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所在平台: Udemy |
课程主页: https://www.udemy.com/course/elasticsearch-and-elastic-stack-from-scratch-hands-on/
课程评论：没有评论
课程名称：Elasticsearch 6.0：从零开始学习Elasticsearch和Kibana 课程概述： Elasticsearch是一款基于Lucene的实时分布式开源全文搜索和分析引擎，广泛应用于单页面应用程序项目。它是开源的，采用Apache许可证，并由Java开发。Elasticsearch在大数据技术中仅次于Hadoop，被认为很快就会超越Hadoop，因其在快速发展的NoSQL技术领域中的受欢迎程度日益上升。Elasticsearch作为一个分布式的RESTful搜索和分析引擎，能够满足日益增长的应用需求。作为Elastic Stack的核心，Elasticsearch集中存储数据，以实现快速搜索、精准相关性和强大的分析，且易于扩展。 在本课程中，我们将学习Elasticsearch和Kibana。Elasticsearch与Kibana和Logstash共同构成了Elastic Stack（或ELK Stack）。Kibana是一个分析和可视化平台，而Logstash则是一个数据收集和日志解析引擎。掌握Elasticsearch和Kibana的知识和经验对于大数据相关工作的求职和职业发展至关重要。Elastic Stack被认为是在未来几年中最受欢迎的大数据技术之一。 本课程将帮助您获得Elasticsearch和Kibana的知识和实践技能，使您能够运行和操作自己的Elasticsearch集群。
Elasticsearch is a real-time distributed and open source full-text search and analytics engine based on Lucene and used in Single Page Application projects. Elasticsearch is open source licensed under the Apache and developed in Java. Elasticsearch is the most used Big Data technology after Hadoop and many believe that it would be surpassing Hadoop very soon and Elasticsearch is becoming popular since NoSQL tech space is also growing rapidly.Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data for lightning fast search, fine‑tuned relevancy, and powerful analytics that scale with ease.In this course we will learn about Elasticsearch and Kibana. Elasticsearch, along with Kibana and Logstash forms the Elastic Stack or ELK Stack. Kibana is an analytics and visualisation platform and Logstach is a data-collection and log-parsing engine.Knowledge and experiecne of working with Elasticsearch and Kibana could be very useful in Big Data related job searches and the projects you get to work in your career. Elastic Stack is considered to be the most sought after Big Data Technology in coming years.This course will help you get knowledge and working knowledge of ElasticSearch & Kibana so that you can run and operate your own Elasticsearch cluster.
