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MongoDB Tutorial - Learn MongoDB from Scratch

Overview

MongoDB is an open-source, cross-platform, document-oriented database system that is written in C++ programming language. MongoDB database allows several functioning such as insert, update, delete, query, projection, sort () and limit () methods, create and drop collection, and many lists.

MongoDB is a document-oriented NoSQL database mainly used for high-volume data storage.MongoDB is a database that came into existence around the mid-year of the 2000s. It falls under the category of a NoSQL database.

Watch this MongoDB Tutorial to enhance your knowledge!

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Despite having a similar functionality with the other NoSQL technologies, MongoDB has created a distinctive place for itself. How and why? Read below :

  • Suitable for real-time analytics and processing massive amounts of queries
  • Faster access to data as it uses internal memory for storing data
  • Embedded documents and arrays reduce need to use expensive joins
  • Ability to run over multiple servers
  • The load is balanced automatically by keeping data in shards
  • Failures are easily administered during failures.

MongoDB versus MySQL

Over a decade MySQL has enjoyed its supremacy as it was an inexpensive and widely used relational database management system for storing structured data. However, with the advent of the digital age, the data has not remained limited to a single type but can be in any form and in massive amounts. MongoDB is one of the new-age databases that solve some of the conventional issues.How is MongoDB better than MySQL? Let’s compare these two technologies :

Criteria MongoDB MySQL
Data Models Many alternative data models Relational database management system
Architecture Schemaless Schema
Operations Supports atomicity A transactional relation datastore
Query Language JSON query SQL
Performance Enhancement by Server-side scripting Stored procedures implemented
Scalability Highly scale Not Scalable
Speed Faster Slower

This MongoDB tutorial is a quick tour of MongoDB operations and concepts. It covers the step-by-step installation of the MongoDB framework on your system or VMware. While you start working in a professional environment, no organization teaches the installation process. Thus, it is a virtual tutor to help you successfully institute the software.

It further includes tutoring on data administration, aggregation, replication, sharding, and working with indexes. Along with elementary conceptual knowledge, you gain an understanding of data models and document structure in MongoDB. Since it is an online tutorial, you can learn anytime from anywhere and on any of your devices-laptop, mobile phone, tablet. Our learning packages support both Android and iOS, offering ease of accession.

In the end, it focuses on imparting tips for using MongoDB as per data requirements and handling it when some failures or system crashes occur. It gives you the complete know-how of working with this contemporary yet popular database.

Certification in Bigdata Analytics

Recommended Audience for MongoDB Tutorial

  • Software Architects and System Administrators
  • Database Professionals aiming to enhance their knowledge of database management
  • Project Managers aspiring to learn and teach their teammates advanced ways of database management
  • Entry-level programmers in Java, C++, and Python,  keen to add an advanced learning course to their Resume for jobs in top MNCs
  • Graduates keen to add an advanced learning course to their Resume for jobs in top MNCs

Prerequisites for MongoDB Tutorial

  • The best thing about opting for this MongoDB tutorial is that you need not learn any big data processing and related technology in advance.
  • It’s just your database concepts that can help you time and again while going through Intellipaat’s content-rich MongoDB tutorial.
  • You can relate the explanations as and when you apply them to real-time projects.

Course Schedule

Name Date Details
MongoDB Training 28 Dec 2024(Sat-Sun) Weekend Batch View Details
04 Jan 2025(Sat-Sun) Weekend Batch
11 Jan 2025(Sat-Sun) Weekend Batch

About the Author

Data Engineer

As a skilled Data Engineer, Sahil excels in SQL, NoSQL databases, Business Intelligence, and database management. He has contributed immensely to projects at companies like Bajaj and Tata. With a strong expertise in data engineering, he has architected numerous solutions for data pipelines, analytics, and software integration, driving insights and innovation.