Star vs snowflake schema

What would be the major difference between a snowflake schema and a star schema?

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5 months ago

SNOWFLAKE SCHEMA Snowflake Schema is the type of multidimensional model which is used for data warehouse. In snowflake schema, The fact tables, dimension tables as well as sub dimension tables are contained. This schema forms a snowflake with fact tables, dimension tables as well as sub-dimension tables. • STAR SCHEMA Star Schema: Star schema is the simplest method for arranging data in a data warehouse. It contains a fact table at the center connected to dimension tables around it. Star schema is most effective for quick and simple data query execution.

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5 months ago

Snowflake schema and Star schema SNOWFLAKE SCHEMA Snowflake Schema: Snowflake schema is a more complex method of storing data in which fact tables, dimension tables and sub-dimension tables are connected through foreign keys. Snowflake is most effective for in-depth data query analyses. STAR SCHEMA Star schema is widely used for modeling data warehouses and dimensional data marts. It’s composed of a single fact table that references any number of dimension tables. This schema is a variant of the Snowflake schema and is typically used to enable simpler query sets

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5 months ago

- A Star Schema has a central Fact Table surrounded by Dimension Tables while a Snowflake Schema is more of an extension of the Star Schema. - Each Dimension Table is connected to the Fact Table through a foreign key in the Star schema while in the Snowflake schema, each dimension table is further divided into multiple related tables. - Dimension Tables are not connected to each other in the star schema while the additional tables in the snowflake schema are connected to the dimension tables through the foreign keys

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5 months ago

The major differences between a snowflake schema and a star schema are - Star schema dimension tables are not normalized while snowflake schema's dimension tables are normalized. - Snowflake schemas will use less space than star schemas to store dimension tables but are more complex. - Star schemas will only join the fact table with the dimension tables, leading to simpler, faster SQL queries. - Snowflake schemas have no redundant data, so they're easier to maintain.

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5 months ago

The major differences between a snowflake schema and a star schema are - Star schema dimension tables are not normalized while snowflake schema's dimension tables are normalized. - Snowflake schemas will use less space than star schemas to store dimension tables but are more complex. - Star schemas will only join the fact table with the dimension tables, leading to simpler, faster SQL queries. - Snowflake schemas have no redundant data, so they're easier to maintain.