![]() ![]() During transformation, data is cleansed and standardized, which is essential for maintaining data quality. The extract phase must respect privacy and security regulations when sourcing data. Governance involves setting policies and standards for data handling, and ETL processes must align with these guidelines to ensure compliance. How does ETL (Extract, Transform, Load) fit into data management governance?ĮTL is a critical component of data management governance, as it establishes the framework for data quality, consistency, and security throughout the lifecycle of data. ![]()
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