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

MongoDB Query Structure

MongoDB queries are based on JSON documents in which you write your criteria in the form of valid documents. With the data stored in the form of JSON-like documents, the queries seem more natural and readable. The following diagram is an example of a simple MongoDB query that finds all the documents where the name field contains the value David:

Figure 4.1: MongoDB Query Syntax

To draw a comparison with SQL, let's rewrite the same query in SQL format. This query finds all the rows from the USERS table that contain the name column where the value of name is David, as follows:

SELECT * FROM USERS WHERE name = 'David';

The most notable difference between the preceding queries is that the MongoDB queries do not have keywords such as SELECT, FROM, and WHERE. Thus, you need not remember a lot of keywords and their uses.

The absence of keywords makes the queries less wordy and hence more focused, and less error-prone...