Bruin Academy
Tutorial module
Build an AI Data Analyst
Go from zero to an AI data analyst that connects to your warehouse, speaks your domain language, and answers real business questions with SQL. Open-source, runs locally, no vendor lock-in.
What
- Map your database schema into context files any AI coding assistant can read
- Connect your AI tool to your warehouse via Bruin MCP for direct query access
- Enrich context with column descriptions and domain knowledge
How
- Bruin CLI introspects your warehouse and generates asset files with schema details
- Bruin MCP connects this context to Claude Code, Cursor, or Codex
- Core setup takes about 1-2 hours; context enrichment is optional
What
- Map your database schema into context files any AI coding assistant can read
- Connect your AI tool to your warehouse via Bruin MCP for direct query access
- Enrich context with column descriptions and domain knowledge
How
- Bruin CLI introspects your warehouse and generates asset files with schema details
- Bruin MCP connects this context to Claude Code, Cursor, or Codex
- Core setup takes about 1-2 hours; context enrichment is optional
Before you start
- Bruin CLI installed
- A data warehouse with data already loaded (BigQuery, Redshift, ClickHouse, or Postgres)
- An AI coding tool installed (Cursor, Claude Code, or Codex)
- 1Create a Bruin Project5 min
- 2Connect Your Data5 min
- 3Build Your Data Context8 min
- 4Set Up Your AI Agent5 min
- 5Analyze Your Data10 min
- 6Improve Your Context8 min
Resources
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