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ELK STACK Training

5 ( 628 Learners)

Learn overview of ElasticSearch, Kibana, and Logstash with ELK Stack Online Course

30+ Hrs

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ELK STACK Course Overview

ELK is an acronym for Elasticsearch, Logstash, and Kibana. Elasticsearch is a data analytics and search engine. Logstash is a server-side data processing pipeline that simultaneously ingests data from numerous sources, transforms it, and delivers it to a "stash" like Elasticsearch. In Elasticsearch, Kibana allows users to visualize data using charts and graphs. The ELK stack provides centralized logging for detecting server or application problems. It lets you search through all of your logs in a single place. It also aids in the discovery of issues across numerous servers by connecting logs during a certain period.

HKR trainings delivers the best industry-oriented ELK Stack training course, that aids the aspirants to learn and implement ELK Stack concepts, and assists in clearing the certification exam. This ELK Stack course provides you in-depth knowledge of the content required for learning ELK Stack which incorporates the concepts such as ELK Stack overview, architecture, CRUD API, multi-node cluster, Logstash parsing, Elasticsearch, data aggregation, data modeling, etc. Enroll today at HKR for accepting the new challenges to make the best outcome out of our ELK Stack online training course.


To apply for the ELK STACK Training, you need to either:

  • To learn big data Analytics tools you need to know at least one programming language like Java, Python or R.
  • You must also have basic knowledge on databases like SQL to retrieve and manipulate data.
  • You need to have knowledge on basic statistics like progression, distribution, etc. and mathematical skills like linear algebra and calculus.

ELK STACK Course Content

We have developed the best ELK Stack Training content by keeping in mind the current industry requirements. Following are the ELK Stack course syllabus modules that we are going to cover in this training. 

This section will introduce you to the core concepts and techniques used for developing it. You will learn about ELK architecture and how it would be helpful for organizations. 

  • Overview of ELK Stack 
  • Architecture of ELK
  • Why ELK?
  • Detailed overview of  ElasticSearch, Kibana, and Logstash

Learning outcome: Upon completion of this chapter you will gain a complete understanding of ELK Stack architecture, familiarity with terminology, basics of ElasticSearch, Kibana, and Logstash, and usage of ELK Stack in companies.

  • Creating Index 
  • On the Fly Index Creation 
  • List down the indexes in Elasticsearch 
  • Anatomy of a document 
  • Create a document in Elasticsearch 
  • Searching documents from Elasticsearch 
  • Deleting documents in Elasticsearch 
  • Update documents in Elasticsearch

  • Handling concurrency in Elasticsearch 
  • Introduction of programming concepts 
  • Connecting the Elasticsearch through using programming interface •
  • Bulk Request 
  • Bulk Indexing 
  • Bulk Retrieval 
  • Strategery followed while using Bulk Indexing

  • Different types of node 
  • Configuring the Nodes – Window/Linux

In this section you will learn the basics of Logstash, the procedure to install Logstash, creating an advanced pipeline, and the process to stitch various input and output plugins to unify data from diversified sources.  

  • Introduction to Logstash
  • Installation of Logstash 
  • Stashing an event 
  • Configuring a log file
  • Parsing Logs using Logstash
  • Execution Model
  • Plugins 
  • Stitching together various input and output data.  

Learning outcome: After completion of this chapter, you will have gained hands-on experience in the areas such as Logstash installation process, execution of an event, creation of advanced pipeline, unifying data gathered from various sources, etc.

This section has been designed to provide you with a deep understanding of the ElasticSearch component. 


  • ElasticSearch Overview
  • Installation of Elasticsearch 
  • Searching a Document 
  • Indexing Documents
  • Retrieving a Document

Learning Outcome: Once this chapter finishes you will be able to retrieve information of an employee, perform a structured search, gain knowledge of full-text search, etc.

This section has been designed to provide in-depth knowledge of ElasticSearch. Here you will learn data and run search queries through it and you will learn how to index and query data allowing you to take advantage of partial matching, word proximity, and language awareness. 


