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#0
Learn Elasticsearch - Pre-Requisites Skills & Environment Setup
Before running Elasticsearch for the first time, there is a foundation to prepare: basic database, JSON, HTTP/REST, and CLI skills, along with choosing the software tools (JDK, Elasticsearch, Kibana) as well as adequate minimum hardware.
August 3, 2026
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#1
Learn Elasticsearch - History, Background & Why You Need Elasticsearch
From grep and SQL LIKE to a full-text search engine: the history of Apache Lucene, Elasticsearch's journey from 2010 to the Elastic Stack, the problems it solves, as well as comparisons with RDBMS, Apache Solr, and Algolia.
August 3, 2026
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#2
Learn Elasticsearch - Core Concepts & Main Architecture
Dissecting the Elasticsearch architecture: JSON documents, indexes, inverted index, sharding and replication, the roles of master/data/ingest/coordinating nodes, the indexing and search lifecycle, relevance scoring, as well as the CAP theorem and eventual consistency trade-offs.
August 3, 2026
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#3
Learn Elasticsearch - Installation & First Steps with Elasticsearch
Installing Elasticsearch 8.x via package manager, archive, Docker, or Elastic Cloud; starting and stopping the service, accessing the REST API, checking cluster health, understanding JSON responses, and getting to know Dev Tools in Kibana.
August 3, 2026
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#4
Learn Elasticsearch - Index Management & Document Operations (CRUD)
Creating and managing indexes with settings and mappings, dynamic vs explicit mapping, index templates and aliases, then document CRUD operations: index, get, update, delete, up to the bulk API, routing, and versioning.
August 3, 2026
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#5
Learn Elasticsearch - Mapping & Data Types
Understanding mapping: dynamic vs explicit, mapping parameters like analyzer and index; core data types (text vs keyword, numeric, date, boolean, range); as well as complex types (object, nested, geo, IP, join) with the risk of mapping explosion.
August 3, 2026
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#6
Learn Elasticsearch - Search Fundamentals - Query DSL Basics
Query DSL fundamentals: URI search vs request body, the difference between query context and filter context, filtering _source, pagination with from/size and search_after, and the basic queries: match, term, match_phrase, multi_match, query_string, exists, and range.
August 3, 2026
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#7
Learn Elasticsearch - Text Analysis & Analyzers
The layer beneath the query: character filters, tokenizers, and token filters; built-in analyzers, custom analyzers, testing with the _analyze API, normalizers, n-gram, and the use cases of autocomplete, case-insensitive search, stemming, and synonyms.
August 3, 2026
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#8
Learn Elasticsearch - Advanced Search - Compound & Boolean Queries
Composing complex searches: the bool query with must, should, must_not, and filter; boosting query, constant_score, dis_max; filter caching and strategies for using filter vs query for optimal performance.
August 3, 2026
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#9
Learn Elasticsearch - Aggregations - Analytics & Data Summarization
Turning data into insight: metrics aggregations (sum, avg, stats, cardinality, percentiles), bucket aggregations (terms, histogram, date_histogram, range, nested), and pipeline aggregations (moving average, derivative, cumulative sum) with bucket sorting.
August 3, 2026
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