Elasticsearch Training in Russia

This Elasticsearch & Elastic Stack training is designed for professionals who want to build powerful search, analytics, and indexing solutions for Big Data environments. Participants will gain hands-on experience from installation to advanced querying, text analysis, distributed systems, and performance optimization.

• Basic database knowledge
• Understanding of search engines
• Basic Linux command knowledge

• Mid to senior software developers
• Data engineers
• Big Data specialists
• Technical architects
• System administrators

By the end of this course, you will:

• Understand Elastic Stack components
• Install and configure Elasticsearch
• Apply indexing and querying techniques
• Optimize search with text analysis and mappings
• Manage distributed clusters
• Debug and troubleshoot issues
• Use aggregations for data analytics
• Build real-world applications 

Elastic Stack Overview

• Elasticsearch, Logstash, Kibana, Beats
• Architecture
• Use cases

Installation & Setup

• Setup and configuration
• Node and cluster

Indexing & Querying

• Index structure
• CRUD operations
• Query DSL

Text Analysis & Mapping

• Analyzers and tokenizers
• Mapping strategies
• Search optimization

Distributed Model

• Sharding and replication
• Cluster management

Aggregations & Analytics

• Metrics and buckets
• Real-time analysis

Monitoring & Debugging

• Logs and troubleshooting
• Performance tuning

Elastic Stack Integration

• Logstash pipelines
• Kibana dashboards
• Beats data collection