A Snowflake Schema is a type of database schema used in data warehousing. It is a variation of the more common Star Schema, which organizes data into a central fact table surrounded by dimension tables. The Snowflake Schema extends this model by normalizing the dimension tables, resulting in a more complex, yet more flexible structure.

In a Snowflake Schema, each dimension table is split into multiple related tables, forming a hierarchy of tables. For example, a product dimension table might be split into tables for product category, subcategory, and individual products. This results in a more normalized structure, with less redundancy and more flexibility for querying data. However, it also increases the complexity of the schema and can make queries more difficult to write and optimize.

The name "Snowflake" comes from the visual representation of the schema, which resembles a snowflake with the fact table at the center and the dimension tables branching out like spokes. The schema is often used in situations where a high level of data normalization is required or where there are many-to-many relationships between dimension tables.

A snowflake is a delicate, six-sided ice crystal that forms in the Earth's atmosphere when water vapor freezes. Snowflakes can come in a wide variety of shapes and sizes, depending on factors such as temperature and humidity. They are often considered a symbol of winter and the holiday season, and are a popular subject in art, literature, and culture. The term "snowflake" is also used colloquially to describe someone who is perceived as overly sensitive or easily offended.

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