Data Search and Analytics with OpenSearch

In today's data-driven world, finding relevant information quickly and analyzing it in real time is critical for modern applications. OpenSearch offers a robust, open-source solution for indexing, searching, and visualizing massive datasets. This text-only course guides you from the absolute basics of search engines to implementing advanced search patterns. You will build a solid foundation in document indexing, query construction, and analytics dashboards, preparing you to handle real-world data retrieval challenges. What you'll learn: - Understand core search engine concepts, including inverted indexes, shards, and clusters. - Write structured queries and aggregations to extract meaningful insights from raw data. - Implement semantic search using vector database features and k-nearest neighbor (k-NN) search. - Configure basic anomaly detection and real-time monitoring alerts. - Design efficient data schemas and index mappings for optimal search performance. - Discover how to visualize and analyze search results using integrated dashboards. Starting with fundamental terminology and cluster architectures, the course guides you through manual query writing, indexing strategies, and modern vector-based search techniques. This course is designed for beginners, developers, and data analysts who want to learn search technology without any prior experience in OpenSearch. Start reading today to unlock the power of fast, scalable search and analytics.