In this session, you will learn how to use Spark SQL and Python to create notebooks which are called from integration pipelines to create an efficient, scalable, maintainable solution to create data migration and transfer tasks.
You will want to incorporate this design pattern into your Azure data development environments when you see how easy it is to create and read this code.
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