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When dealing with evolving nested data structures in JSON format within your lakehouse, which strategy ensures efficient schema evolution management while keeping backward compatibility for downstream users?
A
Store JSON data in its native format, leveraging schema-on-read capabilities and dynamic schema inference to handle evolution.
B
Flatten JSON data into relational tables, managing schema changes through ETL versioning and backward-compatible views.
C
Utilize a schema registry that tracks versions of nested structures, applying transformations at query time to adapt to the expected schema.
D
Implement a versioned Delta Lake approach, capturing each schema evolution as a new version and using views to abstract schema complexities from users.
