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

Integration

So far, the topics in this chapter have focused on describing the functionality of MongoDB Charts PaaS. We have learned that users can easily build dashboards and charts using data sources from the Atlas cloud database. The last topic of this chapter addresses the end result of a MongoDB chart—that is, how the dashboards and charts can be used for presentations and applications.

One option is to save the charts as images and integrate them into MS PowerPoint presentations or to publish them as web page content. While this option is very simple, it has one main disadvantage in that the chart image is static. Therefore, the chart is not updated when the database is updated.

Another option is to use MongoDB Charts as a presentation tool. This option guarantees that charts are refreshed and rendered each time the database is updated. Nevertheless, this option is probably not ideal, as the content is limited to the MongoDB Charts user interface and cannot be easily...