Provenance
Data provenance (also referred to as “data lineage”) is metadata that is paired with records that details the origin, changes to, and details supporting the confidence or validity of data. Data provenance is important for tracking down errors within data and attributing them to sources. Additionally, data provenance can be useful in reporting and auditing for business and research processes.
References
-
Data lineage tracks the transformations of data throughout its lifecycle. But, data provenance focuses on the derivation history of a data product from its original sources.🔗atlan.com -
Data provenance (also referred to as “data lineage”) is metadata that is paired with records that details the origin, changes to, and details supporting the confidence or validity of da…🔗Diffblog -
A guide to data lineage vs. data provenance – two crucial techniques in the management of data.🔗DataGalaxy - Data Knowledge Workplace -
In a business environment where online trust is low, regulations are forcing compliance, and AI is more important than ever, provenance plays a foundational role.🔗DATAVERSITY -
Data Provenance is the record-keeping of the origin, movement, and transformation of data throughout its lifecycle, providing visibility and traceability.🔗dremio.com -
Data provenance allows analytics and AI to be effective and trustworthy.🔗Forbes -
There are few big data provenance challenges which companies need to overcome to have a successful platform.🔗knowledgenile.com -
Data provenance refers to the history or lineage of a piece of data, documenting its origins, movements, and transformations.🔗Macrometa