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Python Architecture Patterns

You're reading from   Python Architecture Patterns Master API design, event-driven structures, and package management in Python

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801819992
Length 594 pages
Edition 1st Edition
Languages
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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Toc

Table of Contents (23) Chapters Close

Preface 1. Introduction to Software Architecture 2. Part I: Design FREE CHAPTER
3. API Design 4. Data Modeling 5. The Data Layer 6. Part II: Architectural Patterns
7. The Twelve-Factor App Methodology 8. Web Server Structures 9. Event-Driven Structures 10. Advanced Event-Driven Structures 11. Microservices vs Monolith 12. Part III: Implementation
13. Testing and TDD 14. Package Management 15. Part IV: Ongoing operations
16. Logging 17. Metrics 18. Profiling 19. Debugging 20. Ongoing Architecture 21. Other Books You May Enjoy
22. Index

The Data Layer

The modeling of data when interacting with the application code is as important as how that data is stored in storage. The data layer is the layer that developers will interact with most often, so creating a good interface is critical to create a productive environment.

In this chapter, we will describe how to create a software data layer that interacts with storage to abstract the specifics of storing data. We will see what Domain-Driven Design is, how to use an Object-Relational Mapping framework, and more advanced patterns, like Command Query Responsibility Segregation.

We will also talk about how to make changes to the database as the application evolves and, finally, techniques to deal with legacy databases when the structure has already been defined before our involvement.

In this chapter, we will look at the following topics:

  • The Model layer
  • Database migrations
  • Dealing with legacy databases

Let's start by...

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