Complete Guide to Elasticsearch
- 12 hours on-demand video
- 3 articles
- 3 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
Get your team access to 4,000+ top Udemy courses anytime, anywhere.Try Udemy for Business
- 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
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.
This lecture walks through the components of the Elastic Stack, giving you an overview of how these fit together with Elasticsearch.
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.
When it comes to installing Elasticsearch and Kibana, you have a number of options. Check out this quick overview to help decide which approach is best for you.
Running Elasticsearch and Kibana in Elastic Cloud is the easiest way to get up and running quickly.
Learn how to install Elasticsearch on macOS and Linux.
Having installed Elasticsearch, let's take a quick tour of what the directory contains.
Understand the basic architecture of Elasticsearch, including what nodes, indices, and documents are.
Let's take a moment to see what the cluster that we started up looks like internally.
Using Kibana's Console tool is not the only way you can send requests to Elasticsearch's REST API. Learn how to do the same with the cURL HTTP client in this lecture.
Learn how to update documents with scripts. Scripts enable us to update documents dynamically, such as by performing calculations on field values. You will also see how to include parameters within scripts. Lastly, you will learn how to ignore a given document during an update, how to conditionally update a document, and how to delete a document within a script.
Now that you know how Elasticsearch reads data, let's talk about how it writes data. That's a more complicated subject involving something called primary terms, sequence numbers, as well as global and local checkpoints. We will also cover the basics of how data is replicated to replica shards.
Documents might be overwritten inadvertently due to a web server running multiple threads in parallel, for instance. How do we deal with this problem? We first look at how we used to handle this, before diving into how primary terms and sequence numbers can be used to overcome this challenge.
Apart from specifying analyzers when creating a new index, sometimes we might need to add an analyzer to an existing index. Let's see how to do that in this lecture. In the process, we will look at opening and closing indices, as well as static and dynamic index settings.
Joining queries are often not very fast. This lecture discusses the performance of joining queries and teaches you when performance is going to be an issue, enabling you to determine whether or not the "join" field is the right tool for your particular use case.
- Knowledge of JSON
- Basic terminal skills is a plus
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.
- Developers who want to learn Elasticsearch. The course is intended for developers and not system administrators.