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In the context of implementing lookup tables in Delta Lake within a Microsoft Azure environment, consider a scenario where your organization is optimizing a data model for both performance and integrity. The project has key constraints including cost efficiency, compliance with data governance policies, and the need for scalable solutions. Discuss the trade-offs between normalized and denormalized data models in this scenario. Additionally, provide a code snippet demonstrating how to create a lookup table in Delta Lake and join it with a main table to retrieve additional information. Choose the option that best describes the trade-offs for normalized data models under these constraints. (Choose one)
A
Normalized data models enhance data integrity and minimize redundancy, potentially at the cost of increased query complexity and performance overhead.
B
Denormalized data models offer simplified queries and faster performance but may compromise data consistency and require more storage, impacting cost efficiency.
C
Utilizing lookup tables can optimize query performance by minimizing join operations, though it introduces additional maintenance overhead.
D
Implementing lookup tables centralizes reference data, simplifying access but may complicate the data model and increase maintenance efforts.