7 Best Elasticsearch Training and Courses [Updated March 2023]

 

This 11-hour elasticsearch training course that does not require any prerequisite knowledge will teach you how to develop a search engine and master big data. You will be learning to do so through Elasticsearch 6, Kibana, and Logstash (ELK stack). The elasticsearch training course will not only help you put this powerful technology to your resume but also help you make your applications blazing fast by implementing Elasticsearch correctly. The elasticsearch training course is full of easy step-by-step practical instructions to build a search engine from scratch. By the end of the elasticsearch training course, you will be very comfortable with Elasticsearch 6, which is the most recent and most popular version. Also, you would be learning about performing real-time analytics on your data.

 

A few key concepts that you will learn in the elasticsearch training course are:

• Aggregations DSL
• Distributed execution of requests
• Indexing, retrieving and deleting documents
• Index settings and mapping
• DSL query context
• Kibana visualization

 

Like a lot of other udemy elasticsearch training courses, this one too has been backed by a 30-Day Money-Back Guarantee.

 

 

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This elasticsearch training course, which is almost 15 hours in length and has 11 downloadable resources, will teach you about ELK stack (Elasticsearch, Logstash & Kibana) and Elastic Stack from scratch. Unlike the previous udemy elasticsearch course, this one is not meant for complete beginners and requires you to have some basic knowledge of JSON beforehand. Also, some terminal skills would prove to be useful. The udemy elasticsearch course aims at helping you put your knowledge to work in just a few hours. It maintains a perfect balance between theory and practice, and before every exercise, you would be having the theoretical knowledge about it. This will help you perform powerful searches with Elasticsearch while also understanding how it works behind the scenes at the same time.

 

Primary concepts that you will study in this udemy elasticsearch course are:

• Inspecting the cluster
• Batch processing
• Mapping parameters
• Understanding the relevance scores
• Working with relative dates
• Multilevel relations

 

It is worthwhile to note that this udemy elasticsearch course is only made for developers who want to work with the Elasticsearch cluster. It is not meant for system administrators who want to keep the Elasticsearch cluster in production. Also, this course does not cover Logstash and Kibana.

 

 

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This is a relatively comprehensive elasticsearch course of more than 43 hours in length for advanced learners and has 40 videos,16 hands-on labs. To recognize those IT professionals who have a decent level of expertise in Elasticsearch, the Elastic Certified Engineer Certification was brought into existence. As you would have guessed by now, the elasticsearch course will help you prepare for the Elasticsearch certification and help you become a qualified professional for the development of the complete Elasticsearch solution. You will be starting by learning the fundamentals of Elasticsearch, and all your learning would be focused on topics that will help you pass the certification.

 

Core concepts taught in this elasticsearch course are:

• Deployment and configuration of an Elasticsearch cluster
• Exam objectives
• X-pack security
• Defining and using and ingest pipeline
• CRUD operations in Elasticsearch
• Custom Elasticsearch Analyzer

 

The Linux Academy platform provides you with a seven-day free trial to test the waters.

 

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This elasticsearch course is not meant for complete beginners, and only intermediate level students should take it. The content is around 1 hour and 30 minutes in length. The elasticsearch course will help you dive into the inner workings of Elasticsearch and Kibana. You will be starting with an overview of the architecture and then move on to study the different deployment methods. Further, you will also read about how to structure your data in the best possible way. Finally, in the later sections of this elasticsearch course, you will learn about querying data and using Kibana to present your insights.

 

Primary topics covered in the elasticsearch course are:

• Local installation of Elasticsearch
• Exploring the cluster
• Bulk loading of data
• Sample data types
• Analysis and tokenization
• Percentile and histogram

 

The LinkedIn platform also provides you with the opportunity of a free one month trial to see whether this elasticsearch training course is for you or not.

