Data Lineage
Tracking the origin, movement, and transformations of data through a pipeline.
Data lineage is the end-to-end record of where data originates, how it moves between systems, and what transformations are applied before reaching a model or output. Amazon SageMaker ML Lineage Tracking automatically captures relationships among training datasets, processing jobs, models, and endpoints, storing them as a directed acyclic graph of artifacts and associations that teams query for compliance audits or debugging. Provenance asks “where did this data come from?”; lineage adds every downstream transformation. On the AIF-C01 exam, lineage supports responsible AI by enabling reproducible training conditions and auditable, trustworthy pipelines.
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