ELK Stack Training & Certification

An integrated package of Elasticsearch, Logstash, and Kibana

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Key Highlights

  • Self-paced
  • Practical Assignments
  • Lifetime Access to Learning Management System
  • 24x7 Expert Support
  • Course Completion Certificate
  • Online Forum for Discussions

Course Price

$199.00 $399.00

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Available Courses Delivery

This course is available in the following formats:

Self Paced (On-Demand)

24x7 access to instructor-led videos and practical activities
Convenient training that syncs with your schedule
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$399  $199

Course Overview

This course has been designed to train learners in all the three open-source products, namely, Elasticsearch, Logstash, and Kibana. It introduces learners to tools and techniques for running and functioning their own search cluster using Elasticsearch, Logstash, and Kibana. It educates about applying Logstash to load data into Elasticsearch, running various search operations and perform data visualization with the help of Kibana.

Course Objectives

  • Educate about the fundamentals of ELK stack
  • Train in the various components of ELK stack separately
  • Teach about installing the stack components in system
  • Familiarize learners about using Logstash to load data into Elasticsearch
  • Train in developing data-loaded visualization with the help of Kibana
  • Teach about analyzing real-time data with ELK stack
  • Train in comparing CPU time spent using Metric Beat

Career Benefits

  • Great remuneration as an ELK Professional
  • Considered an expert in dealing with different types of time formats, scheduling maintenance, and searching logs at various locations
  • Multi-industry opportunities


  • Prior knowledge of SQL
  • Good knowledge of JSON Data Format
  • Basic understanding of Restful API

Who should take up?

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

Course Content

  • Introduction to ELK stack
  • Why ELK?
  • Architecture of ELK
  • High level overview of o
  • 1 Elastic Search
  • 2 Logstash
  • 3 Kibana
  • Introduction to Logstash
  • Installing Logstash
  • Configuring a log file
  • Stashing your First Event
  • Parsing Logs with Logstash
  • Stitching together Multiple Input and Output
  • Plugins
  • Execution Model
  • Elastic Search Overview
  • Installing and running Elastic Search
  • Indexing Documents
  • Retrieving a Document
  • Searching a Document
  • Structured Search
  • Full text Search
  • Complicated Search
  • Phrase Search
  • Highlighting our Search
  • Multi-field Search
  • Proximity Matching
  • Partial Matching
  • Getting Started with languages
  • Identifying Words
  • Normalizing Tokens
  • Reducing Words to their Root Form
  • Stopwords: Performance versus Precision
  • Synonyms
  • Typos and Misspellings
  • High Level Concepts
  • Getting started with Aggregation
  • Time Analysis
  • Filtering Queries and Aggregations
  • Sorting Multivalue Buckets
  • Approximate Aggregation
  • Doc Values and Field Data
  • Elastic Search vs RDBMS
  • Handling Relationships
  • Nested Objects
  • Parent-Child Relationship
  • Designing for Scale
  • Geo Points
  • Geohashes
  • Geo Aggregations
  • Geo Shapes
  • Introduction to Kibana
  • Installing Kibana
  • Loading Sample Data
  • Discovering your Data
  • Visualizing your Data
  • Working with Dashboard
  • Setting the Time Filter
  • Searching your Data
  • Filtering by Field
  • Viewing Document Data
  • Viewing Document Context
  • Viewing Field Statistics
  • Data Visualization
  • Dashboard


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