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Udemy Master MongoDB Database Design + Compass + Mongosh + PyMongo (1 Viewer)

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 Udemy Master MongoDB Database Design + Compass + Mongosh + PyMongo (1 Viewer)

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MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 35 Lectures ( 2h 27m ) | Size: 1.5 GB


Master MongoDB using MongoDB Compass & Shell mongosh, MongoDB Atlas, CRUD, Indexing, Aggregation, Embedding, Referencing
What you'll learn
✓ Students will learn MongoDB fundamentals including databases, collections, and documents.
✓ They will perform CRUD operations and write efficient queries.
✓ They will perform CRUD operations and write efficient queries.
✓ They will use indexing and aggregation pipelines for performance and analytics.
✓ They will integrate MongoDB with backend applications.
✓ They will understand real-world deployment, backup, and optimization strategies.
Requirements
● Basic programming knowledge in any language
● Understanding of databases is helpful but not required
● A computer with MongoDB installed
● Willingness to practice hands-on exercises
Description
MongoDB is one of the most widely used NoSQL databases powering modern web, mobile, and cloud applications. This course is designed to take you from MongoDB beginner to confident database professional by teaching both the fundamentals and advanced features used in real production systems.
You will begin by understanding how MongoDB differs from traditional relational databases and why it is used in modern application development. You will learn about databases, collections, documents, BSON structure, and MongoDB's flexible schema design. The course then dives deep into CRUD operations, allowing you to insert, query, update, and delete data efficiently.
As you progress, you will master indexing for high-performance queries, work with complex queries, sorting, filtering, and pagination. You will learn MongoDB's powerful Aggregation Framework to perform analytics-style operations on your data. The course also covers schema design strategies, relationships between collections, embedding vs referencing, and best practices for building scalable databases.
You will gain hands-on experience connecting MongoDB with backend applications, handling user authentication data, managing large datasets, and implementing real-world use cases. Backup and restore operations, performance tuning, and deployment concepts are also included.
By the end of this course, you will have the skills to design efficient MongoDB databases, optimize performance, and confidently use MongoDB in real projects, APIs, and enterprise-grade applications.
PyMongo with Python, MongoDB Shell, MongoDB Compass
Who this course is for
■ Backend and full-stack developers
■ Students learning databases and backend development
■ Python, Node.js, Java, or web developers
■ Software engineers building data-driven applications
■ Anyone who wants to master MongoDB
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