ElasticSearch入门 ElasticSearch as you have never knew it before

众所周知，ElasticSearch是一种全文搜索引擎或ELK的一部分，但除了用于搜索各种文档，通过ElasticSearch，你可以构建非常先进的搜索引擎，甚至是推荐模块，这比基于机器学习技术构建的类似系统更有效、更简单。此外，在构建高级搜索过滤器和聚合方面，ElasticSearch也展示了尤为突出的地理功能。

为此，三节课邀请Sergii Demianchuk带来本次课程，向你展示以前从未了解过的ElasticSearch。

本门课程包含了五个部分，第一部分面向初学者，已有 ElasticSearch 使用经验者可跳过；第二部分将通过一个简化的真实示例逐步展示如何构建高级搜索系统；第三部分将专门介绍推荐模块；第四部分将展示使用 php、python 和 Java 库与 ElasticSearch 集成的示例；第五部分展示关于使用 ElasticSearch 进行生产。

期待与您在课程里相遇。

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.

The course consists of 5 modules. First module is aimed for beginners and can be skipped by people who are already working with ElasticSearch. In the second section I will show how to build an advanced search system step by step on a real example of a simplified booking.com version. Next course section is devoted to the recommendation module. In the fourth section I will show real examples using php, python and Java libraries for integration with ElasticSearch. The fifth and the last part is about using ElasticSearch for production.

See you at the course.