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name: Lineage and Provenance description: See the main Data Lineage skill for comprehensive coverage of data lineage tracking 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

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Related Skills

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