Elasticsearch Fundamentals: Indexing and Querying Data

Discover Elasticsearch’s architecture and capabilities. Learn about indexing and storing data, conducting precise queries, including fuzzy searches, and executing real-time data analysis effectively.

Intermediate

41 Lessons

10h

Certificate of Completion

Discover Elasticsearch’s architecture and capabilities. Learn about indexing and storing data, conducting precise queries, including fuzzy searches, and executing real-time data analysis effectively.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

29 Playgrounds
5 Quizzes

This course includes

29 Playgrounds
5 Quizzes

Course Overview

This course explores Elasticsearch, an open-source, Java-based, full-text search and analytics engine that harnesses the power of the Lucene library. You’ll discover its capabilities as a versatile search engine for business data, offering the ability to store information, conduct searches on accurate and typo-ridden text, and perform real-time data analysis on vast datasets. Throughout this course, you will gain comprehensive insights into the architecture of Elasticsearch and master the art of indexing a...Show More

What You'll Learn

An understanding of Elasticsearch’s core data structures, such as inverted index, and how to effectively index and query data

Familiarity with Elasticsearch’s powerful search capabilities, including full-text, faceted, and fuzzy search

In-depth knowledge of Elasticsearch’s aggregation and analytics features, including how to extract insights from large datasets

An understanding of text analysis and how Elasticsearch uses analyzers to achieve accurate search results

In-depth knowledge of how Elasticsearch indexes and performs search operations

What You'll Learn

An understanding of Elasticsearch’s core data structures, such as inverted index, and how to effectively index and query data

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Course Content

1.

Introduction to Elasticsearch

Get familiar with Elasticsearch, a powerful search engine, and the Elastic Stack suite.
2.

Getting started on Elasticsearch

Look at Elasticsearch architecture, interactions, CRUD operations, mapping, data types, and scripting for efficient data handling.
3.

Text Analysis

Examine text analysis techniques in Elasticsearch, including analyzers, custom configurations, and practical challenges.
4.

Search on ElasticSearch

Grasp the fundamentals of Elasticsearch search features with various query types and practical challenges.
5.

Aggregation

Map out the steps for performing and combining various aggregations to analyze data efficiently.
6.

Conclusion

1 Lesson

Congratulate and encourage real-world application and further exploration of Elasticsearch tools.

Integrate Elasticsearch in the Ruby on Rails Application

Project

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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