lineage-and-provenance

Lineage and Provenance

This skill is covered in detail in the main Data Lineage skill.

Please refer to: 43-data-reliability/data-lineage/SKILL.md

That skill covers:

• What is data lineage and why it matters
• Types of lineage (table-level, column-level, row-level/provenance)
• Lineage capture methods (SQL parsing, ETL instrumentation, API logging)
• Data lineage tools (OpenLineage, Marquez, Apache Atlas, DataHub, Amundsen, dbt)
• Lineage visualization (DAG representation, dependency graphs)
• Impact analysis ("What breaks if I change this?")
• Lineage for debugging data quality issues
• Lineage metadata (source, transformations, target, timestamp)
• Lineage in data pipelines (Airflow, dbt, Spark)
• Lineage for compliance (GDPR, data residency, audit trails)
• Lineage API and query interface
• Real-world lineage examples

Related Skills

• 43-data-reliability/data-lineage (Main skill)
• 43-data-reliability/data-contracts
• 43-data-reliability/schema-management