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

Introduction

In the previous chapters, we have relied primarily on the sample data preloaded into a MongoDB Atlas instance. Unless you are working on a new project, this is generally the way a database will first appear to you. However, when you are hired or moved to a different project with a MongoDB database, it will contain all the data that was created before you started there.

Now, what if you require a local copy of this data to test your applications or queries? It is often not safe or feasible to run queries directly against production databases, so the process of duplicating datasets onto a testing environment is quite common. Similarly, when creating a new project, you may wish to load some sample data or test data into the database. In this chapter, we will examine the procedures for migrating, importing or exporting for an existing MongoDB server and setting up a new database with existing data.

Note

Throughout this chapter, the exercises and activities included...