By adding business meaning to physical data, the semantic view enhances data-driven decisions and provides consistent business definitions across enterprise applications. You can use …

Jun 16, 2025 · A Semantic View in Snowflake is a business-friendly, logical layer on top of physical tables. It allows you to define dimensions, facts, relationships, and metrics in a way …

Jun 11, 2025 · Snowflake addresses these challenges by introducing Semantic Views, a new schema-level object that stores all semantic model information natively within the database.

Jul 16, 2025 · What are Snowflake Semantic Views? Semantic Views are a new kind of schema object in Snowflake that let you define business entities, relationships, facts, metrics, and …

Dec 3, 2025 · Snowflake Semantic Views are YAML-based objects that describe how data inside Snowflake should be understood, connected, and queried by both people and AI systems.

Aug 26, 2025 · Snowflake Semantic Views are new SQL objects that provide a business-friendly layer to define your data. From business entities and the relationships between them, to facts …

Snowflake Semantic Views as a business‑focused abstraction layer layered on top of physical tables. They let you define logical tables like customers, orders, or suppliers that encapsulate …

Jun 12, 2025 · What is a Semantic View? A semantic view sits between your raw data and the way people or AI systems understand it.

In a semantic view, you must define at least one dimension or metric, which means that you must specify at least the DIMENSIONS clause or the METRICS clause. These parameters are part …

Chanin Nantasenamat, PhD, Snowflake's Senior Developer Advocate, provides an overview of Semantic View and how it can power artificial intelligence and business intelligence use cases. …