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 · One of the major feature announcements at Snowflake Summit 2025 was the introduction of Semantic Views — a game-changing capability that brings business-friendly …

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.

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.

Jul 16, 2025 · In this article, we’ll explain what they are, walk through a practical example, highlight their advantages and limitations, and show how you can start using them today. What …

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 …

The following is a complete example of creating a semantic view. The example uses the TPC-H sample data available in Snowflake. This dataset contains tables that represent a simplified …

Snowflake Semantic Views with Cortex Analyst - Compliance Analytics POC 🎯 Overview This proof-of-concept demonstrates how Snowflake Semantic Views combined with Cortex Analyst …

Learn how to set up Snowflake Intelligence with Cortex Agents to turn raw data into actionable insights. This practical guide covers the mindset shift, five-step build process, and why a …