OpenSearch Beginner Course Overview

OpenSearch Beginner Course Overview

### OpenSearch Beginner Course Overview

Unlock the power of OpenSearch with our comprehensive Beginner Course designed to make you proficient in core concepts like indexing, sharding, mapping, and search relevance. Over a span of just 2 days, you'll learn to index and retrieve data effectively using APIs, understand query parsing, and master various types of queries and aggregations.

The course includes hands-on labs to reinforce your learning: performing CRUD operations, using the Bulk API, setting up text analyzers, and configuring search parameters.

By the end of this course, you’ll have a solid grasp of OpenSearch fundamentals and practical skills to manage and optimize data searches.

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  • Live Training (Duration : 16 Hours)
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  • Live Training (Duration : 16 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

Prerequisites for OpenSearch Beginner Course:


  • Basic understanding of containerization.
  • Comfort using a terminal/command line interface.

These foundational skills are essential for you to successfully follow along with the course material, participate in hands-on labs, and fully benefit from the learning experience.


Target Audience for OpenSearch Beginner

Introduction The "OpenSearch Beginner" course is designed for IT professionals aiming to develop foundational knowledge in OpenSearch, including indexing, querying, and data aggregation.


Target Audience


  • Data Analysts
  • DevOps Engineers
  • System Administrators
  • Software Developers
  • Database Administrators
  • IT Managers
  • Technical Support Engineers
  • Business Intelligence Analysts
  • Cloud Infrastructure Specialists
  • Technical Consultants


Learning Objectives - What you will Learn in this OpenSearch Beginner?

OpenSearch Beginner Course Overview

The OpenSearch Beginner course at Koenig Solutions offers a detailed introduction to core OpenSearch concepts, including data indexing, search APIs, text analysis, and clustering essentials. Gain hands-on experience with CRUD operations, query filtering, aggregations, and more.

Learning Objectives and Outcomes

  • Understand Core Concepts: Learn about indexing, documents, sharding, replication, mapping, and search relevance.
  • Data Indexing and Retrieval: Be able to index data into OpenSearch and efficiently retrieve it using search and real-time get APIs.
  • Query Mechanics: Grasp the fundamentals of query parsing, analysis, tokenization, and various query types.
  • Text Analysis: Utilize built-in and custom analyzers, char filters, tokenizers, and token filters to enhance data searchability.
  • Aggregations: Master different types of OpenSearch aggregations, including metrics, multi-bucket, and nested aggregations.
  • CRUD Operations: Perform Create, Read, Update, and Delete (CRUD) operations seamlessly.
  • Bulk API Usage: Effectively use the Bulk API for batch indexing and data storage.
  • Sorting and Pagination: Learn to configure field selection, sorting, and pagination for effective

Target Audience for OpenSearch Beginner

Introduction The "OpenSearch Beginner" course is designed for IT professionals aiming to develop foundational knowledge in OpenSearch, including indexing, querying, and data aggregation.


Target Audience


  • Data Analysts
  • DevOps Engineers
  • System Administrators
  • Software Developers
  • Database Administrators
  • IT Managers
  • Technical Support Engineers
  • Business Intelligence Analysts
  • Cloud Infrastructure Specialists
  • Technical Consultants


Learning Objectives - What you will Learn in this OpenSearch Beginner?

OpenSearch Beginner Course Overview

The OpenSearch Beginner course at Koenig Solutions offers a detailed introduction to core OpenSearch concepts, including data indexing, search APIs, text analysis, and clustering essentials. Gain hands-on experience with CRUD operations, query filtering, aggregations, and more.

Learning Objectives and Outcomes

  • Understand Core Concepts: Learn about indexing, documents, sharding, replication, mapping, and search relevance.
  • Data Indexing and Retrieval: Be able to index data into OpenSearch and efficiently retrieve it using search and real-time get APIs.
  • Query Mechanics: Grasp the fundamentals of query parsing, analysis, tokenization, and various query types.
  • Text Analysis: Utilize built-in and custom analyzers, char filters, tokenizers, and token filters to enhance data searchability.
  • Aggregations: Master different types of OpenSearch aggregations, including metrics, multi-bucket, and nested aggregations.
  • CRUD Operations: Perform Create, Read, Update, and Delete (CRUD) operations seamlessly.
  • Bulk API Usage: Effectively use the Bulk API for batch indexing and data storage.
  • Sorting and Pagination: Learn to configure field selection, sorting, and pagination for effective