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Talk to your Data with Cortex Analyst

2 Scenarios
1 Hour 30 Minutes
Intermediate
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1 credit
Industry
general
Skills
generative-ai
Tools
snowflake

Learning Objectives

Understand what Cortex Analyst is and how it transforms natural language into accurate SQL queries using LLMs and semantic views
Explain the components of semantic views: tables, dimensions, facts, metrics, relationships, and synonyms
Validate semantic view accuracy by testing with real business questions and analyzing generated SQL
Build a complete working Cortex Analyst implementation from scratch, including database setup, semantic view creation, and natural language querying

Overview

Meet Sam, a Junior Data Analyst drowning in ad-hoc SQL requests, and Alex, a Senior AI Architect who introduces her to a transformative solution. Through their journey, you'll discover how Snowflake Cortex Analyst eliminates the data analyst bottleneck by enabling business users to ask questions in plain English.

Imagine your sales team asking "Which Enterprise customers in the USA have the highest lifetime value?" and getting instant answers—without writing a single line of SQL. This isn't just another BI dashboard with pre-built reports. It's an intelligent system that understands business language, generates accurate SQL, and democratizes data access across your organization.

You'll learn how semantic views bridge the gap between business terminology and database structures, enabling AI to understand questions like "What's our CLV by segment?" just as naturally as "Show me total customer lifetime value grouped by customer tier."

Most importantly, you'll see how to build production-ready semantic models that empower business users while maintaining enterprise-grade security and governance.

Prerequisites

  • Active Snowflake account with appropriate privileges
  • Basic understanding of SQL and database concepts
  • Familiarity with business intelligence terminology
  • Interest in AI-powered analytics