In data models for general BI use, it is important to minimize the number of joins. The star schema has a simple structure with a single fact table at the center, directly connected to multiple denormalized dimension tables. This design requires only one level of joins between the fact table and each dimension, resulting in fewer joins in queries and therefore better performance.
https://www.databricks.com/glossary/star-schema
B. Star schema
The star schema is a common data modeling approach used specifically for optimizing BI queries. It features a central fact table linked to dimension tables, which radiate from the fact like points on a star. This design simplifies queries, improves data retrieval speed, and is highly effective for BI applications where performance and simplicity are key.
While Snowflake's architecture can support various data modeling techniques like 3NF (Third Normal Form), Data Vault, and Snowflake schema (which is a variation of star schema with normalized dimension tables), the star schema remains the preferred choice for BI-focused workloads due to its straightforward structure and query efficiency.
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