Elasticsearch & Opensearch for Software Developers

Course overview

Basics of Elasticsearch & Opensearch General information about search engines Data import / indexing of data Mappings / schema flexibility The interplay between mapping and query Text analysis Sharding & distributed storage in the cluster Data replication and its impact on latency and data availability Search API Working with the Search API Basics and calculation of search relevance Simple and quick development of searches Query optimization through various configurations such as routing Query DSL Full-text search with the match query Search relevance Pagination Combining multiple search terms with boolean search Filtering search results Other query types such as prefix, terms, and range Fuzzy search Optimizing query latency Aggregations Vector Search with kNN Indexing data as vectors Differences between various kNN methods Advantages and limitations of vector search Creating Search Suggestions & Highlighting Indexing data for search suggestions (nGrams, prefix) Using the suggest API for various Search Indexes in Operation Search templates Aliases Query logging and performance optimizations Additional Topics Scroll / search_after for exporting large amounts of data Asynchronous search

Upcoming dates

• 2026-10-04T22:00:00.000Z · 2026-10-06T22:00:00.000Z · Online-Seminar
• 2026-10-04T22:00:00.000Z · 2026-10-06T22:00:00.000Z · Köln · Seminar
• 2027-01-05T23:00:00.000Z · 2027-01-07T23:00:00.000Z · Online-Seminar
• 2027-01-05T23:00:00.000Z · 2027-01-07T23:00:00.000Z · Köln · Seminar