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  • Book Overview & Buying Apps and Services with .NET 7
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Apps and Services with .NET 7

Apps and Services with .NET 7

By : Mark J. Price
4.8 (27)
Buy this Book
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Apps and Services with .NET 7

Apps and Services with .NET 7

4.8 (27)
By: Mark J. Price
Buy this Book

Overview of this book

Apps and Services with .NET 7 is for .NET 6 and .NET 7 developers who want to kick their C# and .NET understanding up a gear by learning the practical skills and knowledge they need to build real-world applications and services. It covers specialized libraries that will help you monitor and improve performance, secure your data and applications, and internationalize your code and apps. With chapters that put a variety of technologies into practice, including Web API, OData, gRPC, GraphQL, SignalR, and Azure Functions, this book will give you a broader scope of knowledge than other books that often focus on only a handful of .NET technologies. It covers the latest developments, libraries, and technologies that will help keep you up to date. You’ll also leverage .NET MAUI to develop mobile apps for iOS and Android as well as desktop apps for Windows and macOS.
Table of Contents (23 chapters)
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Preface
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Preface
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Where to find the code solutions
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What this book covers
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What you need for this book
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Get in touch
1
Introducing Apps and Services with .NET
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Introducing Apps and Services with .NET
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Introducing this book and its contents
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App and service technologies
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Setting up your development environment
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Using an analyzer to write better code
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What’s new in C# and .NET?
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Making good use of the GitHub repository for this book
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Where to go for help
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Practicing and exploring
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Summary
Lock Free Chapter
2
Managing Relational Data Using SQL Server
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Managing Relational Data Using SQL Server
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Understanding modern databases
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Managing data with Transact-SQL
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Managing data with low-level APIs
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Managing data with EF Core
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Mapping inheritance hierarchies with EF Core
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Building a reusable entity data model
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Cleaning up data resources
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Practicing and exploring
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Summary
3
Managing NoSQL Data Using Azure Cosmos DB
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Managing NoSQL Data Using Azure Cosmos DB
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Understanding NoSQL databases
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Creating Cosmos DB resources
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Manipulating data with Core (SQL) API
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Manipulating graph data with Gremlin API
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Cleaning up Azure resources
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Practicing and exploring
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Summary
4
Benchmarking Performance, Multitasking, and Concurrency
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Benchmarking Performance, Multitasking, and Concurrency
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Understanding processes, threads, and tasks
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Monitoring performance and resource usage
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Running tasks asynchronously
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Synchronizing access to shared resources
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Understanding async and await
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Practicing and exploring
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Summary
5
Implementing Popular Third-Party Libraries
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Implementing Popular Third-Party Libraries
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Which third-party libraries are most popular?
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Working with images
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Logging with Serilog
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Mapping between objects
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Making fluent assertions in unit testing
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Validating data
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Generating PDFs
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Practicing and exploring
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Summary
6
Observing and Modifying Code Execution Dynamically
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Observing and Modifying Code Execution Dynamically
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Working with reflection and attributes
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Working with expression trees
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Creating source generators
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Practicing and exploring
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Summary
7
Handling Dates, Times, and Internationalization
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Handling Dates, Times, and Internationalization
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Working with dates and times
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Working with time zones
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Working with cultures
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Practicing and exploring
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Summary
8
Protecting Your Data and Applications
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Protecting Your Data and Applications
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Understanding the vocabulary of protection
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Encrypting and decrypting data
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Hashing data
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Signing data
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Generating random numbers
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Authenticating and authorizing users
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Practicing and exploring
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Summary
9
Building and Securing Web Services Using Minimal APIs
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Building and Securing Web Services Using Minimal APIs
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Building web services using ASP.NET Core Minimal APIs
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Relaxing the same origin security policy using CORS
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Preventing denial-of-service attacks using rate limiting
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Understanding identity services
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Practicing and exploring
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Summary
10
Exposing Data via the Web Using OData
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Exposing Data via the Web Using OData
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Understanding OData
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Building a web service that supports OData
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Testing OData services using Visual Studio Code extensions
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Versioning OData controllers
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Enabling entity inserts, updates, and deletes
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Building clients for OData services
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Practicing and exploring
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Summary
11
Combining Data Sources Using GraphQL
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Combining Data Sources Using GraphQL
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Understanding GraphQL
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Building a service that supports GraphQL
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Defining GraphQL queries for EF Core models
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Building a .NET client for a GraphQL service
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Implementing GraphQL mutations
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Practicing and exploring
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Summary
12
Building Efficient Microservices Using gRPC
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Building Efficient Microservices Using gRPC
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Understanding gRPC
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Building a gRPC service and client
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Implementing gRPC for an EF Core model
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Implementing gRPC JSON transcoding
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Practicing and exploring
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Summary
13
Broadcasting Real-Time Communication Using SignalR
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Broadcasting Real-Time Communication Using SignalR
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Understanding SignalR
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Building a live communication service using SignalR
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Building a web client using the SignalR JavaScript library
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Building a .NET console app client
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Streaming data using SignalR
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Practicing and exploring
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Summary
14
Building Serverless Nanoservices Using Azure Functions
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Building Serverless Nanoservices Using Azure Functions
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Understanding Azure Functions
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Building an Azure Functions project
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Responding to timer and resource triggers
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Publishing an Azure Functions project to the cloud
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Cleaning up Azure Functions resources
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Practicing and exploring
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Summary
15
Building Web User Interfaces Using ASP.NET Core
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Building Web User Interfaces Using ASP.NET Core
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Setting up an ASP.NET Core MVC website
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Defining web user interfaces with Razor views
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Localizing and globalizing with ASP.NET Core
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Defining web user interfaces with Tag Helpers
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Practicing and exploring
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Summary
16
Building Web Components Using Blazor WebAssembly
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Building Web Components Using Blazor WebAssembly
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Understanding Blazor
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Building Blazor components
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Building a Blazor data component
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Implementing caching using local storage
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Building Progressive Web Apps
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Practicing and exploring
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Summary
17
Leveraging Open-Source Blazor Component Libraries
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Leveraging Open-Source Blazor Component Libraries
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Understanding open-source Blazor component libraries
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Exploring Radzen Blazor components
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Building a web service for Northwind entities
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Practicing and exploring
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Summary
18
Building Mobile and Desktop Apps Using .NET MAUI
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Building Mobile and Desktop Apps Using .NET MAUI
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Understanding XAML
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Understanding .NET MAUI
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Building mobile and desktop apps using .NET MAUI
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Using shared resources
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Using data binding
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Understanding MVVM
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Consuming a web service from a mobile app
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Practicing and exploring
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Summary
19
Integrating .NET MAUI Apps with Blazor and Native Platforms
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Integrating .NET MAUI Apps with Blazor and Native Platforms
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Building .NET MAUI Blazor Hybrid apps
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Integrating with native platforms
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Using third-party control libraries
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Practicing and exploring
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Summary
20
Introducing the Survey Project Challenge
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Introducing the Survey Project Challenge
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What have you learned in this book?
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Why a survey project?
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What are the product requirements?
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Promote your abilities
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Summary
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Epilogue
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Epilogue
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Second edition coming November 2023
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Next steps on your C# and .NET learning journey
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Good luck!
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Index
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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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