Data Provenance

Data Provenance refers to the documentation and tracking of the origins, history, and transformations of data throughout its lifecycle. It encompasses the processes, sources, and changes that data undergoes, providing insight into its quality, reliability, and authenticity. By ensuring transparency and traceability, data provenance is crucial for compliance, data governance, and decision-making in various fields, including data analytics, machine learning, and research. Implementing robust data provenance practices enhances data integrity, fosters trust, and supports informed business strategies in an increasingly data-driven world.

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