Gain insights into reactive programming with RxJS 7, explore data streams, error handling, and multicasting to build a recipe app, and learn to test and optimize reactive applications.

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The reactive programming paradigm is designed to make working with asynchronous events and data streams convenient. 

This course teaches you about the reactive programming paradigm and when to choose it over others. You’ll learn to use new RxJS 7 features to create a recipe book web application that lets users browse and share recipes. In this context, you’ll learn about data streams, error handling, and how to combine streams and transform one data stream into another. You’ll develop an understanding of multicasting and caching streams, how to share data between components, perform bulk operations such as file uploads, and perform real-time updates. Finally, you’ll learn how to test a reactive application. To assess your knowledge, there’s a project, coding challenges, and assessments.

After this course, you’ll be able to determine the utility of the reactive paradigm for any application and have mastery over new RxJS 7 features to create robust reactive applications.

Reactive Programming with Angular and RxJS 7

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# Data management

It's all about data! The way we manage the application's data has a huge impact
on the UI performance and the user experience. And, as far as I'm concerned, great user experience and performant UIs are no longer an option today. In fact, they're key determinants of user satisfaction. Besides, managing data efficiently optimizes the code and enhances its quality, which consequently minimizes maintenance and improvement costs. 

So how can we manage our data efficiently? Well, this is what we'll be answering in the following chapters. A few reactive patterns come in handy in many use cases, and we'll start by exploring the reactive pattern to fulfill a common and crucial use case, which is displaying values received from a REST endpoint for users to read and interact with. 

We'll start by explaining the requirements we'll implement in the recipe book application. Then we'll introduce the classic pattern to retrieve data, followed by the different approaches that we can use to manage unsubscriptions and
all the important technical concepts surrounding them. Following this, we'll explain the reactive pattern to fetch data. Finally, we'll highlight the advantages of the reactive pattern over the classic one. Ready? Let's get started.

Take a look at our application from a data management perspective.

Introduction to Fetching Data

Getting Started

The Power of the Reactive Paradigm

RxJS 7—The Major Features

A Walk-Through of the Application

Fetching Data as Streams

Error Handling

Combining Streams

Assessment 1

Transforming Streams

Multicasting Essentials

Caching Streams

Sharing Data between Components

Bulk Operations

Processing Real-Time Updates

Testing RxJS Observables

Assessment 2

Conclusion

Introduction to Fetching Data

Data management