Elasticsearch Data Modeling & Query DSL Training
Take your Elasticsearch skills to the next level with this 2-day deep dive into advanced data modeling, query patterns, and aggregation techniques. Learn how to design efficient indices, write performant queries, tune relevance, and manage data lifecycles for production workloads.
Training Details
Section titled “Training Details”| Duration | 2 days (16 hours) |
| Level | Intermediate |
| Delivery | In-person, Live online, Hybrid |
| Certification | N/A |
Who Is This For?
Section titled “Who Is This For?”- Developers building advanced search features
- Data engineers optimizing Elasticsearch performance
- Architects designing search-heavy applications
- Anyone with basic Elasticsearch experience seeking deeper expertise
Learning Outcomes
Section titled “Learning Outcomes”After completing this training, you’ll be able to:
- Design efficient index mappings for complex use cases
- Write advanced Query DSL with nested, parent-child, and geo queries
- Build complex aggregation pipelines for analytics
- Tune search relevance with function_score and custom scoring
- Implement index lifecycle management and data retention
- Use index templates, component templates, and data streams
Detailed Agenda
Section titled “Detailed Agenda”Day 1: Advanced Data Modeling
Section titled “Day 1: Advanced Data Modeling”Module 1: Schema Design Patterns
- Denormalization vs normalization tradeoffs
- Nested objects and nested queries
- Parent-child (join) relationships
- Flattened fields and runtime fields
- Hands-on: Model a complex e-commerce catalog
Module 2: Advanced Mappings
- Multi-fields for different analysis strategies
- Custom analyzers for language-specific search
- Geospatial mappings and geo queries
- Index templates and component templates
- Hands-on: Build multi-language search with custom analyzers
Module 3: Index Lifecycle Management
- ILM policies — hot, warm, cold, frozen, delete
- Data streams for time-series data
- Rollover and shrink operations
- Index aliases and filtered aliases
- Hands-on: Implement ILM for log data retention
Day 2: Advanced Queries and Aggregations
Section titled “Day 2: Advanced Queries and Aggregations”Module 4: Advanced Query DSL
- Nested and has_child/has_parent queries
- Percolate queries for alerting
- Search templates and stored scripts
- Highlighting and suggesters (term, phrase, completion)
- Hands-on: Build an autocomplete search with highlighting
Module 5: Relevance Tuning
- BM25 scoring and similarity modules
- Function score queries — weight, field_value_factor, decay
- Boosting and index-time boosting
- Explain API for score debugging
- Hands-on: Tune search relevance for a product search engine
Module 6: Complex Aggregations
- Pipeline aggregations — moving_avg, derivative, cumulative_sum
- Significant terms and anomaly detection
- Composite aggregations for pagination
- Transform jobs for pre-computed aggregations
- Hands-on: Build an analytics pipeline with pipeline aggregations
What’s Included
Section titled “What’s Included”- Access to hands-on lab environments
- Course slides and reference materials
- Sample datasets and query templates
- Post-training email support (30 days)
Request This Training
Section titled “Request This Training”Ready to bring advanced Elasticsearch training to your team? Contact me to discuss dates, group size, and customization options.