The Book on Agentic Analytics
Published by Self-published · Tech
Explores the foundations of agentic data architecture, where AI agents autonomously discover, query, and analyze data.
Who this book is for
Data engineers, solutions architects, and CTOs who already know SQL and Python and are being asked to make their data platform ready for AI agents.
Table of contents
- The Shift to Agentic Analytics
- The Open Foundation (Iceberg & Polaris)
- Breaking Silos (Federation & Virtualization)
- The Need for Speed (Acceleration)
- Teaching AI the Business (The Semantic Layer)
- Native Intelligence (Built-in Agents & AI SQL)
- The Interface of the Future (MCP Servers)
- The Developer's Toolkit (Agent Skills)
- Feeding the Lake (Ingestion Strategies)
- Conclusion - The Agentic Future
Excerpt
For decades, the data industry has been locked in a cycle of centralization. We built Data Warehouses to answer known questions. We built Data Lakes to store everything else. Then we built Lakehouses to try and get the best of both worlds. Yet, despite billions of dollars invested in modern data stacks, a simple question like "What was our churn rate last quarter, and how does it correlate with the new pricing model?" often takes days to answer.
