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Architecture and Data: System Structure, Domain Modeling, and Persistence
Paperback
Series: Software Development Principles, Book 2
Publisher: Independently Published
Published: Feb 17 2026
Pages: 568
Weight: 2.45
Height: 1.15 Width: 8.00 Depth: 10.00
Language: English
Your database schema made perfect sense two years ago. Now every query joins six tables, migrations take full weekends, and the team treats the billing module as a no-go zone.
Architecture and data decisions compound. Good ones buy you options. Bad ones become constraints disguised as the way things work.
68 principles. Zero hand-waving. Each follows the same rigorous format: a clear explanation, warning signs that reveal violations, and markers that confirm correct application. No it depends without explaining why.
Three chapters cover:
- Architectural Patterns-from Hexagonal and Clean Architecture to Modular Monolith and Event-Driven, evaluated as trade-offs rather than doctrine
- Domain-Driven Design-Bounded Contexts, Aggregates, and strategic patterns that keep large systems coherent
- Data Management-caching strategies, Event Sourcing, CQRS, and persistence patterns that prevent your data layer from bottlenecking every decision
For engineers making system-level decisions who already understand foundational design concepts like SOLID, cohesion, and coupling.
Architecture and Data is Book 2 of the Software Development Principles series. Language-agnostic. Framework-independent. Built to last.
Good architecture is not about picking the right pattern. It is about making decisions that keep future decisions open.
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