I'm currently working on an ETL process where I need to run a Python script within Azure Data Factory (ADF). The script involves data extraction, transformation, and loading (ETL) tasks. I’m aware that ADF supports various ways to execute custom code, but I’m unsure about the best approach to run my Python script efficiently.
Could someone help me understand the different approaches to run a Python ETL script in ADF? Additionally, what factors should I consider when choosing the best approach for my specific use case?