_CORE
AI & Agentic Systems Core Information Systems Cloud & Platform Engineering Data Platform & Integration Security & Compliance QA, Testing & Observability IoT, Automation & Robotics Mobile & Digital Banking & Finance Insurance Public Administration Defense & Security Healthcare Energy & Utilities Telco & Media Manufacturing Logistics & E-commerce Retail & Loyalty
References Technologies Blog Know-how Tools
About Collaboration Careers
CS EN
Let's talk

Snowflake Schema — Normalized Dimensional Modeling

15. 01. 2026 1 min read intermediate

Snowflake schema extends star schema by normalizing dimension tables. Product category becomes separate table — saves storage but adds JOINs.

Normalized Dimensions

Dimension tables are normalized into multiple levels. Diagram resembles snowflake.

CREATE TABLE dim_product (
    product_key  INT PRIMARY KEY,
    product_name VARCHAR(200),
    category_key INT REFERENCES dim_category(category_key)
);

CREATE TABLE dim_category (
    category_key   INT PRIMARY KEY,
    category_name  VARCHAR(100),
    department_key INT REFERENCES dim_department(department_key)
);

CREATE TABLE dim_department (
    department_key  INT PRIMARY KEY,
    department_name VARCHAR(100)
);

Star vs Snowflake

  • Star — faster queries, fewer JOINs
  • Snowflake — less redundancy, large dimensions
  • Modern warehouse — storage is cheap, star is usually better

Summary

Snowflake schema saves storage by normalizing dimensions. In modern cloud warehouses, star schema is usually preferred.

snowflake schemanormalizationdata modelingwarehouse
Share:

CORE SYSTEMS tým

Stavíme core systémy a AI agenty, které drží provoz. 15 let zkušeností s enterprise IT.