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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 Spanner inside of a SQL Server SSIS workflow to transfer Google Spanner data into a Microsoft SQL Server database.
To get started, add a new Google Spanner 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 Spanner connection properties in a connection manager.
Google Spanner uses the OAuth authentication standard. To authenticate using OAuth, you can use the embedded credentials or register an app with Google.
See the Getting Started guide in the CData driver documentation for more information.
๐ Configuring a connection (Salesforce is shown).Follow the steps below to specify the query to be used to extract Google Spanner data.
SELECT Name, TotalDue FROM Customer๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the Google Spanner data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with Google Spanner data.
๐ The completed import. (Salesforce is shown.)Download a free trial of the Spanner SSIS Component to get started:
Download NowLearn more:
๐ Google Cloud Spanner IconPowerful SSIS Source & Destination Components that allows you to easily connect SQL Server with live Google Cloud Spanner databases through SSIS Workflows.
Use the Spanner Data Flow Components to synchronize with Spanner data. Perfect for data synchronization, local back-ups, workflow automation, and more!