Elasticsearch 6.0: Learn Elasticsearch, Kibana from Scratch (Udemy.com)
Learn Elasticsearch & Kibana from scratch, Store, Search, Visulaize & Analyze Big Data on cluster with Elasticsearch
Created by: Sunil Kumar Gupta
Produced in 2018
What you will learn
- Install, configure and administer Elasticsearch & Kibana
- Understand the features, advantages and use-cases of Elasticsearch
Quality Score
Overall Score : 84 / 100
Course Description
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 this course is for:
- 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
Instructor Details
- 4.2 Rating
20 Reviews
Sunil Kumar Gupta
Sunil is a developer, programmer, mentor and all round technology nut. With over 8 years of professional experience in the software development as Software Engineer and Technology Analyst, he understands what technology can do for us.
He loves building applications using Object Orientated languages & Aspect Orientated programming.
He has a special love for Data Analysis, Data Science and Analytics.
He runs technology website where he shares his technical expertise and experience.
Sunil is an Oracle Certified Professional, Java SE 6 Programmer and currently works as Technology Analyst at an IT company and he holds a Bachelor of Technology degree in Computer Science & Engineering.
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