Elasticsearch 9 Masterclass For Java Spring Developers | Udemy [Update 11/2025]
English | Size: 4.61 GB
Genre: eLearning[/center]

Master Full-Text Search, Fuzzy Match, Powerful Aggregations and Robust Search Engine Architecture From Scratch.

What you'll learn
Core Elasticsearch Concepts - Indexing, sharding, replication, and distributed search
Full-Text Search & Relevance Tuning - BM25, tokenization, stemming, and boosting
Aggregations - Bucket, metric, range and historgram aggregations
Data Modeling - Mappings, analyzers, and custom tokenizers
Bulk Indexing & Query Optimization - Handling millions of documents efficiently
Autocomplete & Search Suggestions - Implementing completion suggesters and search as you type
Spring Boot Integration - Implement Elasticsearch-powered search in Java applications
Security & Scaling - Authentication, SSL/TLS

This course is up to date with latest Elasticsearch version 9.

Elasticsearch 9 Masterclass: Building Powerful Search Engine with Java & Spring Boot.

Note: This is NOT a logging/monitoring/analytics course.

As part of this course, we will learn the power of Elasticsearch 8 and build blazing fast, intelligent search solutions! This comprehensive, hands-on course is designed for Java/Spring Boot developers who want to master full-text search, fuzzy matching, powerful aggregations and robust search engine architecture from the fundamentals to advanced topics.

Why Learn Elasticsearch?

Power Modern Applications - Build scalable and intelligent search solutions for e-commerce, enterprise applications, and more.

Unlock Career Growth - Advance your skills and open doors to high-demand roles like Staff and Principal Engineer.

Effortless Scaling - Handle massive datasets and deliver lightning-fast search results.

What You will Learn:

Core Concepts - Grasp essential Elasticsearch concepts like indexing, sharding, replication, and distributed search. How it works behind the scenes with concepts like Inverted Index & Segments.

Full-Text Search Mastery - Master full-text search techniques, including BM25, tokenization, stemming, and boosting for optimal relevance.

Aggregations - Uncover valuable insights with bucket, metric, range, and histogram aggregations.

Data Modeling Excellence: Design efficient and effective data models using mappings, analyzers, and custom tokenizers.

High-Performance Techniques: Optimize indexing and query performance to handle millions of documents efficiently.

Autocomplete & Search Suggestions: Implement real-time search suggestions with completion suggesters and search-as-you-type features.

Spring Boot Integration: Seamlessly integrate Elasticsearch into your Java applications using Spring Boot.

Security & Scalability: Ensure secure and scalable search solutions with authentication, TLS, and best practices.

Hands-On Project

Apply your knowledge by building a Real World Search Engine with 5 Millions Documents using Spring Boot & Elasticsearch-with features like Auto Complete, Filtering & Providing Relevant Search Results.

By the end of this course, you will be confidently designing and deploying large scale, high performance search engines for real-world applications.

Start your Elasticsearch mastery today!

Who this course is for:
Software Developers, Software Architects

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