MongoDB Training: Master the World of NoSQL Databases

Introduction to MongoDB

1. What is MongoDB?
2. Features and Advantages of MongoDB
3. Use Cases and Applications of MongoDB
4. MongoDB vs. Traditional Relational Databases

Getting Started with MongoDB

1. Installation and Setup of MongoDB
2. MongoDB Community Edition vs. MongoDB Atlas (Cloud)
3. Exploring MongoDB Shell (mongo) and Compass GUI
4. Connecting to MongoDB Server and Databases

MongoDB Data Modeling

1. Understanding Document-Oriented Data Model
2. Collections and Documents in MongoDB
3. Designing Schemas for MongoDB Collections
4. Choosing Embedded vs. Referenced Data Models

CRUD Operations in MongoDB

1. Creating Documents (Insert)
2. Retrieving Documents (Query and Find)
3. Updating Documents (Update)
4. Deleting Documents (Delete)

Querying MongoDB Data

1. Basic Query Operators (Comparison, Logical, Element)
2. Querying Nested Documents and Arrays
3. Projection and Field Selection
4. Sorting and Limiting Results

Indexes and Performance Optimization

1. Introduction to Indexes in MongoDB
2. Creating and Managing Indexes
3. Index Types (Single Field, Compound, Multikey)
4. Performance Optimization Techniques

Aggregation Framework in MongoDB

1. Introduction to Aggregation Pipeline
2. Aggregation Stages (Match, Group, Project, Sort, Limit)
3. Aggregation Operators and Expressions
4. Pipeline Optimization and Performance Considerations

Data Replication and High Availability

1. Replication Concepts in MongoDB
2. Replica Set Configuration and Deployment
3. Failover and Automatic Election of Primary Node
4. Monitoring Replica Set Health and Status

Sharding and Scalability

1. Scaling MongoDB with Sharding
2. Sharded Cluster Architecture and Components
3. Shard Key Selection Strategies
4. Adding and Removing Shards Dynamically

Security in MongoDB

1. Authentication and Authorization
2. Role-Based Access Control (RBAC)
3. Encryption at Rest and in Transit
4. MongoDB Security Best Practices

Backup and Disaster Recovery

1. Backup Strategies for MongoDB
2. Point-in-Time Recovery and Snapshotting
3. MongoDB Backup Tools (mongodump, mongorestore)
4. Disaster Recovery Planning and Procedures

MongoDB Atlas

1. Introduction to MongoDB Atlas
2. Creating and Managing Atlas Clusters
3. Atlas Security Features and Configuration
4. Migrating Data to MongoDB Atlas

Deployment and Operations

1. Production Deployment Considerations
2. Monitoring MongoDB Performance and Health
3. Diagnosing and Troubleshooting Common Issues
4. Capacity Planning and Resource Management

Advanced Topics in MongoDB

1. Transactions and ACID Compliance
2. Change Streams and Real-Time Data Processing
3. Time-Series Data Modeling with MongoDB
4. Geospatial Data and Queries in MongoDB

Best Practices and Optimization

1. Designing Efficient Data Models
2. Optimizing Queries and Indexes
3. Hardware Selection and Configuration
4. Performance Monitoring and Tuning

Case Studies and Practical Projects

1. Building a MongoDB-Powered Web Application
2. Implementing a Data Analytics Platform with MongoDB
3. Developing a Real-Time Chat Application
4. Optimizing MongoDB Performance in a Production Environment

Career Development in MongoDB

1. Roles and Responsibilities of MongoDB Professionals
2. Skills and Qualifications for MongoDB Roles
3. Certification Paths and Training Resources
4. Building a Portfolio of MongoDB Projects

Conclusion and Next Steps

1. Summary of Key Concepts Covered in the Course
2. Actionable Takeaways for Mastering MongoDB
3. Continuing Education and Professional Development Resources
4. Q&A and Open Discussion

MongoDB Atlas Global Clusters

1. Introduction to MongoDB Atlas Global Clusters
2. Configuring Multi-Region Replication
3. Geo-Redundancy and Disaster Recovery with Global Clusters
4. Best Practices for Deploying Global Clusters

Schema Design Patterns

1. Overview of Schema Design Patterns
2. Embedded vs. Referenced Data Models
3. One-to-One, One-to-Many, and Many-to-Many Relationships
4. Implementing Schema Design Patterns for Various Use Cases

MongoDB Performance Monitoring and Optimization Tools

1. MongoDB Performance Metrics and Monitoring Strategies
2. Using MongoDB Profiler to Analyze Query Performance
3. Exploring MongoDB Management Service (MMS) for Performance Monitoring
4. Third-Party Performance Optimization Tools and Services

Backup and Restore Strategies for MongoDB Atlas

1. Automated Backups in MongoDB Atlas
2. Configuring Backup Policies and Retention Periods
3. Restore Options in MongoDB Atlas
4. Disaster Recovery Planning with MongoDB Atlas Backups

MongoDB Stitch: Serverless Platform for MongoDB

1. Introduction to MongoDB Stitch
2. Creating Serverless Functions with MongoDB Stitch
3. Implementing Triggers and Rules for Real-Time Data Processing
4. Integrating MongoDB Stitch with Web and Mobile Applications

MongoDB Change Streams in Real-Time Applications

1. Introduction to Change Streams in MongoDB
2. Using Change Streams for Real-Time Data Sync
3. Building Event-Driven Applications with Change Streams
4. Monitoring and Managing Change Streams

Best Practices for MongoDB Performance Optimization

1. Analyzing and Optimizing Query Performance
2. Utilizing Indexes for Improved Performance
3. Capacity Planning and Sizing Guidelines
4. Performance Testing and Benchmarking MongoDB Deployments

MongoDB Security Best Practices

1. Implementing Role-Based Access Control (RBAC)
2. Encrypting Data at Rest and in Transit
3. Securing MongoDB Atlas Clusters
4. Auditing and Compliance Considerations for MongoDB Security

Advanced Aggregation Framework Techniques

1. Pipeline Optimization Strategies for Aggregation Queries
2. Using Lookup to Perform Joins between Collections
3. Working with Unwind and Group Operators
4. Aggregation Pipeline Examples for Complex Data Transformations

MongoDB Enterprise Features and Editions

1. Overview of MongoDB Enterprise Edition
2. Enterprise Security Features (LDAP, Kerberos, Auditing)
3. Advanced Analytics with MongoDB BI Connector
4. MongoDB Enterprise Server vs. Community Server

Real-World Case Studies and Best Practices

1. Building Highly Available and Scalable MongoDB Deployments
2. Implementing Data Governance and Compliance in MongoDB
3. Achieving Regulatory Compliance with MongoDB
4. Lessons Learned from Real-World MongoDB Projects