If you are someone who is running an application or planning to run an application that has a complex search/store functionality and is mainly based on the text? You are surely on the right page! Let's understand what Elasticsearch is. Elasticsearch is an open-source full-text search and analytics engine that is extremely scalable. It enables you to swiftly store, explore, and analyze large amounts of data in near real-time. It's typically employed as the underpinning engine/technology for applications with advanced search functionality and needs.
Top 5 Courses to learn Elasticsearch, Kibana, and Logstash in 2023 - Best of Lot
Now, let's review some of the best Elasticsearch courses available in the market.
Here is my list of best online courses to learn ElasticSearch in 2023. The list includes the best ElasticSearch courses from popular websites and online learning platforms like Udemy, Pluralsight, and LinkedIn Learning. You can join one of these or a couple of these courses to learn ElasticSearch in depth.
This 11-hour Elasticsearch training course will show you how to build a search engine and master huge data without any prior expertise. Elasticsearch 6, Kibana, and Logstash will be used to teach you how to do so (ELK stack).
The Elasticsearch training course will not only help you add this powerful technology to your CV, but it will also show you how to use Elasticsearch effectively to make your apps blazing fast. The Elasticsearch training course is chock-full of simple, step-by-step instructions for creating a search engine from the ground up.
Rating: 4.6 out of 5
duration: 6 hours
instructor: Imtiaz Ahmed
You will be highly comfortable with Elasticsearch 6, which is the most recent and popular version, at the end of the Elasticsearch training course. In addition, you'll learn how to do real-time analytics on your data.
This Elasticsearch training course, which is about 15 hours long and includes 11 downloadable materials, will teach you all you need to know about the ELK stack (Elasticsearch, Logstash, and Kibana) and Elastic Stack.
Unlike the prior Udemy Elasticsearch course, this one is not intended for total newbies and requires some fundamental JSON expertise. Some terminal abilities would also be beneficial. The Elasticsearch course on Udemy is designed to help you put your newfound knowledge to use in only a few hours.
It strikes the right mix between theory and practice, and you'll have a theoretical understanding of each exercise before you begin. This will enable you to conduct powerful searches using Elasticsearch while also gaining a better grasp of how it operates behind the scenes.
rating: 4.6 out of 5
duration: 12 hours
instructor: Bo Anderson
It's worth noting that this Udemy Elasticsearch course is just for developers interested in working with the Elasticsearch cluster. It's not for system administrators who wish to maintain their Elasticsearch cluster running. Also, Logstash and Kibana are not covered in this course.
This is a rather extensive Elasticsearch course for advanced learners with more than 43 hours of content, 40 videos, and 16 hands-on labs. The Elastic Certified Engineer Certification was created to recognize those IT professionals who have a good understanding of Elasticsearch.
As you could expect, the Elasticsearch course will assist you in preparing for the Elasticsearch certification and assisting you in becoming a certified expert for the construction of the whole Elasticsearch solution.
instructor: Aaron RosenMund
price: plans pricing
You'll begin with understanding the principles of Elasticsearch, and the rest of your studies will be centered on areas that will help you pass the exam. To test the waters, the Pluralsight learning platform offers a 10-day free trial.
This Elasticsearch course is not for total novices, and it is recommended for students in the intermediate level. The duration of the content is around 1 hour and 30 minutes.
The Elasticsearch course will teach you about Elasticsearch and Kibana's inner workings. You'll start with a high-level overview of the architecture before diving into the various deployment options. You'll also learn how to organize your data in the most effective way imaginable.
rating: 4.4 out of 5
instructor: Ben Sullins
price: LinkedIn premium plans
Finally, in the later stages of this Elasticsearch course, you'll learn how to query data and report your findings using Kibana. You can also take advantage of a free one-month trial on the LinkedIn platform to determine if this Elasticsearch training course is right for you.
The following are the main topics covered in the Elasticsearch course: local Elasticsearch installation, While investigating the cluster, Data loading in bulk, Types of sample data, Tokenization and analysis Histogram, and percentile.
This is a novice level Elasticsearch training course with roughly 1 hour and 30 minutes of information, as opposed to the above course. The course begins by teaching you the principles of Elasticsearch before assisting you in setting up and using the elastic stack.
The Elasticsearch training course will not only help you understand the content but will also help you understand why the stack can be a good fit for your workplace. Additionally, you will learn how to approach a normal installation.
rating: 4 out of 5
duration: 1.5 hours
instructor: Emmanuel Henri
price: LinkedIn premium plans
You'll not only learn about the many components of a stack, such as Elasticsearch, Kibana, Logstash, Beats, and X-Pack, but you'll also explore use cases and learn how to debug the stack. Since the Elasticsearch training course is available on the LinkedIn platform, it also comes with a free one-month trial.
By the way, you would need a LinkedIn Learning membership to watch this course which costs around $29.99 per month but you can also watch this course for FREE by taking their 1-month-free-trail which is a great way to explore their 17000+ online courses on the latest technology.
That's all about the best Elasticsearch courses you can join to learn this useful skill in 2023. Now that all these best ElasticSearch courses are laid bare in front of you guys, I hope you all will now surely jump and learn Elasticsearch with the course of your choice from above. Each has a unique selling point and has its own pros and cons. But let me tell you, each one is a winner of its own.