Book Image

MongoDB Fundamentals

By : Amit Phaltankar, Juned Ahsan, Michael Harrison, Liviu Nedov
Book Image

MongoDB Fundamentals

By: Amit Phaltankar, Juned Ahsan, Michael Harrison, Liviu Nedov

Overview of this book

MongoDB is one of the most popular database technologies for handling large collections of data. This book will help MongoDB beginners develop the knowledge and skills to create databases and process data efficiently. Unlike other MongoDB books, MongoDB Fundamentals dives into cloud computing from the very start – showing you how to get started with Atlas in the first chapter. You will discover how to modify existing data, add new data into a database, and handle complex queries by creating aggregation pipelines. As you progress, you'll learn about the MongoDB replication architecture and configure a simple cluster. You will also get to grips with user authentication, as well as techniques for backing up and restoring data. Finally, you'll perform data visualization using MongoDB Charts. You will work on realistic projects that are presented as bitesize exercises and activities, allowing you to challenge yourself in an enjoyable and attainable way. Many of these mini-projects are based around a movie database case study, while the last chapter acts as a final project where you will use MongoDB to solve a real-world problem based on a bike-sharing app. By the end of this book, you'll have the skills and confidence to process large volumes of data and tackle your own projects using MongoDB.
Table of Contents (15 chapters)
Preface

Database Design

As per the requirements described in the previous sections, the three basic entities to be persisted are user, vehicle, and ride. The user and vehicle entities will store the attributes of users and vehicles respectively, while the ride entity will be created whenever a new ride is commenced.

Apart from the basic entities, an additional entity is needed to track the bike ride logs. For each active ride, the system captures and logs the bike's location. The logs will be used for reporting and analytics purposes.

Because of the document-based dataset offered by MongoDB, all the entities can easily be designed as collections. These collections and some of their sample records will be explored in the next sections.

Users

The users collection holds data for all who have registered in the system. The following code snippet shows a sample document that represents one of the registered users:

{
    "_id" : "a6e36e30-41fa...