A snowflake schema is a type of data model where the fact table links to normalized dimension tables split into multiple related tables. It's a more detailed version of the star schema and is used to handle complex data structures. This is more like a data platform or data warehouse on the cloud that provides SQL engine functionalities.
On the other hand, Snowflake schema is more like an algorithm that design database schema. Data warehouse schema is a description, represented by objects such as tables and indexes, of how data relates logically within a data warehouse. Star, Galaxy and Snowflake Schema are types of warehouse schema that describe different logical arrangements of data.
Also known as multi-dimension schemas, these schemas define rules for how these data warehouses manage the names, descriptions. This Tutorial Explains Various Data Warehouse Schema Types. Learn What is Star Schema & Snowflake Schema And the Difference Between Star & Snowflake Schema.
An extension of the star schema, the snowflake schema normalizes dimension tables into multiple related tables, reducing data redundancy but increasing query complexity. A snowflake schema is a multi-dimensional data model that is an extension of a star schema, where dimension tables are broken down into subdimensions. Snowflake schemas are commonly used for business intelligence and reporting in OLAP data warehouses, data marts, and relational databases.
In addition, Snowflake provides DDL for creating and managing shares. A share specifies a set of database objects (schemas, tables, and secure views) containing data you wish to share with other Snowflake accounts. In this article, you'll explore Snowflake Warehouse vs Database, understanding their key differences and which one suits your data needs best.
Should you use a star schema or a snowflake schema for your data warehouse? When does one deliver better performance than the other? here. The Snowflake Schema allows for efficient data storage and retrieval, making it easier for your queries to glide smoothly and gracefully.