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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 Ads inside of a SQL Server SSIS workflow to transfer Google Ads data into a Microsoft SQL Server database.
To get started, add a new Google Ads 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 Ads connection properties in a connection manager.
Google uses the OAuth authentication standard. To access Google APIs on behalf on individual users, you can use the embedded credentials or you can register your own OAuth app.
OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, register an application to obtain the OAuth JWT values.
In addition to the OAuth values, specify the DeveloperToken and ClientCustomerId.
See the "Getting Started" chapter of the help documentation for a guide to using OAuth.
๐ Configuring a connection (Salesforce is shown).Follow the steps below to specify the query to be used to extract Google Ads data.
SELECT Device, Clicks FROM CampaignPerformance๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the Google Ads data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with Google Ads data.
๐ The completed import. (Salesforce is shown.)Download a free trial of the Google AdWords SSIS Component to get started:
Download NowLearn more:
๐ Google AdWords IconPowerful SSIS Components that allow you to easily connect SQL Server with live Google AdWords data through SSIS Workflows.
Use the Google AdWords Data Flow Components to access all kinds of real-time AdWords performance and analysis data. Perfect for data synchronization, local back-ups, reporting, and more!