Elasticsearch Fundamentals Training
Start your search and analytics journey with this comprehensive 2-day introduction to Elasticsearch. Learn core concepts, indexing, search queries, mappings, analyzers, and basic cluster operations — everything you need to build powerful search experiences.
Training Details
Section titled “Training Details”| Duration | 2 days (16 hours) |
| Level | Beginner |
| Delivery | In-person, Live online, Hybrid |
| Certification | N/A |
Who Is This For?
Section titled “Who Is This For?”- Developers building search functionality into applications
- Data engineers setting up analytics pipelines
- System administrators new to the Elastic Stack
- Anyone new to Elasticsearch and full-text search
Learning Outcomes
Section titled “Learning Outcomes”After completing this training, you’ll be able to:
- Understand Elasticsearch architecture and core concepts
- Index, update, and delete documents
- Write effective search queries using the Query DSL
- Design index mappings and custom analyzers
- Use aggregations for data analytics
- Perform basic cluster administration and monitoring
Detailed Agenda
Section titled “Detailed Agenda”Day 1: Core Concepts and Indexing
Section titled “Day 1: Core Concepts and Indexing”Module 1: Introduction to Elasticsearch
- What is Elasticsearch and the Elastic Stack
- Architecture — nodes, indices, shards, replicas
- Installing Elasticsearch and Kibana
- Hands-on: Set up a local cluster and explore Kibana Dev Tools
Module 2: Indexing Documents
- Document structure and JSON data model
- CRUD operations — index, get, update, delete
- Bulk API for efficient data loading
- Hands-on: Index sample datasets and perform CRUD operations
Module 3: Mappings and Analyzers
- Dynamic vs explicit mappings
- Field types — text, keyword, numeric, date, geo
- Text analysis — tokenizers, filters, custom analyzers
- Hands-on: Design mappings for a product catalog
Day 2: Search and Aggregations
Section titled “Day 2: Search and Aggregations”Module 4: Search Queries
- Full-text queries — match, multi_match, query_string
- Term-level queries — term, range, exists, wildcard
- Compound queries — bool (must, should, filter, must_not)
- Hands-on: Build search queries for real-world scenarios
Module 5: Aggregations
- Metric aggregations — avg, sum, min, max, cardinality
- Bucket aggregations — terms, date_histogram, range
- Nested and pipeline aggregations
- Hands-on: Build analytics dashboards with aggregation queries
Module 6: Cluster Basics
- Node roles and cluster health
- Index settings and aliases
- Snapshot and restore basics
- Hands-on: Monitor cluster health and manage indices
What’s Included
Section titled “What’s Included”- Access to hands-on lab environments
- Course slides and reference materials
- Sample datasets and query examples
- Post-training email support (30 days)
Request This Training
Section titled “Request This Training”Ready to bring Elasticsearch training to your team? Contact me to discuss dates, group size, and customization options.