Data is a very popular buzzword in the technology industry right now. As more and more people move their activities online, the data companies and websites collect on them will become even more relevant. And guess what that means? Programmers and developers who know their way around databases – and more importantly, who can actually interpret and build things from them – will be in high demand. MongoDB is one of the most dynamic databases out there, so getting to grips with it sooner rather than later means you’ll stay well ahead of the curve.
Become a MongoDB Master
Approach Data in New Exciting Ways
This MongoDB online course has been designed for web developers, web designers, web architects, testers, site administrators, and pretty much anyone who already has a working knowledge of web development. Although it’s not vital, knowing how to build web UI components and a familiarity with NoSQL persistence will help. This course is absolutely not limited to developers only, however.
The goal is to provide a solid foundation of MongoDB knowledge. To get you up and running on building your own web apps with MongoDB at their core, and to help you understand the capabilities, functionality and limitations of what this database can do.
You’ll learn how to configure and run MongoDB, start importing data, and then quickly get stuck into creating new databases. You’ll pick up Mongo Query Language commands and dive into one of MongoDB’s most powerful features, the Aggregation Framework. You’ll work through detailed examples to gain an understanding of the various pieces of the puzzle, all the while learning about this database’s scaling, replication, and sharding abilities.
By the end of this course, those examples you’ve been working on will all fit together to form a complete, working web application that’s fully integrated with MongoDB. And not only that, you’ll have the confidence, knowledge and practice needed to start working on your own MongoDB projects straight away.
About MongoDB
MongoDB is an open source database with a document-oriented data model. It differs from a relational database in that instead of storing data in tables and rows, it stores JSON-like documents with dynamic schemas. Because of this, it lends developers the ability to create applications rooted in data in ways they never could before.