рд╡рд┐рдиреЛрдж рдмрд╣рд╛рджреБрд░ рдерд╛рдкрд╛ - Complete MongoDB Course in Hindi
Introduction
- рд╕реНрд╡рд╛рдЧрдд рд╣реИ рдореИрдВрдЧреЛ рдбреАрдмреА рдХреЗ рдХреЛрд░реНрд╕ рдореЗрдВ рдЬреЛ рдХрд┐ рд╕рдмрд╕реЗ рдмреЗрд╣рддрд░реАрди рдХ реЛрд░реНрд╕ рд╣реЛрдиреЗ рдЬрд╛ рд░рд╣рд╛ рд╣реИ
- рдпрд╣ рд╕рддреНрд░ MongoDB рдХрд╛ рд╕рдВрдкреВрд░реНрдг рдкрд░рд┐рдЪрдп рджреЗрдЧрд╛ рдФрд░ рдЖрдкрдХреЛ рдЗрд╕рдХреА рд╡рд┐рднрд┐рдиреНрди рд╡рд┐рд╢реЗрд╖рддрд╛рдУрдВ рдХреЗ рдмрд╛рд░реЗ рдореЗрдВ рд╕рд┐рдЦрд╛рдПрдЧрд╛
- рдХреЛрд░реНрд╕ рдХреЛ рддреАрди рднрд╛рдЧреЛрдВ рдореЗрдВ рдмрд╛рдВрдЯрд╛ рдЧрдпрд╛ рд╣реИ: рдмреЗрд╕рд┐рдХ, рдПрдбрд╡рд╛рдВрд╕, рдФрд░ рдкреНрд░реЛрдЬреЗрдХреНрдЯ
Basic Topics
Introduction to MongoDB
- MongoDB рдПрдХ рдУрдкрди-рд╕реЛрд░реНрд╕, рдбреЙрдХреНрдпреВрдореЗрдВрдЯ-рдУрд░рд┐рдПрдВрдЯреЗрдб, NoSQL рдбреЗрдЯрд╛рдмреЗрд╕ рдореИрдиреЗрдЬрдореЗрдВрдЯ рд╕рд┐рд╕реНрдЯрдо рд╣реИ
- Document-Oriented NoSQL рдХрд╛ рдорддрд▓рдм рд╣реИ рдпрд╣ рдЬрд╛рдирдХрд╛рд░реА рдХреЛ JSON рджрд╕реНрддрд╛рд╡реЗрдЬрд╝реЛрдВ рдХреЗ рд░реВрдк рдореЗрдВ рд╕рдВрдЧреНрд░рд╣рд┐рдд рдХрд░рддрд╛ рд╣реИ
- рдпрд╣ рдПрдХ рдмреЗрд╣рдж рдлреНрд▓реЗрдХреНрд╕рд┐рдмрд▓ рдФрд░ рдкрд░рдлреЙрд░реНрдореЗрдВрд╕-рдУрд░рд┐рдПрдВрдЯреЗрдб рд╕рд┐рд╕реНрдЯрдо рд╣реИ рдЬреЛ рдЕрдирд╕реНрдЯреНрд░рдХреНрдЪрд░реНрдб рдФрд░ рд╕реЗрдореА-рд╕реНрдЯреНрд░рдХреНрдЪрд░реНрдб рдбреЗрдЯрд╛ рдХреЛ рд╕рдВрднрд╛рд▓рдиреЗ рдХреЗ рд▓рд┐рдП рдбрд┐рдЬрд╝рд╛рдЗрди рдХрд┐рдпрд╛ рдЧрдпрд╛ рд╣реИ
Differences between SQL and NoSQL
- SQL: Structured, Fixed Schema, Suitable for Static Applications
- NoSQL (MongoDB): Document-Based, Dynamic Schema, Suitable for Dynamic and Evolving Data Models
- SQL Examples: MySQL, PostgreSQL
- NoSQL Examples: MongoDB, Redis
Core Operations (CRUD)
- Insert: DB.collection.insertOne(), insertMany()
- Find: DB.collection.find()
- Update: DB.collection.updateOne(), updateMany()
- Delete: DB.collection.deleteOne(), deleteMany()
Comparison Operators
- Equal, Not Equal, Greater Than, Less Than, In Operator
- Use within find queries to filter data as per condition
Aggregation Framework
- Aggregation is used for more complex data manipulations
- Consists of pipeline stages such as $match, $group, $project, etc.
- Used for operations like filtering, grouping, and transforming data
Indexes
- Used to optimize query performance
- Indexing helps in faster data retrieval and efficient sorting
- Create, delete, and manage indexes
MongoDB Atlas
- A fully managed cloud-based database service
- Allows easy deployment, management, and scaling of MongoDB clusters in the cloud
- Automated scaling options, supports global clusters
Advanced Topics
Working with MongoDB in Code
- Using MongoDB Driver and Mongoose with Node.js for database operations
- Establish connections, perform CRUD operations within a Node.js application
MongoDB Compass and Atlas
- GUI tool for interacting with MongoDB
- Allows importing/exporting data, performing queries, and managing indexes
Project: E-commerce Website
- Creating a complete E-commerce website backend using Node.js, Express.js, and MongoDB
- Setting up connections using MongoDB Atlas for cloud storage
Summary and Conclusion
- MongoDB is a powerful and flexible NoSQL database system
- The course covers everything from basic CRUD operations to advanced aggregation and indexing
- The practical examples and the real-world project give hands-on experience in managing MongoDB databases
Additional Resources
- MongoDB Documentation
- Community forums and support channels
- Online tutorials and example repositories for further study and practice
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