MongoDB Tutorial
MongoDB is an open-source document database and a leading NoSQL database, written in C++. This tutorial will provide a comprehensive understanding of MongoDB concepts necessary for creating and deploying highly scalable and performance-oriented databases.
MongoDB features flexible data models that allow the storage of unstructured data, providing full support for indexing, replication, capabilities, and user-friendly APIs.
As a multipurpose dataset, MongoDB is used for modern application development and cloud environments. Its scalable architecture enables handling system demands and adding more nodes to distribute the load.
MongoDB Basic Commands
Here is a list of standard MongoDB commands used to interact with the database. These commands, which include CREATE, READ, INSERT, UPDATE, DELETE, DROP, and AGGREGATE, can be classified into the following groups based on their nature:
Command | Description |
---|---|
CREATE | Creates a new table in the database and other objects in the database. |
INSERT | Inserts collection name into an existing database. |
DROP | Deletes an entire table or specified objects in the database. |
UPDATE | Updates the document in a collection. |
Why Learn MongoDB?
MongoDB can handle unstructured data, providing better indexing and operations. It ensures that software applications can handle all types of data in a scalable manner.
With rapid iterative development, MongoDB enables collaboration among large teams. As one of the most essential databases globally, it simplifies data storage, management, and retrieval for every developer.
MongoDB Applications
As a NoSQL database, MongoDB offers the following functionalities for database programmers:
- Stores user data, comments, and metadata.
- Performs complex analytics queries and stores behavioral data.
- Manages chain data and optimizes logistics.
- Stores and analyzes environmental data and IoT devices.
Who Should Learn MongoDB?
This MongoDB tutorial is designed for web developers, DevOps engineers, mobile app developers, backend and full-stack developers, and database administrators. It is recommended to read this tutorial in the sequence listed in the left-side menu.
Prerequisites to Learn MongoDB
Before proceeding with this tutorial, you should have a basic understanding of databases, text editors, and program execution. Since we will develop a high-performance database, a fundamental understanding of basic database concepts (RDBMS) is advantageous.
MongoDB is typically used in application development, so familiarity with at least one programming language is helpful for working with APIs.
MongoDB Jobs and Opportunities
MongoDB is in high demand professionally and is exponentially growing in the IT industry. The job market for MongoDB professionals is expanding at a growth rate of 50%, while the NoSQL database market is growing at a rate of 30%.
The average salaries for MongoDB professionals range from $100,000 to $200,000, varying based on location. The following companies actively recruit MongoDB professionals:
- Accenture
- IBM
- Deloitte
- Capgemini
- TCS
- Infosys
- Wipro
- Amazon
- Microsoft
- HCL
You could be the next employee for any of these major companies. We have developed excellent learning materials for MongoDB to help you prepare for technical interviews and certifications. Start learning MongoDB with our tutorial anytime and anywhere, at your own pace.
- MongoDB Get Started
- MongoDB Introduction
- MongoDB Installation
- MongoDB Server
- MongoDB Shell
- MongoDB Shell Commands
- MongoDB Compass
- MongoDB Database
- MongoDB Collections
- MongoDB Documents
- Insert Single Document
- Insert Multiple Document
- Import Data to Collection
- Find Single Document
- Find Multiple Documents
- MongoDB Cursor
- MongoDB Sort Documents
- Update Single Document
- Find Multiple Document
- MongoDB Update Arrays
- MongoDB Delete Documents
- MongoDB Relations
- MongoDB Aggregations
- MongoDB Indexing/Searching
- MongoDB Validation
- MongoDB Data API
- MongoDB Query API
- MongoDB Drivers
- MongoDB Node.JS Driver
- MongoDB Charts