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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

BSON

When you work with MongoDB using database clients such as mongo shell, MongoDB Compass, or the Collections Browser in Mongo Atlas, you always see the documents in human readable JSON format. However, internally, MongoDB documents are stored in a binary format called BSON. BSON documents are not human-readable, and you will never have to deal with them directly. Before we explore MongoDB documents in detail, let's have a quick overview of the BSON features that benefit the MongoDB document structure.

Like JSON, BSON was introduced in 2009 by MongoDB. Although it was invented by MongoDB, many other systems also use it as a format for data storage or transportation. BSON specifications are primarily based on JSON as they inherit all the good features of JSON, such as the syntax and flexibility. It also provides a few additional features, which are specifically designed for improving storage efficiency, ease of traversal, and a few data type enhancements to avoid the type conflicts that we saw in the Introduction to JSON section.

As we have already covered the JSON features in detail, let's focus on the enhancements that BSON provides:

  • BSON documents are designed to be more efficient than JSON as they occupy less space and provide faster traversal.
  • With each document, BSON stores some meta-information, such as the length of the fields or the length of the sub-documents. The meta-information makes the document parsing, as well as traversing, faster.
  • BSON documents have ordered arrays. Each element in an array is prefixed by its index position and can be accessed using its index number.
  • BSON provides many additional data types, such as dates, integers, doubles, byte arrays, and more. We will cover BSON data types later, in the next section.

    Note

    Because of the binary format, BSON documents are compact in nature. However, some smaller documents end up occupying more space compared to JSON documents with the same information. This is because of the meta-information added to each document. However, for large documents, BSON is more space efficient.

Now that we have completed a detailed introduction to JSON and BSON enhancements, let's now learn about MongoDB documents.

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