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In the context of IoT devices that frequently update their firmware, altering the data structure they emit, what is an effective strategy for a lakehouse schema to automatically accommodate these evolving data formats without manual adjustments?
A
Store raw data in a semi-structured format, applying transformations to a structured format during downstream processing.
B
Automatically trigger schema evolution in Delta Lake tables based on anomaly detection in incoming data streams.
C
Utilize schema-on-read capabilities to dynamically adapt to changes in the data structure at query time.
D
Implement a versioned schema system where each firmware version corresponds to a different schema, with a master schema to unify them.
