MongoDB Course

Introduction to MongoDB

• Overview of MongoDB and its features

• Comparison of SQL and NoSQL databases

• Installation and setup of MongoDB

MongoDB Data Modeling

• Document-oriented data model

• Designing schemas and collections

• Embedded documents and referencing

• Data modeling best practices

CRUD Operations in MongoDB

• Inserting documents

• Querying documents using the MongoDB Query Language (MQL)

• Updating and deleting documents

• Working with arrays and sub-document

Indexing and Query Optimization

• Indexing concepts and types in MongoDB

• Creating and managing indexes

• Query optimization techniques

• Understanding explain() and query profiling

Aggregation Framework

• Overview of the MongoDB Aggregation Framework

• Pipeline stages and operators

• Grouping, sorting, and projecting data

• Aggregation pipeline optimization

Data Replication and Sharding

• Replication in MongoDB (Primary-Secondary architecture)

• Configuring replica sets and synchronization

• Sharding concepts and architecture

• Scaling horizontally with sharded clusters
  

MongoDB Security

• User authentication and authorization

• Role-based access control (RBAC)

• Encryption and SSL/TLS for secure communication

• Security best practices and common vulnerabilities

Backup and Recovery

• Backup strategies and methods

• Point-in-time recovery and snapshots

• Configuring and managing backups

• Data migration and import/export operations

MongoDB and Programming Languages

• MongoDB drivers and libraries for different programming languages (e.g., Node.js, Python, Java)

• CRUD operations with programming languages

• Working with MongoDB using an Object-Document Mapper (ODM)
  

MongoDB and Cloud Services

• Overview of MongoDB Atlas (MongoDB's cloud database service)

• Deploying and managing MongoDB on the cloud

• Integration with cloud platforms (e.g., AWS, Azure)

Performance Monitoring and Optimization

• Monitoring MongoDB performance metrics

• Profiling and analyzing slow queries

• Performance optimization techniques

• Caching and data modeling for performance

MongoDB and Big Data Integration

• Integrating MongoDB with Apache Hadoop and Apache Spark

• Performing analytics on MongoDB data

• Real-time stream processing with MongoDB and Apache Kafka