A data engineer notices that the dimension tables in the data warehouse have become quite large and complex, with multiple levels of hierarchies. To improve the clarity and structure of the schema, which design modification should they consider?
- Create additional hierarchies
- Denormalize the dimensions
- Normalize the fact table
- Snowflake the dimensions
To improve the clarity and structure of dimension tables with multiple hierarchies, the data engineer should consider snowflaking the dimensions. Snowflaking involves breaking down complex dimensions into smaller, normalized tables to simplify queries and enhance maintainability.
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