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Modern Full-Stack React Projects

Modern Full-Stack React Projects

By : Bugl
4.8 (9)
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Modern Full-Stack React Projects

Modern Full-Stack React Projects

4.8 (9)
By: Bugl

Overview of this book

Understanding full-stack development is vital as companies aim to bridge the gap between frontend and backend development. Recent trends show deeper integration between the two, opening numerous possibilities for building real-world web applications, through server-side technologies like Node.js, Express, and MongoDB. Written by the author of Learning Redux and Learn React Hooks, and CEO of TouchLay, Modern Full-Stack React Projects will guide you through the entire process of advancing from a frontend developer to a full-stack developer. Starting with how to set up robust projects that can be maintained for a long time, you’ll then progress toward developing a backend system and integrating it with the frontend. Throughout the book, you’ll learn how to build, test, and deploy a blog application and a chat application. You’ll also explore MongoDB, Express, React, Node.js (MERN) stack, best practices for frontend and backend development, different full-stack architectures, unit and end-to-end testing, and deployment of full-stack web applications. Once you get to grips with the essential concepts, you’ll progress to learn how to use Next.js, an enterprise-grade full-stack web framework for React. By the end, you’ll be well-versed in the MERN stack and all set to create performant and scalable full-stack web applications.
Table of Contents (28 chapters)
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1
Part 1:Getting Started with Full-Stack Development
4
Part 2:Building and Deploying Our First Full-Stack Application with a REST API
8
Part 3:Practicing Development of Full-Stack Web Applications
16
Part 4:Exploring an Event-Based Full-Stack Architecture
20
Part 5:Advancing to Enterprise-Ready Full-Stack Applications

Introducing MongoDB, a document database

MongoDB, at the time of writing, is the most popular NoSQL database. Unlike Structured Query Language (SQL) databases (such as MySQL or PostgreSQL), NoSQL means that the database specifically does not use SQL to query the database. Instead, NoSQL databases have various other ways to query the database and often have a vastly different structure of how data is stored and queried.

The following main types of NoSQL databases exist:

  • Key-value stores (for example, Valkey/Redis)
  • Column-oriented databases (for example, Amazon Redshift)
  • Graph-based databases (for example, Neo4j)
  • Document-based databases (for example, MongoDB)
Figure 2.7 – Overview of NoSQL databases

Figure 2.7 – Overview of NoSQL databases

MongoDB is a document-based database, which means that each entry in the database is stored as a document. In MongoDB, these documents are basically JSON objects (internally, they are stored as BSON – a binary JSON format...

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