The document provides an introduction to MongoDB, a NoSQL database management system known for its high availability and fault tolerance. It covers MongoDB's history, key features, real-life use cases, and its document-oriented data model, emphasizing flexible schema and scalability. CRUD operations are outlined briefly, alongside examples of applications in various sectors such as content management and e-commerce.

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Introduction to
MongoDB
Presented by – Harsh Kumar
USN – 1RV21EC065

2. • What is MongoDB?
• History of MongoDB.
• Key features of MongoDB.
• Some real life Use cases of MongoDB.
• Data Models.
• CRUD operations in MongoDB.
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What is MongoDB?
• It is a noSQL database management system.
• It supports high availability and fault tolerance and also support low – latency data retrieval.
• It provides a flexible, scalable, and high-performance solution for storing and managing data.
• It can handle large volumes of unstructured, semi-structured, or structured data.

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History of MongoDB
• It was First released in 2009 by the company 10gen , now know as MongoDB inc. by Dwight
Merriman , Eliot Horowitz and Kevin Ryan in response to the limitations of traditional databases.
• Different Versions of MongoDB along with their date of launch:
MongoDB 2.0 (September 2011)
MongoDB 3.0 (February 2015)
MongoDB 3.4 (November 2016)
MongoDB 4.0 (June 2018)
MongoDB 4.4 (July 2020)
MongoDB 7.0 (August 2023) – By far the last update ( currently in use )

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Key Features of MongoDB
• Flexible Schema - means that the documents in a collection can have varying
structures.
• MongoDB is document oriented.
• Better scalability.
• High Performance.

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Some Real life use cases of MongoDB
• Content Management System (CMS).
• Real Time Analytics.
• IOT.
• Mobile/Web App Backends.
• Utilized in E-Commerce platforms for product catalogs , order processing and to maintaining
user engagement analytics.

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Data Model
• MongoDB is Document oriented - It stores data in format called documents where a document
is a BJSON structure that consists key - value pairs. Each attribute in a mongoDB document is
seperated by commas. Each documents in the same collection can have different fields and
attributes and each documents represents a single entity.
• MongoDB uses BJSON like documents for data storage and interchange . BJSON supports
various datatypes such as string , numbers , arrays , nested documents , regular expression and
more.

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Data Model

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CRUD Operations in MongoDB
how to create a database in Mongosh :

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CRUD Operations in MongoDB
Insert Operation:
Note : When we insert Multiple document using insertMany() method it expects an array of documents as argument..

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CRUD Operations in MongoDB
Find Operation:

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CRUD Operations in MongoDB
Update Operation:

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CRUD Operations in MongoDB
Delete Operation:

14. Thank You
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