Home>Courses>Elasticsearch Fundamentals: Indexing and Querying Data

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

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

29 Playgrounds

5 Quizzes

Course Overview

What You'll Learn

Course Content

Recommendations

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

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

Course Content

Introduction to Elasticsearch

2 Lessons

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

Elasticsearch

What Is Elastic Stack?

Getting started on Elasticsearch

7 Lessons

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

Architecture of Elasticsearch

Interacting with Elasticsearch

CRUD Operations

Mapping

Keyword vs. Text Data Type

Scripting and Runtime Fields

Quiz: Getting Started with Elasticsearch

Text Analysis

10 Lessons

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

What Is Text Analysis?

Analyzers in Elasticsearch

Custom Analyzers

Custom Analyzers: Character filters

Custom Analyzer: Tokenizers

Custom Analyzers: Token Filters

Built-In Analyzers

Challenges: Analyzers

Solutions: Analyzers

Quiz: Text Analysis

Search on ElasticSearch

12 Lessons

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

Introduction to Search Request

Full-Text Queries: Match Query

Full-Text Queries: Match Query Parameters

Full-Text Query: Exploring More Queries

Term-Level Queries: Term Query

Term-Level Queries: Range Query

Term-Level Queries: Exploring More Queries

Fuzzy Search

Compound Queries: Boolean Query

Challenge: Search on Elasticsearch

Solution: Search on Elasticsearch

Quiz: Search on Elasticsearch

Aggregation

9 Lessons

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

Introduction to Aggregation

Bucket Aggregation

Metric aggregation

Combining Bucket and Metrics Aggregation

Pipeline Aggregations

Nested Bucket Aggregations

Challenge: Aggregations

Solution: Aggregation

Quiz: Aggregation

Conclusion

1 Lessons

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

Wrap Up and Next Steps

Course Author

Mohammed Alzawawi

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