Course Information
Course Overview
Explore concepts like Installing, Communicating, Real-time data analysis and Visualization using ElasticSearch & KIBANA
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.
Course Content
- 18 section(s)
- 42 lecture(s)
- Section 1 Elasticsearch - Introduction & Getting Started
- Section 2 Elasticsearch - Fundamentals & Installation
- Section 3 Elasticsearch - Exploring The Cluster
- Section 4 Elasticsearch - Introduction to Indices
- Section 5 Elasticsearch - Introduction to Documents
- Section 6 Elasticsearch - More about API's
- Section 7 Elasticsearch - Modifying The Data
- Section 8 Elasticsearch - Bulk Operations
- Section 9 Elasticsearch - Query Language
- Section 10 Elasticsearch - Searches & Queries
- Section 11 Elasticsearch - Aggregations
- Section 12 Kibana - Getting started
- Section 13 Kibana - Importing Real time Date
- Section 14 Kibana - Using Discover
- Section 15 Kibana - Creating Visualization's
- Section 16 Kibana - Creating Dashboard's
- Section 17 Weekly Topic
- Section 18 Bonus Section
What You’ll Learn
- Comfortably work with Elasticsearch and Kibana, Be able to write Elasticsearch queries for searching and sorting, Be proficient with the concepts and terminology of Elasticsearch, Do CRUD (create, read, update and delete) operations on Elasticsearch, Be able to build a powerful search engine with Elasticsearch, Import real data into your index and create a working Elasticsearch, Configuring Kibana, Creating searches and using Discover tab in Kibana, Be able to create various types of Visualizations, Be able to create dashboards
Skills covered in this course
Reviews
-
RRamakrishna Konidena
Hello Raghu That was a great tutorial. i felt it would have been little faster. Anyway simple yet understandable to the layman level. Thank you for the work.
-
SSoletu Mazimela
It's an older course, but I needed to just understand the underlying fundamentals for using AWS-managed ES, so this has set me on the right path. I had to put the speed at 1.5 and some words I could hear because of accent. The reason I chose it as opposed to others was because it is short and to the point, so I did not have to spend 14 hours just to get the basics.... everything else I will be able to figure out myself, I just needed context. If you could revamp the course to be up to date it would be great for newer students, but I thoroughly enjoyed the simpleness with which you went through the course, well done.
-
TTomer Amir
the order of terms can be improved as well as the organization methodology.will also be great to add/mention possible values of the query syntax as well as indicate other comments like is it case sensitive etc. also many times mentioned that it will be available in the resources, but nothing is there and a lot of promises to discuss issues on next lectures which didn't happen.
-
RRenato Sagues
This is a great course for individuals that are new to ElasticSearch. The course has allowed me to understand ElasticSearch, without any prior knowledge of Elastic tools.