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C# 13 and .NET 9 – Modern Cross-Platform Development Fundamentals

C# 13 and .NET 9 – Modern Cross-Platform Development Fundamentals

By : Mark J. Price
4.4 (5)
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C# 13 and .NET 9 – Modern Cross-Platform Development Fundamentals

C# 13 and .NET 9 – Modern Cross-Platform Development Fundamentals

4.4 (5)
By: Mark J. Price

Overview of this book

This Packt bestseller continues to be the definitive guide to modern cross-platform development. The 9th edition of C# 13 and .NET 9 – Modern Cross-Platform Development Fundamentals has been updated to cover the latest features and improvements in .NET 9 and C# 13. You'll start by mastering object-oriented programming, learning how to write, test, and debug functions, and implementing interfaces. You'll then dive into .NET APIs for data management, filesystem operations, and serialization. This latest edition integrates .NET 9 enhancements into its examples: faster exceptions and new LINQ methods. New ASP.NET Core 9 features include optimized static assets, built-in OpenAPI document generation, and the HybridCache. Practical examples, such as building websites and services with ASP.NET Core, have been refreshed to utilize the latest .NET 9 features. The book also introduces Blazor, with its new unified hosting model for unparalleled code reusability. With these updates, you'll learn how to build robust applications and services efficiently and effectively. By the end of this book, you'll have the knowledge and confidence to create professional and high-performance web applications using the latest technologies in C# 13 and .NET 9.
Table of Contents (18 chapters)
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17
Index

Understanding modern 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 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 they reduced 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 databases do not just mean “no SQL”; they can also mean “not only SQL.” They 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 making programming easier by providing maximum flexibility...

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