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 learned the fundamentals of interacting with MongoDB. With these basic operations (insert, update, and delete), we can now begin exploring and manipulating our data as we would with any other database. We also observed how, by fully leveraging the find command options, we can use operators to answer more specific questions about our data. We can also sort, limit, skip, and project on our query to create useful result sets.

In more straightforward situations, these result sets may be enough to answer your desired business question or satisfy a use case. However, more complex problems require more complex queries to answer. Solving such problems with just the find command would be highly challenging and would likely require multiple queries or some processing on the client side to organize or link the data.

The basic limitation is where you have data contained in two separate collections. To find the correct data, you would have to run...