Amazon SageMaker now offers enhancements to the machine learning (ML) lineage tracking capability that enables customers to track and query the lineage of artifacts such as data, features, and models across an ML workflow. Now, customers can retrieve the end-to-end lineage graph spanning the entire workflow from data preparation to model deployment through a single query. This feature eliminates undifferentiated heavy lifting needed to retrieve lineage information one workflow step at a time and manually stitch them all together. Customers can also retrieve lineage information for segments of the workflow by defining a step as the focal point and querying the lineage of the steps that are upstream or downstream of that focal point. For instance, customers can define a model as the focal entity and retrieve the location of the raw data set from which features were extracted to train that model.
Source:: Amazon AWS