Advanced Elasticsearch Training Course

Who should attend

This course is aimed at Data Scientists, Analysts, Software Developers, Database Developers, Data Warehouse Managers and Business Intelligence Specialists, Software Architects who have already gained some exposure to building Elasticsearch solutions.

Prerequisites

Delegates should have attended our Elasticsearch training course or have equivalent skills through commercial implementation of Elasticsearch.

On-site

If you are interested in custom / on-site advanced Elasticsearch training, either as a standalone course or as part of a Data Science training programme / graduate intake scheme, please feel free to get in touch.

We can take into account your project criteria / data types, your team's existing technical skills, and specific topics of interest to customise the most relevant and focussed course for you.

Data Modelling

• Client side Joins
• Denormalization
• Nested
• Parent and Child

Complex Searches

• Function Score
• Span Queries
• Boosting
• More Like This

Architecture Best practises

• Node types
• Node specs
• Architecture Diagram

Sizing and Capacity Planning

• No of shards
• Shard size
• Retention
• index frequency
• Hot and Warm Architecture

Search Types

• _search
• search_after
• Scroll

Advance Aggregations

• Pipeline aggregations

Reindexing Strategies

• Update by Query
• Reindex
• Delete by Query

Percolator

• Search in reverse
• Examples and Use cases

Diagnosing Issues

• Cat API’S
• Cluster API’s
• Slow Logs

Preflight checks

• System configurations,
• Elasticsearch configurations

Tuning for Speed

• Tuning for index/search speed
• Cat API’S
• Cluster API’s
• Slow Logs