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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

Master Data Management

In the previous chapter, we showed you a method to design information entities in such a way that they do not have any technical coupling, in an effort for the information system containing them to be free to evolve when the business changes. If the data model is a pure reflection of the business represented, it makes it much easier to follow business changes (and change is the only constant) because there won’t be some technical constraint in our way forcing us to compromise on the quality of the design, and thus on the performance of the system as a whole.

In this chapter, we will start talking about the implementation of the data model into something concrete (if this can be said about software, which is mostly virtual). It is only in Chapters 16 to 19 that we will code what we will call for the rest of the book the “data referential(s)”. For now, we will start some actual software architecture to welcome the data model, persist the...

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