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Software Architecture with C# 10 and .NET 6 – Third Edition

You're reading from   Software Architecture with C# 10 and .NET 6 – Third Edition Develop software solutions using microservices, DevOps, EF Core, and design patterns for Azure

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Product type Paperback
Published in Mar 2022
Publisher Packt
ISBN-13 9781803235257
Length 714 pages
Edition 3rd Edition
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Authors (2):
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Francesco Abbruzzese Francesco Abbruzzese
Author Profile Icon Francesco Abbruzzese
Francesco Abbruzzese
Gabriel Baptista Gabriel Baptista
Author Profile Icon Gabriel Baptista
Gabriel Baptista
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Table of Contents (27) Chapters Close

Preface 1. Understanding the Importance of Software Architecture 2. Non-Functional Requirements FREE CHAPTER 3. Documenting Requirements with Azure DevOps 4. Deciding on the Best Cloud-Based Solution 5. Applying a Microservice Architecture to Your Enterprise Application 6. Azure Kubernetes Service 7. Interacting with Data in C# – Entity Framework Core 8. How to Choose Your Data Storage in the Cloud 9. Working with Azure Functions 10. Design Patterns and .NET 6 Implementation 11. Understanding the Different Domains in Software Solutions 12. Implementing Code Reusability in C# 10 13. Applying Service-Oriented Architectures with .NET 14. Implementing Microservices with .NET 15. Presenting ASP.NET Core MVC 16. Implementing Frontend Microservices with ASP.NET Core 17. Blazor WebAssembly 18. Native versus Web Clients 19. Artificial Intelligence and Machine Learning 20. Best Practices in Coding C# 10 21. Understanding DevOps Principles 22. Challenges of Applying CI & CD Scenarios 23. Testing Your Enterprise Application 24. Answers
25. Other Books You May Enjoy
26. Index

Choosing between SQL or NoSQL document-oriented databases

As a software architect, you may consider some aspects of SQL and NoSQL databases to decide the best storage option for you. In many cases, both will be needed. The key point here will surely be how organized your data is and how big the database will become.

In the previous section, we stated that NoSQL document-oriented databases should be preferred when data has almost no predefined structure. They not only keep variable attributes close to their owners, but they also keep some related objects close since they allow related objects to be nested inside properties and collections.

Unstructured data can be represented in relational databases if variable properties of a tuple (t) can be placed in a connected table containing the property name, property value, and the external key of t. However, the problem in this scenario is performance. In fact, property values that belong to a single object would be spread all over...

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