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MongoDB Fundamentals

MongoDB Fundamentals

By : Amit Phaltankar , Juned Ahsan , Michael Harrison , Liviu Nedov , Sam Anderson
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MongoDB Fundamentals

MongoDB Fundamentals

5 (24)
By: Amit Phaltankar , Juned Ahsan , Michael Harrison , Liviu Nedov , Sam Anderson

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)
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Preface

Introduction

In the previous chapter, we learned how MongoDB, as a NoSQL database, differs from traditional relational databases. We covered the basic features of MongoDB, including its architecture, its different versions, and MongoDB Atlas.

MongoDB is designed for modern-world applications. We live in a world where requirements change rapidly. We want to build lightweight and flexible applications that can quickly adapt to these new requirements and ship them to production as quickly as possible. We want our databases to become agile so that they can adapt to the ever-changing needs of our applications, reduce downtime, scale out easily, and perform efficiently. MongoDB is a perfect fit for all such needs.

One of the major factors that make MongoDB an agile database is its document-based data model. Documents are widely accepted as a flexible way of transporting information. You might have come across many applications that exchange data in the form of JavaScript Object Notation (JSON) documents. MongoDB stores data in Binary JSON (BSON) format and represents it in human readable JSON. This means that when we use MongoDB, we see the data in JSON format. This chapter begins with an overview of the JSON and BSON formats, followed by details of MongoDB documents and data types.

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MongoDB Fundamentals
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