Description
While there are many tutorials that will teach you everything about ElasticSearch and Kibana but this course doesn't try to do that. Instead the goal of this course is to get you as a developer or user of ElasticSearch started quickly. This is the reason you may not find much theory. In this tutorial you will find the basics of ES and Kibana.
Upon completing this course, my goal is that you should know:
- How to install ElasticSearch and how to communicate with it
- How to index and remove Documets
- How to do basic operations like CRUD
- Comparison between Elasticsearch and other database terminology
- How to install Kibana and how to communicate with it
- How to search for documents and aggregate data from them
- How to import real time data to Kibana
- Plotting various Visualizations and Dashboards.
All the material which is used in this course is attached.
You can complete this course in 3-5 hours and please don't ignore any Quiz.
We made this course such a way that everyone can understand easily, we added the basic concepts in the beginning lectures , then added advanced topics and finally taught how to use the combination of ES and KIBANA.
Información sobre el Instructor
3.96 Calificación
23404 Estudiantes
11 Cursos
Tutorial Drive
Software Professional
I have been working in the Information technology field from past six years and I worked with many reputed companies in USA as well as in India. I have hands-on experience with multiple technologies like Apache Kafka, Storm, Hadoop, Spark, Java and Linux etc. I am interested in learning all the new things and I learned most of these technologies by myself.
I am here on the Udemy to share my experience and knowledge with you.
-TutorialDrive
Student feedback
Reviews
The halting English narration is distracting. Deliberate pauses should be at the end of sentences or clauses separated by commas in the script. The terms being defined have other meanings outside computer science and a disclaimer could be provided to differentiate between the meaning of node and cluster. For example. A cluster is a group of redundant servers which allow any one server-node to act in the place of the others. The reasons for having a cluster are two. 1) Failure Protection. 2) Reduced Response Time. In the case of #1 it is advisable to have nodes rely on different power grids, hardware servers, and network hardware, where possible. This can be important when storing replicas of databases in more than one geographical location. This reduces risk to the data when there are other copies in separate geographical locations.
Very outdated
Ronald Hensbergen
28-09-2020
The presenter is talking with many stops, which makes it hard to listen to