Book Image

Web Development with MongoDB and Node - Third Edition

Book Image

Web Development with MongoDB and Node - Third Edition

Overview of this book

Node.js builds fast, scalable network applications while MongoDB is the perfect fit as a high-performance, open source NoSQL database solution. The combination of these two technologies offers high performance and scalability and helps in building fast, scalable network applications. Together they provide the power for manage any form of data as well as speed of delivery. This book will help you to get these two technologies working together to build web applications quickly and easily, with effortless deployment to the cloud. You will also learn about angular 4, which consumes pure JSON APOIs from a hapi server. The book begins by setting up your development environment, running you through the steps necessary to get the main application server up-and-running. Then you will see how to use Node.js to connect to a MongoDB database and perform data manipulations. From here on, the book will take you through integration with third-party tools to interact with web apps. You will see how to use controllers and view models to generate reusable code that will reduce development time. Toward the end, the book supplies tests to properly execute your code and take your skills to the next level with the most popular frameworks for developing web applications. By the end of the book, you will have a running web application developed with MongoDB, Node.js, and some of the most powerful and popular frameworks.
Table of Contents (19 chapters)
Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

The NoSQL movement


Let's start by exploring the answers to the question: What exactly is a NoSQL database? NoSQL is a common term for database technologies that deviate from the traditional Relational Database Management System (RDBMS) concepts. The common reason for these database solutions to deviate from RDBMS database standards is to achieve and set better standards of availability and partitioning capabilities than traditional RDBMS solutions.

To introduce you to this concept, we should have a look at the Brewer's theorem, which is otherwise known as the CAP theorem:

"It is impossible for a distributed computer system to simultaneously provide all three of the following guarantees: Consistency, Availability, and Partition Tolerance."

Traditional RDBMS solutions are good at consistency, but compromise a little once it comes to providing better availability (data reads) and partitioning capabilities. Most of the NoSQL solutions have been evolved in this direction to achieve better heights in data availability and partitioning.

As this is a common term for any database technology that deviates from the concepts followed by RDBMS solutions such as MySQL, PostgreSQL, and so on, there are various subsets for NoSQL databases. Most popular subsets of NoSQL are document stores, key-value stores, and graph-based database solutions. MongoDB, which is the one we are going to try out, falls into the document store category. There are many more NoSQL solutions available in the market apart from MongoDB, such as Cassandra, Redis, Neo4j, HBase, and so on.