MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
October 2020 | ISBN: 9781800567870 | English
Duration: 50 Lessons (5h 33m) | Size: 2.83 GB
Get to grips with MongoDB and learn how it is used in the real-world to scale applications
Distinguish between MongoDB and other NoSQL databases
Connect MongoDB with a working Node.js server
Discover techniques for scaling a MongoDB application
Perform basic and dynamic queries on a MongoDB database
Use the sharding process to break large tables of data into smaller chunks
Understand how to perform unit testing in a MongoDB application
MongoDB is a popular choice among companies such as MTV, Craigslist, IBM, Uber, and eBay. If you want to develop MongoDB skills and build applications that scale, this course is for you. In no time, you’ll cover the basic as well as advanced MongoDB topics and get ready to apply your skills in the real world.
The course begins with an introduction to MongoDB, guiding you through the installation process and helping you understand how MongoDB is different from other traditional NoSQL databases. With the help of a practical exercise, you’ll learn how to connect MongoDB to an active Node.js server and advance to building schemas with prescribed datatypes, MongoDB methods, and the mongoose library. You’ll also discover the benefits of domain-driven design principles. This course will show you how to perform operations such as posts, queries, and updates on your MongoDB database and give you an overview of embedded documents. Finally, you’ll cover topics such as unit testing, pagination, indexing, sharding, and replication.
By the end of this course, you’ll have developed the MongoDB skills needed to build a robust application that can handle an extensive database easily.
All the code and supporting files for this course are available on GitHub at https://github.com/PacktPublishing/MongoDB-from-Basics-to-Advanced
Find out why MongoDB is an excellent choice of database
Discover how to connect MongoDB to cloud services and local databases
Become familiar with sharding, testing, indexing, and replication