  • Structured Search
  • Complicated Search 
  • Full-text Search
  • Highlighting our Search
  • Phrase Search
  • Proximity Matching
  • Partial Matching
  • Multi-field Search 

Learning Outcome: Upon the completion of this section you will be able to  Perform Structured Search, full-text search query, multi-field search, associated words, and partial matching query.

This section helps you solve various problems such as singular and plural words, typos, tenses. You will also learn how to deal with human language improving performance.                 


  • Getting Started with languages 
  • Normalizing Tokens
  • Identifying Words
  • Words reduction to their Root Form
  • Performance versus Precision
  • Typos and Misspellings
  • Synonyms 

Learning Outcome: Upon the completion of this training you will be able to improve search performance, look for misspellings or alternate spellings,  identifying words, typos and misspellings.

This section is designed to provide you knowledge of data sets and query performance on data sets to get real-time answers.  


  • High-Level Concepts 
  • Time Analysis
  • Introduction to Aggregation 
  • Filtering Aggregations and Queries 
  • Approximate Aggregation
  • Sorting Multiple Buckets 
  • Doc Values and Field Data 

Learning Outcome: upon the completion of this chapter you will be able to gain complete knowledge of concepts such as buckets and metrics, bar charts using buckets,  Date Histogram, Sort multi-value bucket, Filter queries, and aggregation.

It is very difficult to perform the joins between various entities that reside on different hardware. It is very expensive and very challenging. This module teaches you how data modeling is done in ElasticSearch.  


  • Handling Relationships
  • ElasticSearch vs RDBMS
  • Nested Objects
  • Designing for Scale
  • Parent-Child Relationship   

Learning Outcome: Upon the completion of this section you will be able to get the best search results with Denormalizing Data, use Nested Objects, gain knowledge of Parent-Child Relationship, and knowledge of other data modeling concepts.

The great advantage of Elasticsearch is that it allows you to combine geographical location with structured search, full-text search, and analytics. In this chapter, you will gain complete knowledge of how geo-location works for providing the best possible results to the users based on the given criteria. 


  • Geo Point
  • Geo Aggregations
  • Geohashes
  • Geo Shapes 

Learning outcome: Upon the completion of this module you will be able to Aggregate Geo Distance, understand different Geo shapes and aggregate geohash grid, and gain the complete knowledge of Geo points.

These modules teach you the process to search, view, interact with data stored in Elasticsearch indices. This allows you to analyze and visualize data using various tables, charts, and maps. This module will help you learn how to visualize data using Kibana. 


  • Introduction to Kibana
  • Loading Sample Data
  • Installing Kibana 
  • Visualizing your Data
  • Discovering your Data
  • Working with Dashboard 

Learning Outcome: Upon the completion of this chapter you will gain hands-on experience in the concepts such as Kibana installation, Ingesting.Json files into Elasticsearch, creating visualization in different ways, and dashboard summarization. 

In this section, you will be learning how to explore data from the Discover page.  You can access each document in every index that suits the chosen indexed pattern. Here you can also learn the process to submit the search results, search queries, and view documents. This section provides you with complete knowledge for implementing ELK Stack.  


  • Setting the Time Filter
  • Filtering by Field
  • Searching your Data
  • Viewing Field Statistics
  • Viewing Document Data
  • Dashboard
  • Data Visualization
  • Live data analysis with ELK stack 

Learning outcome: Upon the successful completion of this chapter you will gain hands-on expertise in the Time Filter, Creating a Dashboard, and Document Context.

