Rating 4.47 out of 5 (104 ratings in Udemy)
What you'll learn- Implementing NoSQL in MongoDB
- Managing Databases and Collections
- Installing and Configuring MongoDB
- Implementing MongoDB in Java Applications
- Working with MongoDB Data in Java Applications
- NoSQL Theory and Data Structures
DescriptionIn this course, you will spend the first section learning the basic concepts of NoSQL followed by a short introduction to MongoDB, MongoDB Server installation. Once the theory sections has …
Rating 4.47 out of 5 (104 ratings in Udemy)
What you'll learn- Implementing NoSQL in MongoDB
- Managing Databases and Collections
- Installing and Configuring MongoDB
- Implementing MongoDB in Java Applications
- Working with MongoDB Data in Java Applications
- NoSQL Theory and Data Structures
DescriptionIn this course, you will spend the first section learning the basic concepts of NoSQL followed by a short introduction to MongoDB, MongoDB Server installation. Once the theory sections has been learned and understood you will move through a wide range of topics centered around NoSQL and MongoDB. By following this course you will learn to use a MongoDB in a real setting using the Java programming language which is an skillset in high-demand at top companies.
At the end of this course you will be mastering MongoDB based application development.
Course Highlights
Most comprehensive course on NoSQL and MongoDB.
Simple and well explained lectures.
Learn the key differences between RDBMS and NoSQL databases
Multiple assignments created for you to learn MongoDB in depth.
Mastering MongoDB based application development.
Decide where and when to use MongoDB in your application development.
Design MongoDB database from start to end.
Spot key features and advantages of NoSQL database MongoDB over RDBMS databases
NoSQL databases (aka "not only SQL") are non-tabular databases and store data differently than relational tables. NoSQL databases come in a variety of types based on their data model. The main types are document, key-value, wide-column, and graph. They provide flexible schemas and scale easily with large amounts of data and high user loads.