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!
