π₯ *Ace Your Certification Exams β Free Practice Questions!* π Get ahead with free practice questions for certification exams π https://certiace.com/ β *Enjoying the Content? Support the Channel!* Buy me a coffee and keep the knowledge flowing! π https://buymeacoffee.com/aleksipartanentech π¨βπΌ *Follow Me on LinkedIn!* π https://www.linkedin.com/in/aleksi-partanen/ π *Access Learning Materials (Files, Code, etc.)* πΎ Download helpful resources here: π https://drive.google.com/drive/folders/137oJUhjRJhZZsnRln8tlJBcl1OYc2X2C?usp=sharing π *More of My Content:* π₯ https://www.youtube.com/playlist?list=PLlqsZd11LpUES4AJG953GJWnqUksQf8x2 π₯ https://www.youtube.com/playlist?list=PLlqsZd11LpUHKLILXjfW5ORjNiksC3GWZ π₯ https://www.youtube.com/playlist?list=PLlqsZd11LpUEq26ZswRz58k5O5HwoSDvA π₯ https://youtu.be/0PjuNHYiX00 π₯ https://youtu.be/1PGE9bWqY2g π₯ https://youtu.be/qoVhkiU_XGc π All the Videos: https://www.youtube.com/@AleksiPartanenTech/videos Mastering Parameters and Variables in Azure Data Factory In this comprehensive tutorial, Aleksi explains the key concepts of parameters and variables in Azure Data Factory, essential tools for creating dynamic and efficient pipelines. Learn how to reduce complexity in your pipelines by parameterizing datasets and using variables effectively. What Youβll Learn: π· The difference between parameters and variables π· How to create parameterized datasets to reduce pipeline complexity π· The various parameter types in Azure Data Factory (String, Integer, Array, etc.) π· Using Global Parameters for reusable, factory-wide settings π· How to set and use pipeline variables during pipeline execution π· Practical demo: Creating a parameterized pipeline to copy files dynamically Key Takeaways: β¨ Learn how parameters and variables enhance pipeline flexibility β¨ Discover the types of parameters and where they can be applied (Pipeline, Dataset, Linked Services) β¨ Explore the Set Variable and Append Variable activities for managing dynamic data β¨ Practical insights into passing values between pipelines, datasets, and activities Related Hashtags: #AzureDataFactory #DynamicPipelines #DataEngineering #CloudDataIntegration #AzureCloud