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Answer: Integrate Databricks with Azure Purview for comprehensive end-to-end data lineage visibility.
Integrating Databricks with Azure Purview is the most effective method for ensuring comprehensive tracking of data lineage within a lakehouse to meet governance and compliance requirements. Azure Purview is a data governance service that facilitates the discovery and tracking of data assets across an organization's environment. This integration provides end-to-end data lineage visibility, crucial for understanding the data's journey from source to destination, including any transformations. It automatically captures and visualizes data flow, ensuring data quality, regulatory compliance, and a clear audit trail. Azure Purview also offers data classification and discovery features, making it a holistic solution for governance. Alternatives like custom Spark jobs or third-party tools may require more manual effort or lack the seamless integration provided by Azure Purview, making it the superior choice for efficient and effective data lineage tracking.
Author: LeetQuiz Editorial Team
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To meet governance and compliance requirements, what is the most effective method for tracking data lineage within a lakehouse?
A
Develop custom Spark jobs to manually record data movements and transformations.
B
Use third-party tools that specialize in data lineage tracking and integrate with Azure Databricks.
C
Integrate Databricks with Azure Purview for comprehensive end-to-end data lineage visibility.
D
Enable Delta Lake’s transaction log feature for automatic lineage tracking.
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