Welcome to Part 4 of the Azure Data Factory Tutorial for Beginners! In this episode, we focus on Data Flows and explore key transformations that help you manipulate and process data effectively. We’ll cover:
✅ Alter Row – Modify, delete, or insert rows dynamically
✅ Filter – Exclude unnecessary data from your pipeline
✅ Derived Column – Create new columns with custom expressions
✅ Aggregate – Perform grouping and summarization
✅ Join Transformation – Combine data from multiple sources
✅ Lookup Transformation – Fetch reference data efficiently
By the end of this tutorial, you'll have a solid grasp of Data Flows and be able to build more advanced ETL pipelines in Azure Data Factory. Let’s dive in!
Sample CSV file:
https://raw.githubusercontent.com/djpmsft/adf-ready-demo/master/moviesDB.csv