Overview of Course

Our Elasticsearch Training course is designed to provide comprehensive knowledge of Elasticsearch, a popular search and analytics engine. You will learn the basics of Elasticsearch, its architecture, indexing and querying data, and more advanced topics like clustering, mapping, and analytics. This course is ideal for anyone interested in mastering Elasticsearch.

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Course Highlights

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Comprehensive course material

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Hands-on learning approach

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Live projects and real-world scenarios

Key Differentiators

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    Personalized Learning with Custom Curriculum

    Training curriculum to meet the unique needs of each individual

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    Trusted by over 100+ Fortune 500 Companies

    We help organizations deliver right outcomes by training talent

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    Flexible Schedule & Delivery

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    Real-world Projects

    We work with experts to curate real business scenarios as training projects

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Skills You’ll Learn


Understand the basics of Elasticsearch


Learn to install and configure Elasticsearch


Index and query data in Elasticsearch


Master Elasticsearch clustering and mapping techniques


Gain knowledge of Elasticsearch analytics and monitoring

Training Options

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1-on-1 Training

On Request
  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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Corporate Training

On Request
  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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Course Reviews


  • What is Elasticsearch?
  • Terminology in Elasticsearch (Elasticsearch cluster, node, shard and replicas) Difference between Search Engine and Database
  • Installation of Elasticsearch standalone node and Kibana
  • The architecture of Elasticsearch 

  • 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

  • Exploring feature in Kibana and alternatives
  • Adding sample data to Kibana
  • Discover – searching data
  • Visualization
  • Understanding the KPI importance and Creating dashboard
  • Preparing the dashboard and sharing the dashboard
  • Plugin Development – Brief Idea

  • Metric Aggregations
  • Bucket Aggregations
  • Optimizing Aggregation Query

  • Match
  • Match Phrase
  • Query String
  • Term
  • Terms
  • Regex Query

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

  • Different data types in elasticsearch
  • Difference between keyword and text
  • Multifield mapping
  • Creating mapping
  • Data Modelling

  • Configuring the Logstash to consume data from several source
  • Input Plugin, Filter Plugin and Output Plugin
  • Difference between Logstash and filebeat

  • Reindexing the data
  • Planning and Configuration Strategy
  • Best setting to have less downtime
  • Security in ES cluster
  • Improving Indexing and Search Experience
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Target Audience:

  • Software Developers
  • Data Scientists
  • IT Professionals
  • Data Analysts
  • Anyone interested in learning Elasticsearch
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  • Basic knowledge of Linux and its commands
  • Basic understanding of JSON
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Benefits of the course:

  • Master Elasticsearch from scratch
  • Hands-on learning with real-world projects
  • Become an Elasticsearch expert
  • Flexible schedule with 24x7 online support
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Exam details to pass the course:

  • There is no exam to pass the course.
  • You will receive a certificate of completion upon finishing the course.
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Certification path:

  • Elastic Certified Engineer
  • Elastic Certified Analyst
  • Elastic Certified Observability Engineer
  • Elastic Certified Security Analyst
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Career options:

  • Elasticsearch Developer
  • Elasticsearch Administrator
  • Elasticsearch Architect
  • Data Analyst
  • Data Scientist

Why should you take this course from Skillzcafe:

Why should you take this course from Skillzcafe:
  • Bullet Icon Expert trainers with extensive industry experience
  • Bullet Icon Hands-on learning with real-world projects
  • Bullet Icon Flexible schedule with 24x7 online support
  • Bullet Icon Comprehensive course material
  • Bullet Icon Affordable pricing


Elasticsearch is a popular search and analytics engine used to search and analyze large datasets in real-time.

No, programming knowledge is not required. However, basic knowledge of Linux and JSON is recommended.

Yes, you will receive a certificate of completion upon finishing the course.

You can become an Elasticsearch Developer, Administrator, Architect, Data Analyst, or Data Scientist.

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