ELK STACK Projects

We at HKR not only provide you with theoretical training but also make you practically knowledgeable by making you work with projects and case studies. Every course we offer includes two real-time projects which provide you with real-time experience. The practical knowledge improves your domain expertise and helps you in clearing the certifications with ease. Project 1: Visualizing a Pandemic Around the World Relationship management, nested objects, scale design, geoshapes, geo hashes, and token normalization are some of the subjects learned in this project. Project 2: ELK Monitoring Using Logstash and Kibana to monitor a web service. Project 3: A Case study on Visualizing the data Tech Analyst: A 9.5-year-old, high-energy IT services firm formed by IITians that offers a complete 360-degree solution to clients all around the world. One of the company's key responsibilities is to analyze large amounts of data. They chose ELK stack, an open source platform with a number of powerful capabilities, for their analysis. Task:       The employee's job is to fetch the relevant data from the source into Logstash, conduct elastic search queries, and then visualize the data using Kibana. Read more

ELK STACK Training Options


  • Interactive sessions
  • Learn by doing
  • Instant doubt resolution
  • Expert's Guidance
  • Industry-ready skills
Batch Start Date Time
Weekday 29-May - 28-Jun 09:30 AM IST
Weekend 2-Jun - 2-Jul 11:30 AM IST
Weekday 6-Jun - 6-Jul 01:30 PM IST


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Our Learners

Harshad Gaikwad

Harshad Gaikwad

Practice Head

I had an insightful experience with HKR Trainings while participating in the ServiceNow ITOM (IT Operations Management) Training online. Engaging in instructor-led sessions, the trainer offered detailed insights into various ServiceNow ITOM modules and practices. Throughout the course, the support team was consistently available, and the trainer adeptly clarified all my inquiries, ensuring a comprehensive understanding of ServiceNow ITOM concepts.
Balaji Gnanasekar

Balaji Gnanasekar

IT Analyst

I had a comprehensive learning journey with HKR Trainings while undertaking the PostgreSQL Training online. Engaging in instructor-led sessions, the trainer delved deep into various PostgreSQL functionalities and best practices. Throughout the training, the support team remained attentive, and the trainer skillfully addressed all my questions, facilitating a solid grasp of PostgreSQL concepts.
Amit Singh

Amit Singh

Technical Lead - Service Now

I had a rewarding experience with HKR Trainings while delving into the ServiceNow ITOM (IT Operations Management) Training online. Engaging in instructor-led sessions, the trainer provided comprehensive insights into various ServiceNow ITOM modules and best practices. Throughout the course, the support team was consistently available, and the trainer adeptly addressed all my queries, ensuring a robust understanding of ServiceNow ITOM concepts.

ELK STACK Online Training Objectives

This ElasticSearch training offered by HKR training will make you industry ready professional by equipping real-world skills. Our expert trainer will make you understand each module of ElasticSearch with detailed explanation. During this ElasticSearch certification course, you will get the knowledge of various modules such as ElasticSearch CRUD API, Mapping, Search process, Advanced searching, Nodes, ELK stack, designing pattern, etc. Upon the completion of this ElasticSearch course, you will gain full confidence to execute any type of tasks in ElasticSearch.    

Upon the successful completion of this ELK training you will be able to: 

  • Gain knowledge of ELK stack with multiple use-cases
  • Learn each individual component in detai
  • lAble to install the stack components
  • Understand the process to load data into ElasticSearch using ELK Stack
  • Using ELK stack to analyze real-time data

ELK Stack enables you to find answers for the following questions: 

  • A number of users signed up this week?
  • What would be perfect to schedule maintenance?
  • Reasons for the slowdown of the database?
  • What is the procedure to search the logs that have inconsistent data in different formats?
  • The process to deal with various TIme Formats?
  • What is the process to search logs that have spread across multiple locations?

Following are the professionals who get benefited from taking this course:

  • Web Administrator
  • Big Data Analytics Engineer
  • System Log Analyst
  • Web Analyst
  • Full Stack Technical Architect
  • Business Analyst
  • Technical Manager

To gain proficiency in ELK Stack one should have a basic knowledge of: 

  • JSON Data Format
  • ​​Restful API
  • ​​SQL​


Each and every class is recorded so if you missed any class you can review the recordings and clarify any doubts with the trainer in next class.

Yes, we don’t assure 100% placement assistance. We are tied up with some corporate companies so when they have a requirement we send your profiles to them.

Yes, we provide demo before starting any training in which you can clear all your doubts before starting training.

Our trainers are real time experts who are presently working on particular platform on which they are providing training.

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