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Data lineage enables transparency and traceability in data management systems. It plays a central role in areas such as data integration, compliance, and data quality.
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Theoretical construct: explains a term, principle, or mental model.
What organizes, connects, or makes decisions possible.
Data lineage records where data comes from, which processing steps it passes through, and where it is used.
The approach grew from database provenance, ETL documentation, and provenance research in science. W3C PROV and OpenLineage turned those trails into machine-readable models for distributed data pipelines.
Follow a data value like a parcel: its sender, transfer stations, labels, and recipients together describe its traceable journey.
The system or dataset from which a value comes.
Processing that changes values or structure.
Evidence of how an outcome was created and passed on.
Lineage speeds up root-cause analysis, impact checks, and audits. Complete tracing requires instrumentation and maintenance, and hidden dynamic steps can remain outside the trail.
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