Search and Analytics with Elasticsearch, Logstash, and Kibana

As modern applications generate massive volumes of data, the ability to search, analyze, and visualize that information in real time is a critical skill. This text-based course provides a structured pathway to mastering Elasticsearch, Logstash, and Kibana (the ELK stack) for powerful data processing. You will transition from understanding basic search concepts to configuring robust data pipelines and building interactive dashboards. By studying real-world scenarios and writing structured queries, you will gain the practical skills needed to deploy search engines and log analysis systems. What you'll learn: - Understand core Elasticsearch concepts including nodes, clusters, inverted indices, and document mapping. - Write precise search queries and aggregations using the Query DSL to extract meaningful insights from complex datasets. - Configure Logstash pipelines to ingest, filter, and transform diverse data sources before indexing. - Design interactive Kibana dashboards to visualize system metrics, logs, and business data in real time. - Apply modern vector search fundamentals to support semantic search capabilities within your applications. - Implement basic security settings and role-based access controls to protect your cluster data. The course begins with foundational definitions of search engines and NoSQL databases, then guides you through building queries, configuring data pipelines, and visualizing results. You will practice through written exercises and detailed configuration examples designed for immediate application. This course is designed for beginner developers, system administrators, and data enthusiasts looking to build search and observability solutions. No prior experience with Elasticsearch or big data tools is required. Start reading today to unlock the power of real-time search and data analytics.