Amazon SageMaker Unified Studio now supports OpenLineage compatible data lineage in IAM-based domains, capturing lineage events from Apache Spark jobs run on Amazon EMR, AWS Glue, SageMaker Visual ETL, and notebooks. This capability is already available in IAM Identity Center-based domains. The interactive lineage graph provides an aggregate visual representation of how data moves from source to consumption, with configurable graph depth, event timestamp mode for detailed column-level lineage, and a dataset-only view for simplified visualization. For both IAM-based and IAM Identity Center-base
The increasing complexity of data pipelines and stricter regulatory environments are driving the demand for better data governance and visibility tools within AI/ML platforms.
This enhancement improves auditability and transparency for AI model development, which is critical for enterprise adoption and compliance in sensitive industries.
Data professionals using Amazon SageMaker can now more easily track the origin and transformation history of their data, streamlining debugging, compliance, and model explainability efforts.
- · AWS customers with complex data pipelines
- · Data scientists and MLOps engineers
- · Auditors and compliance officers
- · Amazon Web Services
- · Companies offering only proprietary, closed-source data lineage tools
Increased enterprise trust and adoption of SageMaker for regulated workloads.
Reduced time and cost associated with data governance and audit preparation for AI/ML projects.
Potential for new startups to build specialized services on top of SageMaker's OpenLineage integration for advanced data governance.
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Read at AWS What's New