Abstract
Today’s applications are expected to provide powerful full-text search. But how does that work in general and how do I implement it on my site or in my application? Actually, this is not as hard as it sounds at first. This talk covers:
- How full-text search works in general and what the differences to databases are.
- How the score or quality of a search result is calculated.
- How to handle languages, search for terms and phrases, run boolean queries, add suggestions, work with ngrams, and more with Elasticsearch.
We will run all the queries live and explore the possibilities for your use-case.
Bio
Philipp lives to demo interesting technology. Having worked as a web, infrastructure, and database engineer for over ten years, Philipp is now a developer advocate and EMEA team lead at Elastic — the company behind the Elastic Stack consisting of Elasticsearch, Kibana, Beats, and Logstash.
Philipp lives to demo interesting technology. Having worked as a web, infrastructure, and database engineer for over ten years, Philipp is now a developer advocate and EMEA team lead at Elastic — the company behind the Elastic Stack consisting of Elasticsearch, Kibana, Beats, and Logstash.
Wed 19 MayDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
03:10 - 04:00 | |||
03:10 50mTutorial | Elasticsearch Full-Text Search Internals Tutorials Philipp Krenn Elastic |
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