Saturday, March 8, 2014

Snowflake vs Star Schema - Data Warehouse

#Comparison(Snowflake Schema vs Star Schema) – By Diffen
When choosing a database schema for a data warehouse, snowflake and star schemas tend to be popular choices. This comparison discusses suitability of star vs. snowflake schemas in different scenarios and their characteristics.


#Star vsSnowflake – By Database Architect
The star schema is the simplest data warehouse schema. It is called a star schema because the diagram resembles a star, with points radiating from a centre. The centre of the star consists of one or more fact tables and the points of the star are the dimension tables.
The snowflake schema is a variation of the star schema used in a data warehouse. The snowflake schema (sometimes called snowflake join schema) is a more complex schema than the star schema because the tables which describe the dimensions are normalized.

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2 comments:

  1. marksonDecember 11, 2019 at 2:16 PM

    All things considered, we anticipate this to build the authoritative attention to the log the board an incentive to help application advancement, security and IT operational achievement.Data Analytics Courses

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  2. ExistBIFebruary 17, 2020 at 2:18 PM

    In Star schema, the fact tables and the dimension tables are contained. In this schema fewer foreign-key join is used. This schema forms a star with fact table and dimension tables. And 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.

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