I'm starting a project to migrate our Compliance model - Python code (Pandas-based) from AWS SageMaker to the Azure ecosystem.

Source: AWS (SageMaker, Airflow)
Target: Azure (Databricks, ADLS)

I'm evaluating the high-level approach and would appreciate your guidance. The core options I'm considering are:

1. Lift & Shift: Minimal code changes, focusing on getting it running on Databricks quickly.

2. Refactor & Modernize: Adapting the code to leverage native Azure/Databricks capabilities (like Spark) for better long-term performance.

What are your thoughts on the best path forward?

Can you share your experiance ?

#sagemaker #aws #migration