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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 Airtable inside of a SQL Server SSIS workflow to transfer Airtable data into a Microsoft SQL Server database.
To get started, add a new Airtable 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 Airtable connection properties in a connection manager.
APIKey, BaseId and TableNames parameters are required to connect to Airtable. ViewNames is an optional parameter where views of the tables may be specified.
Follow the steps below to specify the query to be used to extract Airtable data.
SELECT Id, Column1 FROM SampleTable_1 WHERE Column2 = 'SomeValue'๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the Airtable data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with Airtable data.
๐ The completed import. (Salesforce is shown.)Download a free trial of the Airtable SSIS Component to get started:
Download NowLearn more:
๐ Airtable IconPowerful SSIS Source & Destination Components that allows you to easily connect SQL Server with Airtable through SSIS Workflows.
Use the Airtable Data Flow Components to synchronize with Airtable Tables, and more. Perfect for data synchronization, local back-ups, workflow automation, and more!