Introduction to MongoDB

• Overview of MongoDB and its key features
• Understanding NoSQL databases and their advantages
• Comparing MongoDB with traditional SQL databases

MongoDB Data Model

• Understanding the document-oriented data model
• Collections, documents, and fields in MongoDB
• Document schema design and best practices

CRUD Operations in MongoDB

• Creating, reading, updating, and deleting documents in MongoDB
• Using the MongoDB Shell for executing CRUD operations
• Querying documents using various operators and query modifiers

Indexing and Query Optimization

• Understanding the importance of indexing in MongoDB
• Creating and managing indexes for efficient queries
• Query profiling and optimization techniques

Aggregation Framework

• Introduction to MongoDB's Aggregation Framework
• Performing advanced data aggregations and transformations
• Utilizing pipeline stages, operators, and expressions

Data Modeling in MongoDB

• Designing efficient data models for different use cases
• Embedded documents and document references
• Schema design patterns and trade-offs

MongoDB Atlas and Deployment

• Overview of MongoDB Atlas, the managed MongoDB service
• Deploying and managing MongoDB clusters
• Configuring security and high availability

Replication and High Availability

• Understanding MongoDB replication and replica sets
• Setting up and configuring replica sets
• Managing failover and handling replication lag

Sharding and Scalability

• Scaling MongoDB using sharding
• Configuring and managing sharded clusters
• Handling data distribution and rebalancing

Security and Authentication

• Configuring access control and user authentication
• Enabling encryption in transit and at rest
• Implementing role-based access control (RBAC)

MongoDB Aggregation Pipeline

• Advanced data aggregation and transformation using the pipeline
• Utilizing different stages, operators, and expressions
• Aggregating data across multiple collections

Geospatial Data and Indexing

• Storing and querying geospatial data in MongoDB
• Using geospatial indexes and performing spatial queries
• Geospatial data modeling and best practices

Data Backup and Recovery

• Implementing backup and restore strategies
• Utilizing MongoDB's backup and restore tools
• Point-in-time recovery and disaster recovery

MongoDB Performance and Optimization

• Monitoring and optimizing MongoDB performance
• Analyzing database and query performance
• Utilizing performance tuning techniques