Reactive Programming with Rx.NET and C#: Manage Real-Time Data Streams
Learn to process asynchronous, event-driven data streams in C# using Reactive Extensions to build responsive and scalable .NET applications.
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Modern applications must handle continuous streams of data, from user interface events to real-time financial feeds. Managing these asynchronous events with traditional tools often leads to complex, hard-to-maintain code.
This text-based course guides you through Reactive Extensions (Rx.NET), a powerful framework that lets you treat event streams as queryable collections. You will transition from writing complex asynchronous boilerplate to composing clean, declarative reactive pipelines using C# and .NET.
What you'll learn:
- Understand the foundational principles of the reactive programming paradigm and how push-based collections differ from traditional pull-based collections.
- Implement the core Observable and Observer interfaces to produce and consume custom data streams.
- Apply essential Rx.NET operators to filter, transform, and aggregate real-time data.
- Manage complex timing operations, buffering, and throttling to control high-frequency event streams.
- Combine multiple asynchronous data streams using advanced merging and joining operators.
- Integrate Rx.NET with modern C# asynchronous features like async/await and asynchronous streams.
You will start with the fundamental concepts of observables and observers before progressing to practical stream manipulation, error handling, and concurrency management. Through clear written explanations and structured code examples, you will build a solid foundation in reactive architecture.
This course is designed for C# developers who are familiar with basic .NET collections and LINQ, but are completely new to reactive programming and Rx.NET.
Start reading today to unlock the power of declarative, event-driven programming in your C# applications.
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Reactive Programming with Rx.NET and C#: Manage Real-Time Data Streams
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1.2 시간
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1.4 시간
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Reactive Programming with Rx.NET and C#: Manage Real-Time Data Streams