MongoDB Training
Programming and Databases
COURSE OVERVIEW
This intensive 3-day training program provides participants with a comprehensive understanding of MongoDB, from foundational NoSQL concepts to advanced enterprise deployment, scaling, and real-time data integration. The course is designed for database administrators, backend developers, software engineers, DevOps professionals, and solution architects who want to build modern, scalable, and high-performance applications using MongoDB.
Participants will learn core MongoDB architecture, CRUD operations, schema design, indexing, aggregation pipelines, transactions, and security best practices. The training also covers advanced topics such as replication, sharding, performance optimization, cloud deployment, microservices integration, and real-time streaming with Apache Kafka.
Hands-on exercises and practical examples will enable participants to design efficient document models, optimize database performance, implement secure deployments, and integrate MongoDB into distributed enterprise architectures.
By the end of the program, participants will be equipped with the technical skills required to develop, manage, scale, and integrate MongoDB in modern production environments.
Duration: 3 Hours / 3 Days
Delivery Method: Classroom-Based or Virtual Instructor-Led Training (VILT)
Learning Objectives
By the end of this training, participants will be able to:
- Understand the differences between relational databases and NoSQL databases
- Explain NoSQL concepts, CAP theorem, and document database principles
- Understand MongoDB architecture including databases, collections, documents, BSON, and ObjectId structures
- Install and configure MongoDB server and related tools such as Mongo Shell and MongoDB Compass
- Perform CRUD (Create, Read, Update, Delete) operations efficiently
- Execute queries using filters, operators, sorting, pagination, and logical conditions
- Design effective MongoDB schemas using embedding, referencing, and denormalization techniques
- Apply schema validation and understand BSON data types and document standards
- Implement advanced querying techniques for arrays, nested documents, and complex filtering
- Design and optimize indexes including compound, text, and TTL indexes
- Build aggregation pipelines for data transformation, grouping, and analytics
- Understand MongoDB transaction mechanisms, consistency models, write concerns, and read concerns
- Develop MongoDB applications using Python and PyMongo
- Analyze query performance using explain plans and optimization techniques
- Apply MongoDB security best practices including authentication, authorization, encryption, and role-based access control
- Understand MongoDB replication architecture, replica sets, elections, and failover handling
- Implement horizontal scaling strategies using MongoDB sharding
- Utilize MongoDB Change Streams for real-time event-driven applications
- Integrate MongoDB with Apache Kafka using source and sink connectors
- Design MongoDB architectures for microservices and distributed systems
- Deploy and manage MongoDB in cloud and containerized environments
- Apply enterprise best practices for high availability, disaster recovery, monitoring, observability, and scalability planning
COURSE OUTLINE
Day 1 — MongoDB Fundamentals & Data Modeling
· Module 1: Introduction to NoSQL
o SQL vs NoSQL
o CAP theorem
o Types of NoSQL databases
o Document database concepts
· Module 2: MongoDB Architecture
o Database
o Collection
o Document
o BSON format
o ObjectId structure
· Module 3: MongoDB Installation & Environment
o MongoDB server setup
o Mongo Shell
o MongoDB Compass
o Configuration basics
· Module 4: CRUD Operations
o Insert operations
o Read operations
o Update operations
o Delete operations
o Bulk operations
· Module 5: MongoDB Query Language
o Filters
o Operators
o Logical queries
o Sorting
o Pagination
· Module 6: Schema Design Principles
o Embedding
o Referencing
o One-to-many relationships
o Denormalization
o Schema evolution
· Module 7: MongoDB Data Types & Validation
o BSON data types
o Schema validation
o Document structure standards
o Validation rules
Day 2— MongoDB Advanced Development
· Module 1: Advanced Querying
o Query optimization
o Projection
o Array queries
o Nested document queries
o Complex filtering
· Module 2: Indexing Internals
o Single-field indexes
o Compound indexes
o Text indexes
o TTL indexes
o Index optimization
· Module 3: Aggregation Framework
o Aggregation pipeline
o Data transformation
o Grouping
o Projection stages
o Pipeline optimization
· Module 4: Transactions & Consistency
o ACID transactions
o Multi-document transactions
o Consistency models
o Write concerns
o Read concerns
· Module 5: MongoDB with Python
o PyMongo architecture
o Database connectivity
o CRUD through Python
o Query execution
o Connection pooling
· Module 6: Performance Optimization
o Query execution analysis
o Explain plans
o Memory optimization
o Index tuning
o Query patterns
· Module 7: MongoDB Security
o Authentication
o Authorization
o Role-based access
o Encryption concepts
o Secure deployment
Day 3 — MongoDB Scaling, Replication & Kafka Integration
· Module 1: Replication Architecture
o Replica sets
o Primary-secondary model
o Election process
o Failover handling
o Replication internals
· Module 2: MongoDB Sharding
o Horizontal scaling
o Shard keys
o Config servers
o Query routing
o Cluster balancing
· Module 3: Change Streams
o Real-time database events
o CDC concepts
o Event publishing
o Reactive systems
o Streaming integration
· Module 4: MongoDB & Kafka Integration
o Kafka Connect architecture
o Sink connectors
o Source connectors
o Event-driven persistence
o Streaming storage patterns
· Module 5: MongoDB in Microservices
o Service isolation
o Distributed data patterns
o Event sourcing
o CQRS concepts
o Polyglot persistence
· Module 6: Cloud & DevOps Concepts
o MongoDB Atlas
o Container deployment
o Backup strategies
o Monitoring
o Observability
· Module 7: Production Architecture & Best Practices
o High availability design
o Scalability planning
o Disaster recovery
o Capacity planning
o Enterprise architecture patterns
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