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In a federated lakehouse architecture designed for cross-domain analytics, what strategy ensures seamless access and optimal query performance across data stored in various locations and formats?
A
Leverage data virtualization to create a logical overlay on physical data stores, enhancing query efficiency based on access patterns.
B
Duplicate data across domains into a central lakehouse, prioritizing accessibility over storage efficiency.
C
Deploy Apache Spark to read diverse data sources and formats, with caching of intermediate results to boost performance.
D
Create a global indexing and metadata layer that hides physical storage complexities, enabling unified querying.
