Курс Complete Guide to Elasticsearch

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Обучение платное
Сертификация бесплатная
12 часов курса
О курсе

Do you want to learn the popular search engine, Elasticsearch, from the beginning and become a professional in no time? This course is an excellent way for you to quickly learn Elasticsearch and to put your knowledge to work in just a few hours! If so, then you have come to the right place, as this is the most comprehensive course on Elasticsearch that you will find online! This course is a great starting point for anyone who wants to learn the ELK stack and Elastic Stack, as Elasticsearch is at the center of both stacks.

Elasticsearch is an extremely popular search engine and will be an excellent addition to your CV - even if you are already familiar with other search engines or frameworks such as Apache Lucene, Apache Solr, Amazon CloudSearch, etc.

Please note that this course is intended for developers who want to interact with an Elasticsearch cluster in one way or another and not system administrators looking to maintain an Elasticsearch cluster in production. The course focuses on functionality relevant to utilize the capabilities of Elasticsearch as a developer.

The course is a combination of theory and learning by doing. Before giving examples of how to perform certain queries, you will have been equipped with the necessary theory in advance. This ensures that you not only know how to perform powerful searches with Elasticsearch, but that you also understand the relevant theory; you will get a deep understanding of how Elasticsearch works under the hood.

The course starts from the absolute beginning, and no knowledge or prior experience with Elasticsearch is required. We will walk through all of the most important aspects of Elasticsearch, and at the end of this course, you will be able to build powerful search engines. This could be for a website where you could build Google-like search functionality, for example.

So, join me in this course and learn to build powerful search engines with Elasticsearch today!

Note that this course does not cover Logstash and Kibana. This is so that I can go into much greater detail with Elasticsearch and focus on that exclusively. This course is therefore dedicated to Elasticsearch. For courses on Logstash and Kibana, please see my other courses.

Getting Started
After completing this section, you will know what Elasticsearch is, along with the ELK stack and Elastic Stack, including Logstash, Kibana, X-Pack, and Beats.
Introduction to this course
Introduction to the course and what you will learn.
Introduction to Elasticsearch
What is Elasticsearch all about? How does it work, why is it so popular, and who uses it? There are many questions to be asked, and many answers to be given. Get the answers in this lecture.
Overview of the Elastic Stack
This lecture walks through the components of the Elastic Stack, giving you an overview of how these fit together with Elasticsearch.
Understanding of the Elastic Stack
Test your understanding of what the purpose of each part of the Elastic Stack is.
Walkthrough of common architectures
In this lecture, we take a look at some common use cases for the Elastic Stack, and how a simple architecture might evolve over time to incorporate more components of the Elastic Stack.
Guidelines for the course Q&A
What the Q&A is for, and what it isn't for.
Architecture of Elasticsearch
Introduction to this section
Introduction to this section on the Elasticsearch architecture.
Nodes & Clusters
Explanation of what a clusters and nodes are.
Nodes & Clusters
Test your understanding of clusters and nodes.
Indices & Documents
Explanation of what indices and documents are.
  • Knowledge of JSON
  • Basic terminal skills is a plus
Что Вы изучите?
  • How to build a powerful search engine with Elasticsearch
  • The theory of Elasticsearch and how it works under-the-hood
  • Write complex search queries
  • Be proficient with the concepts and terminology of Elasticsearch
Bo Andersen
Bo Andersen
Lead Developer

My name is Bo Andersen and I am a software engineer from Denmark.

I currently work as the lead developer and partner at a startup company, apart from teaching here at Udemy. I have previously worked at a very successful company, operating one of the largest websites in Denmark, before deciding to teach software engineering. I have worked with programming for a decade and have a bachelor's degree in computer science. I started out learning to code by building websites in PHP, but have since worked with many other technologies such as Elasticsearch, Logstash, Kibana, Beats, Java, Python, Docker, AWS, etc.

I have also been blogging about programming subjects for a number of years, so I encourage you to have a look at my website if you are curious.

Курсы Udemy подойдут для профессионального развития. Платформа устроена таким образом, что эксперты сами запускают курсы. Все материалы передаются в пожизненный доступ. На этой платформе можно найти курс, без преувеличений, на любую тему – начиная от тьюториала по какой-то камере и заканчивая теоретическим курсом по управлению финансовыми рисками. Язык и формат обучения устанавливается преподавателем, поэтому стоит внимательно изучить информацию о курсе перед покупкой.
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