Interaction with MongoDB

MongoDB is a NoSQL database designed for high performance, high availability, and easy scalability. It uses a document-oriented data model, where data is stored in flexible, JSON-like documents instead of tables and rows as in traditional relational databases. This allows for more dynamic and complex data structures.

In this lab you will learn to interact with mongoDB from python code and perform basic CRUD (Create, Read, Update & Delete) operations.

Prerequisites

It is good to have the basic idea of mongoDB and how to use it from CLI using its docker Image, if you want to learn about mongoDB refer to: NoSQL Basics To understand the basics of docker, you may refer to this lab:Docker Basics.

Applications of MongoDB

• Content Management: MongoDB is used to manage large volumes of content, such as blogs, news sites, and social media platforms.

• Real-Time Analytics: It is ideal for applications that require real-time data processing and analytics, such as IoT applications and financial services.

• Product Data Management: MongoDB's flexible schema is perfect for managing product catalogs, customer profiles, and other types of dynamic data.

• Mobile and Web Applications: MongoDB's scalability and flexibility make it a popular choice for backend data storage in mobile and web applications.

• Big Data: MongoDB can handle vast amounts of data, making it suitable for big data applications and data warehousing.

Pymongo Library

pymongo is a Python library that provides tools to interact with MongoDB databases. It is a widely-used library that allows Python developers to perform CRUD (Create, Read, Update, Delete) operations on MongoDB databases with ease.

Why Use pymongo?

• Integration with Python: pymongo allows seamless integration with Python applications, making it easy to use MongoDB as a backend database for web apps built with frameworks like Django and Flask.

• Ease of Use: It provides an intuitive API for performing database operations, making it accessible for both beginners and experienced developers.

• Flexibility: pymongo supports a wide range of MongoDB features, including aggregation, indexing, and transactions.

• Community and Documentation: pymongo has a large community and comprehensive documentation, providing plenty of resources for learning and troubleshooting.

Installation:

pip install pymongo

What You Will Learn

• Setting up a MongoDB database

• Connecting to MongoDB using pymongo

• Performing CRUD operations (Create, Read, Update, Delete)

• Understanding MongoDB documents and collections

• Handling exceptions and errors