MongoDB Data Modeling Training

Deepen your MongoDB expertise with this 2-day advanced course on data modeling patterns and aggregation techniques. Learn production-grade schema design, complex aggregation pipelines, multi-document transactions, change streams, and Atlas Search integration.

Training Details

Duration	2 days (16 hours)
Level	Intermediate
Delivery	In-person, Live online, Hybrid
Certification	N/A

Who Is This For?

• Developers designing complex MongoDB schemas
• Data engineers building aggregation pipelines
• Architects making data modeling decisions
• Anyone seeking advanced MongoDB development skills

Learning Outcomes

After completing this training, participants will be able to:

• Apply advanced schema design patterns (bucket, polymorphic, computed, outlier)
• Build complex aggregation pipelines with window functions
• Use multi-document transactions for data consistency
• Implement change streams for real-time event processing
• Integrate Atlas Search for full-text search capabilities
• Optimize data models for read and write performance

Detailed Agenda

Day 1: Advanced Data Modeling

Module 1: Schema Design Patterns

• Attribute pattern for polymorphic fields
• Bucket pattern for time-series data
• Computed pattern for pre-aggregated data
• Outlier pattern for hot documents
• Hands-on: Refactor schemas using advanced patterns

Module 2: Relationships and References

• Extended reference pattern
• Subset pattern for large documents
• Tree structures — materialized paths, nested sets
• Schema versioning and migration strategies
• Hands-on: Model a hierarchical product catalog

Module 3: Transactions and Consistency

• Multi-document ACID transactions
• Read and write concerns
• Causal consistency sessions
• Transaction best practices and limitations
• Hands-on: Implement a transactional order workflow

Day 2: Advanced Aggregation

Module 4: Complex Aggregation Pipelines

• $facet for multi-faceted search results
• $graphLookup for recursive lookups
• $merge and $out for materialized views
• Accumulator expressions and custom operators
• Hands-on: Build a multi-faceted product search

Module 5: Window Functions and Analytics

• $setWindowFields for running calculations
• Rank, dense_rank, and row number
• Moving averages and cumulative sums
• Time-series analysis with window functions
• Hands-on: Build financial analytics dashboards

Module 6: Change Streams and Real-Time

• Change stream architecture and resume tokens
• Filtering and transforming change events
• Building real-time notifications
• Atlas Search — indexes, analyzers, and scoring
• Hands-on: Build a real-time activity feed with change streams

What's Included

• Access to hands-on lab environments
• Course slides and reference materials
• Schema design templates and aggregation examples
• Post-training email support (30 days)

Request This Training

Ready to bring advanced MongoDB training to your team? [Contact me](/contact) to discuss dates, group size, and customization options.