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The "snowflake schema" is a term that often causes confusion, as it shares its name with the Snowflake platform. In data warehousing, a snowflake schema is a normalized version of a star schema. The star schema is the most common design for analytics, where a central (containing quantitative data like sales numbers) is directly surrounded by dimension tables (describing the facts, like customer or product details). This model is simple and leads to fast query performance. The snowflake schema further normalizes the dimension tables, breaking them down into additional sub-dimensions to reduce data redundancy. While this saves storage space, it can lead to more complex queries that require more joins. For most analytics on Snowflake, a star schema is often preferred for its query speed.
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