Data lineage includes the data's origins, what happens to it and where it moves over time. Data lineage provides visibility while greatly simplifying the ability to trace errors back to the root cause in a data analytics process.
It also enables replaying specific portions or inputs of the data flow for step-wise debugging or regenerating lost output. Database systems use such information, called data provenance, to address similar validation and debugging challenges. Data provenance refers to records of the inputs, entities, systems, and processes that influence data of interest, providing a historical record of the data and its origins. The generated evidence supports forensic activities such as data-dependency analysis, error/compromise detection and recovery, auditing, and compliance analysis.
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