Elasticsearch (EN)

Description

This course will teach you how to develop a search engine and master big data using Elasticsearch. You will learn how to store and retrieve data in Elasticsearch, how to use it for log processing and data visualization. During the course, each topic is practiced. Before the course, participants will receive materials in electronic form, so they can get back to the topics discussed at any time.

Target

Contents

• What is Elasticsearch
• Basic terminology
• Basic commands

• Data types, mapping
• Dynamic mapping
• Index templates
• Aliases and reindex API
• Bulk edit and delete operations
• Nested objects

• Query string
• Queries vs filters
• Request body search
• Term-level queries
• Compound queries
• Fulltext queries
• Inverted index
• Analyzers
• Custom analyzers
• Partial match (typos, suggesters), synonyms
• search results sorting, relevance

• Aggregations basics
• Bucket aggregations
• Metric aggregations
• Pipeline aggregations
• Visualization of aggregations using Kibana

• Scripting basics, painless syntax
• Scripted fields
• Using scripts for sorting
• Scripting in Kibana (scripted fields)

• Elastic Stack
• Data visualisation - Kibana
• Data collection - Logstash, Beats
• Configuration for production use, backup, monitoring

Prerequisites

Study Materials