Elasticsearch 6.0: Learn Elasticsearch, Kibana from Scratch
Learn Elasticsearch & Kibana from scratch, Store, Search, Visulaize & Analyze Big Data on cluster with Elasticsearch
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What Will I Learn?
- Install, configure and administer Elasticsearch & Kibana
- Understand the features, advantages and use-cases of Elasticsearch
Requirements
- Desire to learn new & interest in learning Big Data Technology
- Basic Understanding of JSON
Description
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.
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.
Who is the target audience?
- Anyone interested in learning how to build a search engine using Elasticsearch 6.1 or below
- Developers and Database Admin who are interested in Elasticsearch & Kibana
- IT Engineers & Students
- Software Architects & Tech Founders
Source: Udemy.com
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