You already know how to build, orchestrate, and monitor data pipelines in Azure Data Factory (ADF). But how do you go from basic, hardcoded data pipelines to making your solution dynamic and reusable?

 

In this session, we will dive straight into some of the more advanced features of Azure Data Factory. How do you parameterize your linked services, datasets, and pipelines? What is the difference between parameters and variables, and when should you use them? And how do the expression language and built-in functions really work?

 

We will answer these questions by going through an existing solution step-by-step and gradually making it dynamic and reusable. Along the way, we will cover best practices and lessons learned.

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