Elasticsearch in Depth
1h 27mIntermediate2023-03-27
Authors
Edward Capriolo
Technologist, Author, Speaker
Course details
With its ability to index and search documents using plain text, Elasticsearch has become one of the most popular and widely adopted search engines. In this course, Edward Capriolo goes beyond the basics of what Elasticsearch can do. Edward covers specialized data type and query support—like using pipelines to enhance data and combining fields to simplify searching. He shows you how to execute advanced queries like aggregations and working with index aliases, and explains language for updating and modifying data. If you’re ready to take a deeper dive into indexing and searching in Elasticsearch, join Edward in this course.
Skills covered
Elastic StackData AnalysisData ScienceBusiness Analysis and StrategyBusiness Software and ToolsOpen SourceOne-Off
Concepts
Introduction
- Much more than full-text searches
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
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
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
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