Training: OpenSearch for software developers

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Duration	Price	Location
3 days.	2100 € excl. tax/person	Station F, 5 Parvis Alan Turing, 75013 Paris or via videoconference

Satisfaction rate: ★★★★½

4.4/5 since 2023

Objectives

This training provides the fundamentals for the installation, configuration, architecture, and advanced operation of OpenSearch. The training includes a theoretical part intended for operators, administrators, and application developers with OpenSearch, as well as practical exercises and question-and-answer sessions focused on specific issues for each use case.

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Target

This training is aimed at developers and lead developers who want to set up, replace, or enhance an advanced search solution in their applications.

All our courses are accessible to people with disabilities.

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Curriculum

Introduction to OpenSearch

• Glossary
• Overview of OpenSearch
• Architecture and Key Concepts
• Usage and Use Cases
• Search
• Relevance
• Data Indexing
• Data Modeling
• Ensuring Scalability with OpenSearch

Installation, Configuration, and Operation of OpenSearch

• Installation, Configuration, and Deployment
• Scalability and High Availability
• Monitoring
• Security
• Backup and Restoration
• Administration Interfaces and APIs
• Configuration Files
• Cluster Configuration
• Configuration APIs
• Plugins

Mappings, Settings, Text Analysis, and Data Modeling

• Configuring an OpenSearch Index
• Fields and Schema Design
• Text Analysis
• Indexing and Data Operations

Indexing in OpenSearch

• Document, Index, and Field Type Overview
• Document Indexing with the REST API
• Document Updates, Deletion, and Retrieval
• Bulk API for Mass Indexing
• Data Transformation for Indexing
• Partial Updates
• Reindexing
• Deduplication
• Measuring and Improving Indexing Performance

OpenSearch Search and Queries

• Using the Search API
• Query DSL (Domain-Specific Language)
• Simple and Multi-Match Queries
• Result Pagination and Sorting
• Query Improvement
• Controlling Results and Relevance
• Aggregations

Parsers and Advanced Queries

• Boolean Queries and Filtering
• Faceted Search and Aggregations
• Geo-Spatial Search
• Highlighting and Fuzzy Search
• Joins and Nested Documents
• Functions

Practical Cases

• Implementing a People Search Service
• Implementing an Auto-Completion Service
• Implementing a “Did You Mean” Service
• Implementing an Approximate Search Service

Integrations of Machine Learning Technologies

• Introduction to NLP (Natural Language Processing)
• NLP and OpenSearch
• Machine Learning Framework
• Neural Search Plugin

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More information

Next sessions

• August 21st to 23rd, 2024
• October 16th to 18th, 2024
• December 3rd to 5th, 2024

• Or on demand

Prerequisites

• Basic knowledge of HTTP and REST
• Laptop
• IDE and command-line terminal

Teaching method

• Presentation and demonstrations 40%
• Hands-on labs 40%
• Q&A 20%

Speakers

• Vincent Brehin
  • Expert consultant in Solr, Elasticsearch and OpenSearch - LinkedIn
• Benjamin Dauvissat
  • Expert Consultant in Solr, Elasticsearch and OpenSearch - LinkedIn
  • blog articles
• Aline Paponaud
  • Expert consultant in Elasticsearch and OpenSearch - LinkedIn
• Lucian Precup
  • Technical director and principal consultant - LinkedIn
  • blog articles

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For more information, feel free to contact us.

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