MongoDB Fundamentals: A hands-on guide to using MongoDB and Atlas in the real world

Learn how to deploy and monitor databases in the cloud, manipulate documents, visualize data, and build applications running on MongoDB using Node.js

Key Features

• Learn the fundamentals of NoSQL databases with MongoDB
• Create, manage, and optimize a MongoDB database in the cloud using Atlas
• Use a real-world dataset to gain practical experience of handling big data

Book Description

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.

What you will learn

• Set up and use MongoDB Atlas on the cloud
• Insert, update, delete, and retrieve data from MongoDB
• Build aggregation pipelines to perform complex queries
• Optimize queries using indexes
• Monitor databases and manage user authorization
• Improve scalability and performance with sharding clusters
• Replicate clusters, back up your database, and restore data
• Create data-driven charts and reports from real-time data

Who this book is for

This book is designed for people who are new to MongoDB. It is suitable for developers, database administrators, system administrators, and cloud architects who are looking to use MongoDB for smooth data processing in the cloud. Although not necessary, basic knowledge of a general programming language and experience with other databases will help you grasp the topics covered more easily.

Table of Contents

1. Introduction to MongoDB
2. Documents and Data Types
3. Servers and Clients
4. Querying Documents
5. Inserting, Updating, and Deleting Documents
6. Updating with Aggregation Pipelines and Arrays
7. Data Aggregation
8. Coding JavaScript in MongoDB
9. Performance
10. Replication
11. Backup and Restore in MongoDB
12. Data Visualization
13. MongoDB Case Study

Amit Phaltankar is a software developer and a blogger with more than 13 years of experience in building lightweight and efficient software components. He specializes in wiring web-based applications as well as handling large scale data sets using traditional SQL, NoSQL, and big data technologies. He has work experience in a wide range of technology stack and loves learning and adapting to newer technology trends. Amit has a huge passion for improving his skill set and also loves guiding and grooming his peers and contributing to blogs. During the last 6 years, he has effectively used MongoDB in various ways to build faster systems.

Juned Ahsan is a software professional with more than 14 years of experience. He has built software products and services for companies and clients such as Cisco, Nuamedia, IBM, Nokia, Telstra, Optus, Pizzahut, AT&T, Hughes, Altran, and others. Juned has a vast experience in building software products and architecting platforms of different sizes from scratch. He loves to help and mentor others and is a top 1% contributor on StackOverflow. He is passionate about cognitive CX, cloud computing, artificial intelligence, and NoSQL databases.

Michael Harrison started his career at the Australian telecommunications leader Telstra. He worked across their networks, big data, and automation teams. He is now a lead software developer and the founding member of Southbank Software, a Melbourne based startup that builds tools for the next generation of database technologies.

Liviu Nedov is a senior consultant with more than 20 years of experience in database technologies. He has provided professional and consulting services to customers in Australia and Europe. Throughout his career, he has designed and implemented large enterprise projects for customers like Wotif Group, Xstrata Copper/Glencore, and the University of Newcastle and Energy, Queensland. He is currently working at Data Intensity, which is the largest multi-cloud service provider for applications, databases, and business intelligence. In recent years, he is actively involved in MongoDB NoSQL database projects, database migrations, and cloud DBaaS (Database as a Service) projects.