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Business-Friendly Diagramming

Business Friendly Diagramming explores the art and practice of creating clear, consistent, and metadata-driven diagrams that connect business and technology.

Automating draw.io Diagram Generation from Metadata

3 min readSep 17, 2025

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Part 2: Diagram Generation Pipeline

In this article, we dive into the heart of the automation process: how we generate draw.io diagrams automatically from structured metadata — using Python, DuckDB, and a declarative code-first approach.

This method ensures that diagrams are always consistent, versioned, and up-to-date, aligning with business logic and technical design.

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🧠 Why Generate Diagrams from Metadata?

Manually creating diagrams in draw.io becomes unmanageable as systems grow. Diagrams get out of sync with mappings, styles vary by author, and traceability is lost. By using code as the single source of truth, we:

  • Reduce manual work
  • Enforce visual and structural consistency
  • Enable regeneration on metadata change
  • Version-control every element in Git
  • Avoid relying on the draw.io editor for mapping maintenance

⚙️ Architecture Overview

Here’s the high-level flow:

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Business-Friendly Diagramming
Business-Friendly Diagramming

Published in Business-Friendly Diagramming

Business Friendly Diagramming explores the art and practice of creating clear, consistent, and metadata-driven diagrams that connect business and technology.

Jaco van der Laan
Jaco van der Laan

Written by Jaco van der Laan

Exploring Business & Logical Data Modeling. Writing on Clarity, Structure & Creative Approaches to Data Architecture.

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