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4-layer blueprint to build reliable, production-grade Databricks Genie Agents

Summary: Mehul Bhuva shares insights from 22+ years in enterprise IT and data, emphasizing that AI can translate business questions into SQL but should not guess business logic. They present a four-layer blueprint for building reliable Databricks Genie Agents, focusing on data integrity, documented knowledge, certified metrics, and predefined Q&A pairs to enhance efficiency and transition roles from query writers to knowledge architects.
AI Summary

AI can translate business questions into SQL, but it shouldn't guess your business logic.

Drawing from 22+ years of enterprise IT/Data experience, I’ve put together a 4-layer blueprint to build reliable, production-grade Databricks Genie Agents (formerly called Genie Spaces):

• 📊 Data: Pre-joined Unity Catalog views to eliminate guessing.

• 📝 Instructions: Explicitly documented tribal knowledge.

• 🔢 SQL Expressions: Locked-down, certified metrics.

• ⚙️ Example Queries: Seeded Q&A pairs for complex logic.

Stop answering the same ad-hoc questions. Shift your role from query writer to knowledge architect.

Article link: https://www.sqlservercentral.com/articles/databricks-genie-spaces-for-sql-analysts-natural-language-querying-without-leaving-your-data-platform

0 comments
Mehul Bhuva
1 month ago