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

MongoDB Fundamentals: A hands-on guide to using MongoDB and Atlas in the real world
By 作者:Amit Phaltankar (Author), Juned Ahsan (Author), Michael Harrison (Author), Liviu Nedov (Author)
Publisher Finelybook 出版社 : Packt Publishing (December 22, 2020)
Language : English
pages 页数: 748 pages
ISBN-10 : 1839210648
ISBN-13 : 9781839210648
The Book Description robot was collected from Amazon and arranged by Finelybook
Learn how to deploy and monitor databases in the cloud, manipulate documents, visualize data, and build applications running on MongoDB using Node.js
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

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