Data Lineage Extraction uses AI to reconstruct data lineage, enabling reliable impact analysis, by extracting lineage from ETL code, metadata, and schemas, across data architecture and catalog.
Data teams cannot reliably trace where data comes from because lineage is locked inside ETL code, pipeline metadata, and schemas. The gaps break impact analysis, slow incident response, and undermine regulatory data traceability.
The AI performs extraction on ETL code, pipeline metadata, schemas, and data catalog entries, returning structured lineage relationships between sources, transformations, and outputs.
Increases lineage coverage rate across critical data assets and shortens time to perform impact analysis.
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