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Apps and Services with .NET 8

You're reading from   Apps and Services with .NET 8 Build practical projects with Blazor, .NET MAUI, gRPC, GraphQL, and other enterprise technologies

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781837637133
Length 798 pages
Edition 2nd Edition
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Author (1):
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Mark J. Price Mark J. Price
Author Profile Icon Mark J. Price
Mark J. Price
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Table of Contents (19) Chapters Close

Preface 1. Introducing Apps and Services with .NET 2. Managing Relational Data Using SQL Server FREE CHAPTER 3. Building Entity Models for SQL Server Using EF Core 4. Managing NoSQL Data Using Azure Cosmos DB 5. Multitasking and Concurrency 6. Using Popular Third-Party Libraries 7. Handling Dates, Times, and Internationalization 8. Building and Securing Web Services Using Minimal APIs 9. Caching, Queuing, and Resilient Background Services 10. Building Serverless Nanoservices Using Azure Functions 11. Broadcasting Real-Time Communication Using SignalR 12. Combining Data Sources Using GraphQL 13. Building Efficient Microservices Using gRPC 14. Building Web User Interfaces Using ASP.NET Core 15. Building Web Components Using Blazor 16. Building Mobile and Desktop Apps Using .NET MAUI 17. Epilogue 18. Index

Understanding GraphQL

In Chapter 8, Building and Securing Web Services Using Minimal APIs, you learned how to define a Web API service by mapping request path endpoints to lambda expressions or methods that return the response. Any parameters and the format of responses are under the control of the service. A client cannot ask for what they exactly need or use more efficient data formats.

If you completed the online-only section, Exposing Data via the Web Using OData, then you know that OData has a built-in query language for the client to control what data they want to be returned. However, OData has a rather old-fashioned approach and is tied to the HTTP standard, for example, using query strings in an HTTP request.

If you would prefer to use a more modern and flexible technology to combine and expose your data as a service, then a good alternative is GraphQL.

Like OData, GraphQL is a standard for describing your data and then querying it that gives the client control...

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