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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

Schema design

For databases that need to define a schema, the specific design to use is something that needs to be considered.

This section will talk specifically about relational databases, as they are the ones that enforce a stricter schema. Other databases are more flexible in their changes, but they also benefit from spending some time thinking about their structure.

Changing the schema is an important action that will require planning and, certainly, a long-term view needs to be applied to the design.

We will talk later in the chapter about how to change the schema of a database. We only need to remark here that mutating the database schema is an unavoidable part of the process of building a system. Nonetheless, it's a process that needs to be taken with respect and understanding what the possible problems are. It's definitely a good idea to spend time thinking about and ensuring an adequate design for the schema.

The best way...

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