From SQL to Agentic Analytics: Building a Semantic Layer with AI to Empower Snowflake Intelligence

This VHOL explores how to overcome the challenges of data fragmentation and "hallucinations" in AI-powered BI by building a robust semantic layer and single source of truth. We'll introduce the concept of Semantic Views in Snowflake as a native database object for storing and standardizing business logic, metrics, and dimensions. 

In this hands-on lab, you will learn how to: 
 

• Create and define Semantic Views using AI to streamline the development process. 
• Explore how this semantic layer enhances Snowflake Intelligence, allowing for accurate, consistent, and reliable conversational analytics. 
• Build a foundational semantic model 
• Understand how to transform raw data into an intuitive, AI-ready asset, accelerating your journey toward intelligent, data-driven decision-making.