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  2. Snowflake schema - Wikipedia

    en.wikipedia.org/wiki/Snowflake_schema

    The snowflake schema is similar to the star schema. However, in the snowflake schema, dimensions are normalized into multiple related tables, whereas the star schema's dimensions are denormalized with each dimension represented by a single table. A complex snowflake shape emerges when the dimensions of a snowflake schema are elaborate, having ...

  3. Star schema - Wikipedia

    en.wikipedia.org/wiki/Star_schema

    The star schema is an important special case of the snowflake schema, and is more effective for handling simpler queries. [2] The star schema gets its name from the physical model's [3] resemblance to a star shape with a fact table at its center and the dimension tables surrounding it representing the star's points.

  4. Data vault modeling - Wikipedia

    en.wikipedia.org/wiki/Data_Vault_Modeling

    It is a hybrid approach encompassing the best of breed between 3rd normal form (3NF) and star schema. The design is flexible, scalable, consistent and adaptable to the needs of the enterprise" [ 11 ] Data vault's philosophy is that all data is relevant data, even if it is not in line with established definitions and business rules.

  5. Dimensional modeling - Wikipedia

    en.wikipedia.org/wiki/Dimensional_modeling

    The dimensional model is built on a star-like schema or snowflake schema, with dimensions surrounding the fact table. [3] [4] To build the schema, the following design model is used: Choose the business process; Declare the grain; Identify the dimensions; Identify the fact; Choose the business process

  6. Fact table - Wikipedia

    en.wikipedia.org/wiki/Fact_table

    Example of a star schema; the central table is the fact table. In data warehousing, a fact table consists of the measurements, metrics or facts of a business process. It is located at the center of a star schema or a snowflake schema surrounded by dimension tables. Where multiple fact tables are used, these are arranged as a fact constellation ...

  7. Denormalization - Wikipedia

    en.wikipedia.org/wiki/Denormalization

    Star schemas, which are also known as fact-dimension models and have been extended to snowflake schemas Prebuilt summarization or OLAP cubes With the continued dramatic increase in all three of storage, processing power and bandwidth, on all levels, denormalization in databases has moved from being an unusual or extension technique, to the ...

  8. Fact constellation - Wikipedia

    en.wikipedia.org/wiki/Fact_constellation

    These schemas are implemented for complex data warehouses. [1] The fact constellation is a measure of online analytical processing and can be seen as an extension of the star schema. A fact constellation schema has multiple fact tables. It is a widely used schema and more complex than star schemas and snowflake schemas.

  9. Talk:Snowflake schema - Wikipedia

    en.wikipedia.org/wiki/Talk:Snowflake_schema

    Some sources regard snowflake and star schema a separate ideas, others that snowflake is a variation on star. I've allowed for either interpretation; Added a quick definition of multidimensionality; Put the nub of the difference between star and snowflake schemas towards the top of the article