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LinkedIn Learning

Elasticsearch in Depth

via LinkedIn Learning

Overview

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Learn functions of Elasticsearch that go beyond simple full-text search.

Syllabus

Introduction
  • Much more than full-text searches
1. Getting Started
  • The Elasticsearch stack
  • Installing Elasticsearch and Kibana locally
  • Executing basic CRUD-like data operations
  • Using Elastic SQL
  • Basic Elastic schema and data design
  • Document database schema topics
2. Specialized Data Type and Query Support
  • Finding objects with GeoShape
  • Storing data and searching complex nested data
  • Creating parent/child relationships between documents
  • Combining multiple fields to simplify searching
  • Using Elasticsearch pipelines to enhance data
  • Storing data with varying structures using flatten
3. Advanced Queries
  • Filtering, matching, and scoring explained
  • Retrieving large result sets using the Scroll API
  • Performing aggregations
  • Indexing templates to define index properties
  • Implementing expiring data with lifecycle management
  • Working with index aliases
4. Modifying Data
  • Updating documents using scripting
  • Saving scripts for reuse
  • Updating by query
  • Using document versioning
  • Managing long-running operations using Task API
Conclusion
  • Next steps

Taught by

Edward Capriolo

Reviews

4.5 rating at LinkedIn Learning based on 71 ratings

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