You're reading from Apps and Services with .NET 7 Build practical projects with Blazor, .NET MAUI, gRPC, GraphQL, and other enterprise technologies

Product type Paperback

Published in Nov 2022

Publisher Packt

ISBN-13 9781801813433

Length 814 pages

Edition 1st Edition

Languages

Tools

.NET

Concepts

Cross Platform Mobile Development

Author (1):

Mark J. Price

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Table of Contents (23) Chapters

Preface

1. Introducing Apps and Services with .NET

2. Managing Relational Data Using SQL Server FREE CHAPTER

3. Managing NoSQL Data Using Azure Cosmos DB

4. Benchmarking Performance, Multitasking, and Concurrency

5. Implementing Popular Third-Party Libraries

6. Observing and Modifying Code Execution Dynamically

7. Handling Dates, Times, and Internationalization

8. Protecting Your Data and Applications

9. Building and Securing Web Services Using Minimal APIs

10. Exposing Data via the Web Using OData

11. Combining Data Sources Using GraphQL

12. Building Efficient Microservices Using gRPC

13. Broadcasting Real-Time Communication Using SignalR

14. Building Serverless Nanoservices Using Azure Functions

15. Building Web User Interfaces Using ASP.NET Core

16. Building Web Components Using Blazor WebAssembly

17. Leveraging Open-Source Blazor Component Libraries

18. Building Mobile and Desktop Apps Using .NET MAUI

19. Integrating .NET MAUI Apps with Blazor and Native Platforms

20. Introducing the Survey Project Challenge

21. Epilogue

22. Index

Understanding NoSQL databases

Two of the most common places to store data are in a Relational Database Management System (RDBMS) such as SQL Server, PostgreSQL, MySQL, and SQLite, or in a NoSQL database such as Azure Cosmos DB, Redis, MongoDB, and Apache Cassandra.

Relational databases were invented in the 1970s. They are queried with Structured Query Language (SQL). At the time, data storage costs were high, so relational databases were designed to reduce data duplication as much as possible. Data is stored in tabular structures with rows and columns that are tricky to refactor once in production. They can be difficult and expensive to scale.

NoSQL does not just mean “no SQL”; it can also mean “not only SQL”. NoSQL databases were invented in the 2000s, after the internet and the web had become popular and adopted many of the learnings from that era of software.

They are designed for massive scalability, high performance, and to make programming...

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You're reading from Apps and Services with .NET 7 Build practical projects with Blazor, .NET MAUI, gRPC, GraphQL, and other enterprise technologies

Table of Contents (23) Chapters

Understanding NoSQL databases

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Authors (1)