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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 FREE CHAPTER
2. Chapter 1: The Sad State of Information Systems 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

Modification at the data level

Adding some attributes to business entity models is one of the most obvious changes in an information system. After all, it is almost impossible to consider every type of data a business would need. It is often recommended to create concise yet accurate models, as this approach facilitates easy evolution in subsequent stages. The principle of business alignment underscores the importance of adaptability and seamless progression in system development. Let’s check that the promise is kept by adding a few attributes to our models.

Adding a simple attribute

Let’s take as an example a list of addresses that are placed in the Contacts petal of the author data referential service “flower.” It happens that, for now, only the order in this list allows us to differentiate the addresses of the same author. This is enough to designate them uniquely, with URLs such as http://demoeditor.org/authors/jpgou/addresses/0, where the index...

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