The new feature captures schema and transformation histories from Spark executions across various EMR environments and AWS Glue, allowing users to trace data processing paths, identify root causes of issues, and assess impact of changes visually or via API.
Available in all SageMaker Unified Studio regions, this capability enhances data governance and debugging workflows in large-scale big data processing, improving reliability and transparency in Spark-based analytics pipelines.
Source & further reading
Apache Spark lineage now available in Amazon SageMaker Unified Studio for IDC based domains ↗Source published 2026-02-04. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.