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When designing a data lakehouse for cross-geographical data analysis with strict data locality regulations, what is the best approach to ensure data compliance while optimizing analytical performance across different regions?
A
Utilize a federated query system across regional lakehouses, caching common datasets in each region for performance.
B
Partition data by geography in a global lakehouse, implementing row-level security to enforce data access controls based on user location.
C
Replicate data across regional lakehouses, applying data masking and anonymization to comply with local regulations.
D
Implement geo-partitioning with automated data lifecycle policies that move data to specific regional lakehouses based on access patterns.
