follow the steps below to specify the query to be used to extract Google Contacts data.
SELECT Summary, StartDateTime FROM Friends๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the Google Contacts data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with Google Contacts data.
๐ The completed import. (Salesforce is shown.)Download a free trial of the Google Contacts SSIS Component to get started:
Download NowLearn more:
๐ Google Contacts IconPowerful SSIS Source & Destination Components that allow you to easily connect SQL Server with live Google Contacts data through SSIS Workflows.
Use the Google Contacts Data Flow Components to access all kinds of data. Perfect for data synchronization, local back-ups, reporting, and more!