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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 chapters, we covered the basics of MongoDB, its document-based data model, data types, clients, and the MongoDB server. We created an Atlas cluster on the cloud, loaded sample datasets, and connected using different clients. Now that we have the data, we can start writing queries to retrieve documents from the collections. Queries are used to retrieve meaningful data from the database. We will begin by learning about query syntax, how to use operators, and the techniques we can use to format the result sets. Practicing and mastering the query language will help you find any required document quickly and efficiently.

For any database management system, having a powerful query language is as important as its storage model, or its scalability. Consider that you are working on a database platform that offers an excellent storage model or an extremely high-performance database engine. However, it has very poor query language support, because of which you...

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MongoDB Fundamentals
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