Introduction to Elasticsearch Training

Live Online & Classroom Enterprise Training

Learn the fundamentals of Elasticsearch, including installation, architecture, indexing, searching, and basic cluster operations. This course helps you understand how Elasticsearch powers modern search and analytics solutions.

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What is Introduction to Elasticsearch Training about?

This course provides a foundational understanding of Elasticsearch and its role in modern data search and analytics. Participants will learn how Elasticsearch stores, indexes, and retrieves data efficiently. The course covers core concepts such as clusters, nodes, indices, documents, and shards, along with hands-on exposure to querying, filtering, and basic performance optimization techniques.

What are the objectives of Introduction to Elasticsearch Training ?

Understand Elasticsearch architecture and components
Learn how indexing and document storage works
Perform basic and advanced search queries
Understand cluster and node operations
Learn basic performance and monitoring concepts

Who is Introduction to Elasticsearch Training for?

Developers working with search-driven applications
DevOps and Cloud Engineers
Data Engineers and Analysts
System Administrators
IT professionals exploring search and analytics tools

What are the prerequisites for Introduction to Elasticsearch Training?

Prerequisite:

Basic understanding of databases and data storage
Basic knowledge of REST APIs
Familiarity with JSON format
Basic Linux or command-line knowledge
Basic programming knowledge

Learning Path:

Elasticsearch Fundamentals
Data Indexing and Document Management
Search Queries and Filtering
Cluster and Node Management
Monitoring and Performance Basics

Related Courses:

ELK Stack Fundamentals
Logstash and Data Pipeline Fundamentals
Kibana Visualization and Dashboarding
Advanced Elasticsearch Administration

Available Training Modes

Live Online Training

2 Days

Course Outline Expand All

Expand All

Module 1: Introduction to Elasticsearch

What is Elasticsearch?

Use Cases and Features

Overview of the ELK Stack

Architecture and Core Concepts

Installing and Running Elasticsearch

Module 2: Getting Started

Cluster, Node, Index, Shards, and Replicas

Basic Elasticsearch Configuration

Indexing Documents

Retrieving Documents

Elasticsearch REST API Basics

Module 3: Mapping and Indexing

Understanding Mapping and Data Types

Dynamic vs Explicit Mapping

Custom Analyzers and Tokenizers

Index Templates

Updating Mappings

Module 4: Searching and Querying

Search APIs and Lucene Query Syntax

Query DSL (Domain Specific Language)

Match, Term, Range, and Boolean Queries

Filtering and Sorting Results

Pagination and Relevance Scoring

Module 5: Aggregations and Analytics

Introduction to Aggregations

Bucketing and Metrics

Nested Aggregations

Date Histograms and Range Aggregations

Pipeline Aggregations

Module 6: Working with Kibana

Installing and Configuring Kibana

Discover, Visualize, Dashboard

Dev Tools and Console

Visualizing Aggregated Data

Module 7: Index Management and Performance Tuning

Index Lifecycle Management (ILM)

Shard Allocation and Rebalancing

Segment Merging

Caching Mechanisms

Best Practices for Performance

Module 8: Monitoring and Troubleshooting

Monitoring Cluster Health

Logging and Auditing

Common Errors and Fixes

Slow Log Analysis

Using Elasticsearch APIs for Debugging

Module 9: Security and Access Control

Elasticsearch Security Features

Authentication and Authorization (RBAC)

TLS/SSL Configuration

Secure Access via API

Integrating with LDAP/Active Directory

Module 10: Advanced Topics

Geo Queries and Geo Aggregations

Integrating with Python, Java, etc.

Building Search Applications

Who is the instructor for this training?

The trainer for this Introduction to Elasticsearch Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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