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Answer: The main goal is to validate and enrich data, ensuring it meets predefined schemas and business rules before it is used for analytical purposes.
During the promotion from bronze to silver tables, data transformations are crucial for ensuring that the data is clean, consistent, and adheres to the necessary standards and business rules. This process involves schema enforcement, data type corrections, and enrichment with additional metadata or business logic, which prepares the data for more sophisticated analytics and reporting.
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In the context of data modeling, describe in detail the objectives of data transformations during the promotion from bronze to silver tables. How do these transformations ensure data quality and readiness for further processing?
A
The primary objective is to clean and standardize data formats without any structural changes.
B
Data transformations focus solely on enhancing performance without altering data integrity.
C
The main goal is to validate and enrich data, ensuring it meets predefined schemas and business rules before it is used for analytical purposes.
D
Transformations are aimed at reducing data redundancy and improving storage efficiency.
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