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