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Enterprise Architecture with .NET

You're reading from   Enterprise Architecture with .NET Expert-backed advice for information system design, down to .NET and C# implementation

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781835085660
Length 772 pages
Edition 1st Edition
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Author (1):
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Jean-Philippe Gouigoux Jean-Philippe Gouigoux
Author Profile Icon Jean-Philippe Gouigoux
Jean-Philippe Gouigoux
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Table of Contents (30) Chapters Close

Preface 1. Part 1: Business-Aligned Architecture and the Problems It Solves
2. Chapter 1: The Sad State of Information Systems FREE CHAPTER 3. Chapter 2: Applying Industrial Principles to Software 4. Chapter 3: Reaching Business Alignment 5. Chapter 4: Dealing with Time and Technical Debt 6. Chapter 5: A Utopic Perfect IT System 7. Part 2: Architecture Frameworks and Methods
8. Chapter 6: SOLID Principles, from Code to Systems 9. Chapter 7: C4 and Other Approaches 10. Chapter 8: Service Orientation and APIs 11. Chapter 9: Exploring Domain-Driven Design and Semantics 12. Chapter 10: Master Data Management 13. Chapter 11: Business Processes and Low Code 14. Chapter 12: Externalization of Business Rules 15. Chapter 13: Externalization of Authorization 16. Part 3: Building a Blueprint Application with .NET
17. Chapter 14: Decomposing the Functional Responsibilities 18. Chapter 15: Plugging Standard External Modules 19. Chapter 16: Creating a Write-Only Data Referential Service 20. Chapter 17: Adding Query to the Data Referential Service 21. Chapter 18: Deploying Data Referential Services 22. Chapter 19: Designing a Second Data Referential Service 23. Chapter 20: Creating a Graphical User Interface 24. Chapter 21: Extending the Interfaces 25. Chapter 22: Integrating Business Processes 26. Part 4: Validating the Architecture
27. Chapter 23: Applying Modifications to the System 28. Index 29. Other Books You May Enjoy

Adding persistence

The logical next step after reading sample in-memory data is to let the API user create its own data entities and store this data in a persistent manner, which means it will still be there when the application goes down and is restarted, which was admittedly a big limitation of our first version. With an agile approach, we could be even more conservative and start with a version that deals with in-memory data creation and modification, only then adding some persistence means. But it is a deliberate choice to carry out these two steps at the same time – because our data referential service will not work in the same way as lots of existing applications that store successive states of data: it will save modifications of data over time, and deduce states from this, still storing them in order to accelerate further querying of the data. The consequence is that the data schema will evolve, so it would be a waste of time to show the creation and modification of entities...

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