OpenSearch is an open source document database with search and aggregation superpowers, based on Elasticsearch.
This session covers how to use OpenSearch to perform both simple and advanced searches on semi-structured data such as a product database. Search is pretty useful inside applications, so we'll also discuss how to connect to OpenSearch from existing Python applications, work with data in the database, and perform search and aggregation queries from Python.
This talk is recommended for Python developers whose applications are ready to gain some search superpowers.
Session author bios
Laysa Uchoa is a developer working towards a more diverse and fun Python community by organizing PyLadies Munich Chapter. Her passion for sharing knowledge and OSS has led her to work as developer advocate for Aiven, a company that offers a fully managed, OSS cloud data platform. She helps users to understand databases and do cool things with them. She is also an OSS contributor and organizer of OCPP (Open Charge Point Protocol) communities. Moreover, Laysa is the Head of Fullstack Events Association in Munich. Besides Python, she likes cyberpunk movies, tea, and human languages.
|Level of Difficulty||Beginner|