Useful for highly normalized data, but can lead to complex joins that increase compute costs.
For specific technical implementations, consider these targeted whitepapers and guides: Download a free PDF copy of this book - Packt data modeling with snowflake pdf free download better
Don't over-normalize. In legacy systems, you would normalize to 3rd Normal Form (3NF) to save space. In Snowflake, space is cheap. Joining tables costs compute time. It is often better to flatten a dimension into a single table (creating a "wide" dimension) to reduce the number of joins during a query. Useful for highly normalized data, but can lead
A better Snowflake model leverages these features instead of fighting them. In Snowflake, space is cheap
Duplicate storage is free. Duplicate joining is expensive.
. It covers essential architecture and SQL concepts necessary for effective modeling. The Data Cloud For Dummies, Snowflake Special Edition
What is the of your data (e.g., ERP, Web Logs, SaaS apps)?