Elasticsearch: Build, Query & Optimize with ELK

О курсе

Build practical Elasticsearch skills and learn to create, query, and manage distributed search solutions with the ELK Stack. You’ll begin by exploring NoSQL fundamentals and the core architecture of Elasticsearch, including clusters, nodes, indices, documents, mappings, and data types. Using Kibana Dev Tools, you’ll interact with Elasticsearch and test queries in real time. You’ll then examine how character filters, tokenizers, and token filters process text, and implement edge n-gram and synonym analyzers to improve search relevance and autocomplete. You’ll also configure cluster discovery and gateway settings to improve stability and prevent split-brain issues. As you progress, you’ll distinguish query and filter contexts and build match, term-level, range, prefix, geo_point, and geo_shape queries. You’ll use Cluster, Indices, Document, and Bulk APIs to monitor cluster health, manage shards and aliases, and perform efficient CRUD operations. Designed for beginners in NoSQL and IT professionals ready to advance their search expertise, this course uniquely connects distributed architecture, near real-time search, query precision, and practical troubleshooting. You’ll also understand how Elasticsearch works with Logstash and Kibana for real-time data ingestion, indexing, and visualization. Enroll to develop applicable skills for scalable, data-driven environments.

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