On September 22, join AWS solutions architects Sandeep Raveesh, Paolo Di Francesco, and Manuwai Korber for a full breakdown of the architecture: how a SageMaker Processing job versions a dataset with DVC and how that version gets logged to MLflow during training. Finally, how the resulting chain lets you answer “which data trained this model?” with a lookup instead of a multi-day investigation. Score! 
You can register for the event here: https://dvc.org/webinars/end-to-end-lineage-aws-dvc-mlflow