Mastering Elasticsearch with Spring Boot | Full-Text Search

Ideal for full-stack Java developers diving into Elastic Search with real-world projects.

What you'll learn
- Understand Elasticsearch Architecture — Master core concepts like nodes, clusters, shards, and indices.
- Index & Search Data Efficiently — Learn how to create indices, map fields, and execute full-text searches.
- Integrate Elasticsearch with Spring Boot — Build real-world REST APIs that connect to Elasticsearch clusters.
- Work with Queries & Filters — Use match, term, range, and bool queries effectively.
- Perform Powerful Aggregations — Generate analytics using metrics, buckets, and nested aggregations.
- Implement Fuzzy Search & Autocomplete — Enhance user experience with smart, fault-tolerant searches.

Requirements
- Basic programming knowledge (in any language) is sufficient.
- Familiarity with Java or Spring Boot is a plus, but not mandatory — everything is explained step-by-step.

Description
Welcome to theComplete Elasticsearch Course for Spring Boot Developers!

This training series is your perfect starting point todive deep into Elasticsearch, learn it fast, and start using it in real-world applications. Whether you’re building search features, analytics tools, or event-driven systems, this course will guide you every step of the way.

You’ll gain acomprehensive understanding of Elasticsearch architecture, setup, full-text search, and advanced usage patterns. It’s also an ideal entry point for exploring theElastic Stack (Elasticsearch, Logstash, Kibana)and theELK Stack.

Elasticsearch is one of the most powerful and in-demand search engines available today — and an excellent addition to your developer skillset, even if you’re already familiar with tools likeApache Lucene, Apache Solr, or Algolia.

What makes this course unique?

This course combinestheory and hands-on practice. You’ll first understand the concepts behind Elasticsearch, and then learn how to apply them effectively through practical examples and real queries. By the end, you won’t just knowhowto build powerful search capabilities — you’ll also understandwhythey work the way they do.

We startcompletely from scratch— no prior experience with Elasticsearch is required.

Step by step, we’ll cover the most essential parts of the system. By the end of this course, you’ll be able to:

Build Google-like full-text search engines

Perform advanced data analytics on large-scale datasets

Use Elasticsearch as a Time Series Database (TSDB)

Integrate Elasticsearch with Spring Boot for real-time data queries

And when combined with tools likeKibana, even more advanced possibilities will be unlocked.

Topics Covered:

Deep Dive into Elasticsearch Architecture

Installing & Using Elasticsearch in Projects

Full-Text Search Implementation

Spring Boot Setup & Integration

Writing Queries in Spring Boot with Elasticsearch

Real-World Use Cases and Examples

This course is perfect foranyone who wants to truly understand and effectively use Elasticsearch— whether you’re a backend developer, data engineer, or simply curious about building scalable search and analytics systems.

Ready to start your Elasticsearch journey? Let’s dive in!

Who this course is for:
- Java & Spring Boot developers who want to integrate powerful search functionality into their applications.
- Backend engineers and API developers looking to master full-text search, filtering, and analytics using Elasticsearch.
- Software developers of any background who want to understand how modern search engines work and apply them in real-world projects.
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