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
Requirements
Docker

Java
Spring Boot
Description
Elasticsearch 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 ProjectApply 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!
Software Developers, Software Architects