Mongodb Fundamentals To Advanced With Pymongo

[martinstronis65]

Mongodb: Fundamentals To Advanced With Pymongo
Published 1/2025
Created by Devi G,datascience Anywhere,G Sudheer
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 42 Lectures ( 5h 49m ) | Size: 2.26 GB
A hands-on guide to mastering MongoDB and building Vector Databases
What you'll learn​

Beginner Commands in MongoDB: Learn basic CRUD operations using MongoDB Shell and Compass.
Setting Up MongoDB Atlas: Configure and manage a cloud-hosted MongoDB database on MongoDB Atlas
Connecting Python with MongoDB Atlas: Use PyMongo to connect your Python applications to MongoDB Atlas
Advanced CRUD Operations: Perform complex operations like updating multiple documents, using filters, and conditional queries.
Indexing and Aggregation: Learn how to create indexes and build efficient aggregation pipelines to handle large datasets.
Introduction to Vector Databases: Understand vector embeddings and their role in AI applications like similarity search.
Requirements
Basic knowledge of Python (even beginner-level proficiency is sufficient).
A laptop or desktop with at least 8GB RAM and a stable internet connection.
Familiarity with basic computer operations and interest in databases.
Description
Embark on a journey to master modern databases with our comprehensive course on MongoDB and Vector Databases. Whether you're a beginner or an enthusiast eager to explore advanced database techniques, this course is structured to guide you step by step.We start with the basics of MongoDB by introducing beginner-friendly commands using the MongoDB Shell and Compass. You'll set up a local MongoDB database on your desktop, learn how to create and manage databases, and perform fundamental operations like CRUD (Create, Read, Update, Delete). We'll also explore indexing and aggregation pipelines to build a solid foundation.Once you're comfortable with the basics, we move to the cloud by configuring and working with MongoDB Atlas, a powerful cloud-hosted database solution. You'll learn to create and secure a cloud database and connect it to your applications. Using PyMongo, the Python driver for MongoDB, you'll automate database tasks and implement advanced features like indexing, aggregation, and schema design-all while working seamlessly with your cloud database.Finally, we take a deep dive into Vector Databases, where you'll learn how to harness vector embeddings for AI-powered applications such as similarity search, recommendation systems, and semantic search. You'll integrate vector search with MongoDB, combining traditional database management with cutting-edge AI technologies.Through hands-on projects and real-world examples, you'll gain the skills to deploy scalable and intelligent database solutions, ensuring you're ready to tackle challenges in modern data-driven industries.
Who this course is for
Beginners who want to start their journey in database management and modern data technologies.
Python developers looking to enhance their skills by integrating databases into applications.
AI and Data Enthusiasts interested in vector search and building AI-driven solutions.
Students and professionals aiming to work with scalable cloud databases like MongoDB Atlas.
Small business owners and hobbyists seeking to manage their data efficiently.
Homepage

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!