DataNexus Series more

DataNexus Architecture: Four Layers and Two Flows
12. Racing Three Coding Agents in Isolated Git Worktrees
11. Designing Chat UIs for Uncertain AI Answers
10. Spider 72%: The Dataset, Not the Model, Shapes the Error Profile
9. BIRD 56%: Nine Experiments and What Got Ruled Out

DW Modeling more

4. Super-Sub Types — Can a Customer Be Both Individual and Corporate?
3. ERD Notation — Same Diagram, Different Interpretation
2. OLTP vs DW Models — Different Purpose, Different Design
1. Is Kimball Still Relevant in the Cloud DW Era?

ETL Design more

4. SCD - When a Customer Moves, Where Were Past Orders Shipped?
3. Silver Layer - Promoting Bronze to an Analysis-Ready State
2. Bronze Layer - Load the Source Data Exactly As-Is
1. Medallion Architecture - Why We Stack Data in Three Layers

GEO Optimization more

5. AEO - Why Coding Agents Read Documentation Differently
4. Off-Site GEO - How to Win Over AI That Ignores Your Official Site
3. On-Site GEO Technical Architecture - From Product DB to JSON-LD
2. Each AI Cites Different Sources
1. What Is GEO - AI Citation Strategy Beyond SEO

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AI Product Design Experiments

July 19, 2026 · 0 min · Junho Lee

Building DataNexus

July 11, 2026 · 0 min · Junho Lee

GEO Optimization Guide

April 17, 2026 · 0 min · Junho Lee

ETL Design

February 22, 2026 · 0 min · Junho Lee

DW Modeling

February 22, 2026 · 0 min · Junho Lee

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