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Elasticsearch Fundamentals: Indexing and Querying Data

Name: Elasticsearch Fundamentals: Indexing and Querying Data
Price: 59 USD
Rating: 4.69 (33 reviews)
Author: Mohammed Alzawawi

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.

4.7

41 lessons

1 project

10h

Created by Mohammed Alzawawi

Elasticsearch Fundamentals: Indexing and Querying Data

What's included

41 lessons across 6 modules
5 quizzes with instant feedback
1 project in preconfigured environments
AI Tutor on every lesson

Join 3.1 million developers at

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

Learning Roadmap

41 Lessons5 Quizzes

Introduction to Elasticsearch

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

Elasticsearch

What Is Elastic Stack?

Getting started on Elasticsearch

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.

Search on ElasticSearch

12 Lessons

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

Aggregation

9 Lessons

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

Conclusion

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

Wrap Up and Next Steps

Integrate Elasticsearch in the Ruby on Rails Application

Project

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

About this course

WHY I WROTE THIS COURSE

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 and storing data within the Elasticsearch framework. You will progress to learn how to execute various types of queries, including fuzzy queries, and explore the intricacies of each operation and how it is implemented within Elasticsearch. After completing the course, you’ll have gained a comprehensive understanding of the internal mechanisms of Elasticsearch and developed the skills to effectively use it for your data management and analysis requirements.

ABOUT THE AUTHOR

Mohammed Alzawawi

Seasoned software engineer with 4 years of experience, now a Senior Backend Engineer at Wiley. Formerly at Amazon for 3 years, I've embraced competitive programming since university. Passionate about Java, Microservices, and Databases.

Learn more about Mohammed

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