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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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