Retaining older dimension details by generating a new record preserves historical data needed for thorough analytics. The other answers either overwrite older rows, store partial updates, or place older data in a temporary store that limits comprehensive historical analysis.
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What is a dimension table in a database?
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Why is it important to retain historical dimension details in data analysis?
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What are the challenges of the other dimension-table strategies that don't retain older changes?