DEDP — Introduction
Establishes the three-part structure of the book and the consistent chapter format used throughout.
Book Structure
Part 1 — Foundations: Introduces convergent evolution and its relevance to data engineering. Examines how design patterns solve recurring challenges in data system design. Contextualizes the open data landscape’s influence.
Part 2 — Mastering the Patterns: Practical pattern applications including materialized views vs. OBT, semantic layers, dimensional modeling, and software engineering practices (CI/CD, version control, testing) applied to data engineering.
Part 3 — Future Directions (not yet published): Navigation of patterns through modern architectures, emerging technologies like Rust and vectorized engines, WebAssembly adoption.
Chapter Format Types
The book uses three standardized chapter structures:
| Type | Full Name | Structure |
|---|---|---|
| CE | Convergent Evolution | Compare two related concepts — definitions, history, underlying commonalities |
| DEP | Data Engineering Pattern | Identify patterns, characteristics, implementation approaches |
| DEDP | Data Engineering Design Pattern | Address specific problems with optimized solutions and implementation guidance |
This consistency lets readers quickly locate information and compare across chapters.
Mental Models
- Three-tier pattern taxonomy — CE (observation) → DEP (pattern) → DEDP (solution). Each level increases in specificity and actionability. Good framework for how we categorize insights in consulting too.
- Structural consistency as navigation — standardized chapter formats reduce cognitive overhead and make the book a reference, not just a read-through
Related
- About This Book — motivation and audience
- Terminologies — abbreviations and reading guide
- Design Patterns Intro — DEDP-level chapter structure
- DEP Intro — Data Engineering Patterns overview
- CE Intro — Convergent Evolution patterns overview