Question

What are the key differences between a star schema and a snowflake schema in data modeling

Answer 1

Aspect	Star Schema	Snowflake Schema
Structure	Central fact table surrounded by dimension tables.	Dimension tables are further normalized into sub-dimensions or sub-levels.
Data Redundancy	Dimension tables often contain some data redundancy (denormalized).	Dimension tables are more normalized, resulting in less data redundancy.
Complexity	Generally simpler and easier to understand due to fewer tables and relationships.	More complex due to additional sub-dimensions and relationships, potentially more tables.
Storage Space	May require more storage space due to data redundancy.	Requires less storage space compared to star schema due to normalization.
Query Performance	Often offers better query performance, as denormalized tables reduce the need for joins.	Query performance may be slightly impacted due to the need for more joins.