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Answer: Data lineage provides a detailed record of data’s origin, transformations, and movement across systems, enabling compliance checks, impact analysis, and ensuring data integrity.
Data lineage is the process of tracking the complete lifecycle of data — from its source, through all transformations, to its final destination. This is critical for data governance because it allows organizations to: Trace errors back to their source Assess the impact of changes Ensure compliance with regulations (e.g., GDPR, HIPAA, SOX) Maintain trust in data quality Example Scenario: In a financial institution, regulatory reports must be based on accurate, unaltered data. If a regulator questions a number in a report, data lineage allows the data engineering team to trace that number back through all transformations to the original transaction, proving compliance and integrity.
Author: LeetQuiz Editorial Team
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Which statement best describes data lineage and its role in data governance in a data engineering environment?
A
Data lineage provides a detailed record of data’s origin, transformations, and movement across systems, enabling compliance checks, impact analysis, and ensuring data integrity.
B
Data lineage only documents where data is stored in a data lake or warehouse, without tracking transformations or usage.
C
Data lineage focuses solely on tracking schema changes in source systems and does not include downstream transformations or reporting.
D
Data lineage is primarily used for optimizing query performance and is not relevant to compliance or governance.