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Updated in [April 29th, 2023]

Learn basics of NoSQL and MongoDB


What you'll learn:

Concept of NoSQL database
CAP theorem
Types of NoSQL databases
MongoDB installation on Windows
Overview the MongoDB and Create the MongoDB database
CRUD operations in MongoDB
Sorting Documents

The excessive use of the internet has resulted in massive collection of structured, semi structured and unstructured data. The need to process and store this data in a timely and cost effective way has led to the adoption of the computer cluster and distributed systems. NoSQL databases are more efficient to handle such rapidly evolving massive unstructured data as compare to traditional relational databases.
MongoDB is a document oriented NoSQL database built on a scale-out architecture that has become popular with developers of all kinds who are building scalable applications using agile methodologies. MongoDB was built for people who are building internet and business applications who need to evolve quickly and scale elegantly. MongoDB is one of the new open source databases . MongoDB has always focused on providing developers an excellent user experience, which, in addition to all its other properties, has made MongoDB a favorite of developers worldwide for a huge variety of applications.
This course is for beginners in MongoDB. This course covers basics of NoSQL and MongoDB database. It will start by introducing NoSQL database and its need, CAP theorem, types of NoSQL databases, MongoDB overview, installation, creation of a database and collection, basic commands, performing CRUD operations and sorting operation.

(Please note that we obtained the following content based on information that users may want to know, such as skills, applicable scenarios, future development, etc., combined with AI tools, and have been manually reviewed)
Learning MongoDB - NoSQL Database is an online course that provides learners with the skills and knowledge to understand and use NoSQL databases. Learners will gain an understanding of the concept of NoSQL databases, the CAP theorem, different types of NoSQL databases, and how to install and use MongoDB. They will learn how to create a MongoDB database and collection, use basic commands, perform CRUD operations, and sort documents. This course is ideal for those who are new to MongoDB and want to gain the necessary skills to develop applications using MongoDB. It is also suitable for those who want to learn more about NoSQL databases and how to use them in their projects. With this course, learners will be able to develop their skills in online learning, skill training, and database management.

[Applications]
Upon completion of this course, learners will be able to understand the concept of NoSQL database, CAP theorem, types of NoSQL databases, MongoDB installation on Windows, overview the MongoDB and create the MongoDB database, perform CRUD operations in MongoDB and sorting documents. Learners can apply this knowledge to develop applications using MongoDB and NoSQL databases.

[Career Paths]
1. NoSQL Database Administrator: NoSQL Database Administrators are responsible for managing and maintaining NoSQL databases. They are responsible for ensuring the performance, availability, and security of the database. They also need to monitor the database for any issues and troubleshoot them. As the demand for NoSQL databases increases, the demand for NoSQL Database Administrators is also increasing.

2. MongoDB Developer: MongoDB Developers are responsible for developing applications using MongoDB. They need to have a good understanding of MongoDB and its features. They need to be able to design and develop applications that are optimized for MongoDB. As the demand for MongoDB increases, the demand for MongoDB Developers is also increasing.

3. MongoDB Consultant: MongoDB Consultants are responsible for providing advice and guidance to clients on how to use MongoDB. They need to have a good understanding of MongoDB and its features. They need to be able to provide advice on how to optimize applications for MongoDB. As the demand for MongoDB increases, the demand for MongoDB Consultants is also increasing.

4. Data Scientist: Data Scientists are responsible for analyzing and interpreting data. They need to have a good understanding of MongoDB and its features. They need to be able to analyze and interpret data stored in MongoDB. As the demand for data analysis and interpretation increases, the demand for Data Scientists is also increasing.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree program focuses on the fundamentals of computer science, such as programming, software engineering, and computer architecture. It also covers topics such as database management, artificial intelligence, and computer networks. With the increasing demand for data-driven solutions, this degree path is becoming increasingly popular.

2. Master of Science in Data Science: This degree program focuses on the application of data science techniques to solve real-world problems. It covers topics such as machine learning, data mining, and natural language processing. It also covers topics such as data visualization, data analysis, and predictive analytics. This degree path is becoming increasingly popular as businesses are looking for ways to leverage data to gain insights and make better decisions.

3. Master of Science in Artificial Intelligence: This degree program focuses on the development of intelligent systems and their applications. It covers topics such as machine learning, natural language processing, and computer vision. It also covers topics such as robotics, autonomous systems, and intelligent agents. This degree path is becoming increasingly popular as businesses are looking for ways to leverage AI to automate processes and gain insights.

4. Doctor of Philosophy in Computer Science: This degree program focuses on advanced topics in computer science, such as algorithms, distributed systems, and computer networks. It also covers topics such as artificial intelligence, machine learning, and data mining. This degree path is becoming increasingly popular as businesses are looking for ways to leverage advanced technologies to gain insights and make better decisions.