Getting Started with Elasticsearch

Learn basics of Elasticsearch from scratch with this 101 course and become an Elasticsearch Padawan.
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• 4,015 students enrolled
Instructed by Sezin Karli Development / Databases
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  • Lectures 13
  • Length 30 mins
  • Skill Level Beginner Level
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 10/2015 English

Course Description

From real-time search and event management to sophisticated analytics and logging at scale, Elasticsearch has a great number of uses. Getting Started with Elasticsearch course will help you learn the basics of Elasticsearch. If you already have a knowledge of Relational Databases and you are eager to learn Elasticsearch, then this course is for you. You will end your journey as a Elasticsearch Padawan.

Content and Overview

You will begin learning Elasticsearch with a gentle introduction where you can setup your environment and launch your node of Elasticsearch for the first time. After that, we will dive into Create/Read/Update/Delete operations where you will grasp basics of Elasticsearch. All lectures are up to date with Elasticsearch 2.0.

What are the requirements?

  • Beginner level knowledge in relational databases is needed

What am I going to get from this course?

  • Install Elasticsearch and start a new node
  • Install Head and Marvel plugins
  • Do create, read, update and delete operations on Elasticsearch
  • Become an Elasticsearch padawan

Who is the target audience?

  • Getting Started with Elasticsearch course is for everyone with motivation to learn basics of Elasticsearch. The only skill you will need is a basic understanding of relational databases.
  • No computer science degree, or a programming knowledge is needed.

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.


Section 1: Introduction

In this lecture, I will introduce you to "Getting Started with Elasticsearch" course.

Section 2: Introduction to Elasticsearch

In this lecture, we will talk about the definition and uses of Elasticsearch.


In this lecture, I will try to give the terminology for Elasticsearch. Index, type, shard, node ... etc.


In this lecture we will install Elasticsearch on Windows and run a node.


In this lecture we will install Elasticsearch on OSX and run a node.


In this lecture, I will explain how we can install Head and Marvel plug-ins which are quite useful.

Marvel contains Sense plug-in that we will use in every single lecture of our course.

If you use Elasticsearch >= 2.0 then skip Marvel and just install Head.


If you use Elasticsearch version greater than 2, then you will need to install Kibana which contains Sense plug-in that we will use in every single lecture of our course. Else you can skip this lecture.

Section 3: CRUD on Elasticsearch

In this lecture we will learn how to index documents in Elasticsearch that is how to create documents.

If you use Elasticsearch 2 please use the following url for Sense:



In this lecture, we will learn how to get documents by id and most popular query DSL clauses.


During this lecture, we will learn to do full update of documents in Elasticsearch.


During this lecture, we will learn to delete documents by id.

5 questions
Section 4: Conclusion

In this lecture, we will summarize what we learnt during this course.


Use ACTION15 for having a discount of 70% in my Elasticsearch in Action course!

The link to follow is below:

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Instructor Biography

Sezin Karli, Principal Software Engineer | Elasticsearch Instructor

Principal Software Engineer at Sahibinden com which is the largest online classifieds and e-commerce platform in Turkey. Avid learner of new technologies. Blogger, speaker and instructor.

I have been developing applications for almost a decade. My first love is Java and I'm also a huge fan of Spring framework. I also like Groovy and I'm currently flirting with Python.

Relational Databases and Elasticsearch are my main interests in Data Store Systems ecology. I prepared Elasticsearch in Action and Getting Started with Elasticsearch courses to share the love. I taught Elasticsearch to more than 2000 satisfied students.

I love giving tech talks when I get the opportunity. I gave talks on Unit Testing, SonarQube, Google Guava, Docker and Spring Boot.

I have a MSc degree from Sabanci University where I worked on Data Mining, specifically focused on Periodic Pattern Mining.

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