 

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Unlike the above course, this is a beginner level elasticsearch training course and has around 1 hour and 30 minutes of content. The course starts by introducing you to the fundamentals of Elasticsearch and then helps you set up and use the elastic stack. Apart from studying the content, the elasticsearch training course will also help you realize why the stack might be a smart addition to your environment. Also, you will learn about how you should approach a typical installation. Not only will you be learning about the different elements of a stack, which include Elasticsearch, Kibana, Logstash, Beats, and X-Pack, but also you will be exploring use cases and learning how to troubleshoot the stack.

 

This elasticsearch training course will help you learn:

• Installation of Stack
• Metrics analysis
• Application performance monitoring
• Security analysis
• Log management
• Windows and docker

 

Since the LinkedIn platform has offered the elasticsearch training course, this too has a free one month trial associated with it.

 

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The official Elastic training on the elastic platform is available to us in three modes, i.e., through classrooms in various cities, virtual classrooms online, and online self-paced on-demand content. The total elasticsearch training course duration is 16 hours, irrespective of in which form you consume the material. For the sake of consistency in this article, we will only be discussing the self-paced on-demand form of the course. You are free to check the website through the link mentioned above in case you are interested in the classroom and the virtual classroom format.

 

There are two foundational courses to start your Elastic training:

 

Elastic Engineer 1

This course will help you build strong foundations to learn Elasticsearch. It teaches you how you can deploy and manage Elasticsearch clusters and also how you can use the same deployment for developing powerful search and analytical solutions. From installing, configuring, and troubleshooting Elasticsearch clusters to exploring the inner workings of the Elasticsearch, you will gain a lot of insight into the backend workings of Elasticsearch too.

 

A few things that you will learn in this course are:

• Elasticsearch fundamentals
• Elasticsearch queries
• Elasticsearch aggregations
• Elasticsearch text analysis and mappings

 

Elasticsearch Engineer II

This course will help you develop the preexisting work skills that you acquired from the Elastic Engineer 1 course. You will be expanding your knowledge and develop and manage a powerful search and analytical solution implemented through Elasticsearch. Right from the advanced cluster management techniques to index lifecycle management and querying your cluster, this course teaches you a variety of useful concepts.

 

Main topics that you will study in this course are:

• Elasticsearch data modeling
• Elasticsearch data processing
• Elasticsearch from dev to production
• Elasticsearch cluster deployment

 

Once you are done with both the Elasticsearch Engineer foundational courses, we recommend you to move on to the Elasticsearch Advanced Search Specialization Schedule. This specialization will help you develop and further enhance your learning. It will help you get into the elite league of core Elasticsearch professional experts. There are six modules in the specialization, and unlike the above courses, the only way of delivery is self-paced on-demand, which is most probably what you are looking for right now. Here are the 6 modules in the specialization:

 

• Data Store Integration
• Understanding and Controlling Relevance
• Improving Search with Synonyms
• Geospatial Search
• Improving Search with Text Analysis
• Improving Search with Suggestions

 

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This is a moderate length 8.5-hour udemy elasticsearch course that will help you search, analyze, and visualize big data on a cluster. The main technologies that you would be using to implement the same are Elasticsearch, Logstash, Beats, and Kibana. The udemy elasticsearch course is not meant for complete beginners and requires you to have some familiarity with web services, REST, Linux, and JSON-formatted data. From installation to operation, the course has over 90 lectures. Unlike other courses over here, this udemy elasticsearch course revolves around Elasticsearch 7. You will be setting up the search indices on Elasticsearch cluster 7 and querying the data in different ways.

 

Primary topics covered in this Elasticsearch training course are:

• Full-text and structured data
• Spark, Kafka, relational databases, S3
• Cloud-based solutions
• Aggregating structured data
• Using Filebeats and the Elastic Stack
• Importing streaming log data into Elasticsearch

 

A lot of other concepts like fuzzy search, partial matches, search-as-you-type, pagination, sorting, etc. have been covered in the course. The course also places particular importance on practical learning, and you will be practicing each exercise on a virtual machine running Elasticsearch on your own PC.

 

 

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