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 previous chapters, we covered various database commands and queries. We learned to prepare query conditions and use them to find or count the matching documents. We also learned to use various conditional operators, logical operators, and regular expressions on fields, nested fields, and arrays. In addition to these, we learned how to format, skip, limit, and sort the documents in the result set.

Now that you know how to correctly find and represent the required documents from a collection, the next step is to learn how to modify the documents in the collection. When working on any database management system, you will be required to modify the underlying data. Consider this: you are managing our movies dataset and are often required to add new movies to the collection as they release. You will also be required to permanently remove some movies or remove incorrectly inserted movies from the database. Over a period of time, some movies may receive new awards, reviews...