Strands on Jaehyeon Kimhttps://jaehyeon.me/tags/strands/Recent content in Strands on Jaehyeon KimHugo -- gohugo.ioenCopyright © 2023-2026 Jaehyeon Kim. All Rights Reserved.Sat, 18 Jul 2026 00:00:00 +0000Building an Agentic Analytics System over an Iceberg Lakehousehttps://jaehyeon.me/blog/2026-07-18-agentic-analytics-system/Sat, 18 Jul 2026 00:00:00 +0000https://jaehyeon.me/blog/2026-07-18-agentic-analytics-system/Generative AI has made conversational analytics feel within reach, yet direct text-to-SQL systems remain hard to operate reliably. A database schema tells you the tables, columns, and types, but it says nothing about which datasets are canonical, which join paths are approved, how a governed metric is calculated, or what the business actually means by “revenue” or “active customer”. Ask a language model to infer all of that from raw tables and, sooner or later, it will confidently invent an answer.

I built a proof of concept to explore a more disciplined approach: put a semantic layer between the model and the data, and let the agent reason over governed business concepts instead of guessing at raw schemas. It runs entirely locally on an open-source stack, and it happens to tie together two of my other projects along the way.

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