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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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

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