Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On

This course provides a hands-on approach to mastering Elasticsearch 8 and the Elastic Stack, enabling professionals to manage, analyze, and visualize large datasets. It begins with foundational concepts, covering installation and key components like HTTP, RESTful APIs, and Elasticsearch’s core features. Learners will advance through data mapping and indexing techniques, using analyzers, tokenizers, and the Bulk API to efficiently handle datasets of all sizes. The course also explores Elasticsearch’s search capabilities, from basic queries to advanced techniques like filtering, fuzzy searches, and N-Gram queries. Practical exercises reinforce these skills, ensuring real-world application. Integration with Logstash, Kafka, and Apache Spark is covered, providing learners with a well-rounded understanding of Elasticsearch’s data integration capabilities. The course concludes with performance optimization and cloud deployment strategies, ensuring participants can manage Elasticsearch in on-premise and cloud environments. Designed for data engineers, system administrators, and IT professionals, this course is ideal for those looking to advance their Elasticsearch skills. A foundational understanding of Elasticsearch and data management is recommended.