Course Duration: Approximately 10-12 weeks (adjustable)
Target Audience: Developers, Database Administrators, Data Engineers, and anyone interested in NoSQL databases.
Prerequisites: Basic knowledge of databases and programming (preferably in a language like JavaScript or Python).
Week 1-2
- Lesson 1.1: What is MongoDB?
- Lesson 1.2: NoSQL vs. SQL databases
- Lesson 1.3: Advantages of MongoDB
- Lesson 1.4: Installation and setup
Week 3-4
- Lesson 2.1: Document-oriented data
- Lesson 2.2: Schemas in MongoDB
- Lesson 2.3: Data types and structure
- Lesson 2.4: Embedding and referencing data
Week 5-6
- Lesson 3.1: Creating databases and collections
- Lesson 3.2: Inserting documents
- Lesson 3.3: Querying documents
- Lesson 3.4: Updating and deleting documents
Week 7-8
- Lesson 4.1: Understanding indexing
- Lesson 4.2: Creating and managing indexes
- Lesson 4.3: Query performance optimization
- Lesson 4.4: Using the Aggregation Framework
Week 9-10
- Lesson 5.1: Replication and redundancy
- Lesson 5.2: Setting up replica sets
- Lesson 5.3: Data consistency and failover
- Lesson 5.4: Sharding and horizontal scaling
Week 11-12
- Lesson 6.1: Authentication and authorization
- Lesson 6.2: Security considerations
- Lesson 6.3: Backup and disaster recovery
- Lesson 6.4: Best practices for using MongoDB
- Lesson 7.1: Geospatial data in MongoDB
- Lesson 7.2: Time-series data with MongoDB
- Lesson 7.3: Full-text search
- Lesson 7.4: Using MongoDB with popular programming languages (e.g., Python, Node.js)
Throughout the course, incorporate quizzes, assignments, and a final project where students can apply their knowledge to real-world scenarios.
- Provide students with recommended books, online documentation, and community forums for further learning and support.