ElasticSearch as you have never known it before

Everybody knows ElasticSearch as a popular full–text search engine or as part of ELK but I am going to show you ElasticSearch from the side you have never known before. I want to show you that with ElasticSearch you can build very advanced search engines or even recommendation modules that can be much more effective and together with that, much more simpler than similar systems built on top of machine learning technologies. I want to show the real geo power of ElasticSearch for building advanced search filters and aggregations.

This course is built in such a way it would be useful both: for complete beginners and for people who are working with ElasticSearch but would like to extend their practice knowledge. It would be especially useful for those who are going to build some recommendation systems or advanced search mechanisms in the near future.

The course consists of 5 modules. First module is aimed for beginners and can be skipped by people who are already working with ElasticSearch. Here I will tell you about basics: how to install and configure the environment using Docker, how data at ElasticSearch are organized, why mapping is so important and what all that mess around tokenizers and analyzers means.