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AnalysisGovernance, catalog & semantic layerAWS
AWS Big Data Blog · Read source ↗

AWS introduces a method to manage fine-grained access control for enterprise lakehouses using SageMaker Unified Studio and AWS Lake Formation. This approach aims to streamline governance by integrating IAM Identity Center, tag-based access control, and trusted identity propagation, ensuring automated and auditable access management.

MyDataWork POV — The promise of automated, least-privilege access in sprawling lakehouses sounds appealing, but the devil is in the execution. AWS's reliance on tag-based access control and identity propagation isn't new, yet it often falters in dynamic environments where data and roles evolve rapidly. The claim of seamless integration across SageMaker and Lake Formation feels optimistic without addressing the complexity of maintaining consistent tagging and identity mapping across diverse business domains. Until proven, this remains a governance theory more than a practical solution.
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