About the course
This intensive Advanced Elasticsearch Training Course is designed for data scientists, engineers, and analysts who already possess a foundational understanding of Elasticsearch and are ready to unlock its full potential. Delve deep into advanced concepts and practical techniques for building robust, scalable, and high-performing Elasticsearch clusters.
Through hands-on labs and real-world scenarios, you'll master complex querying strategies, optimise indexing for speed and efficiency, implement sophisticated data modeling, and explore advanced cluster management and monitoring. Learn to troubleshoot common performance bottlenecks, secure your Elasticsearch environment, and leverage its powerful analytical capabilities to gain deeper insights from your data.
By the end of this course, you'll be equipped with the advanced skills to confidently design, implement, and manage sophisticated Elasticsearch solutions for demanding data-driven applications.
Online and in-house face-to-face options are available - as part of a wider customised training programme, or as a standalone workshop, on-site at your offices or at one of many flexible meeting spaces in the UK and around the World.
-
-
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.
-
Delegates should have attended our Elasticsearch training course or have equivalent skills through commercial implementation of Elasticsearch.
-
This advanced Elasticsearch course is available for private / custom delivery for your team - as an in-house face-to-face workshop at your location of choice, or as online instructor-led training via MS Teams (or your own preferred platform).
Get in touch to find out how we can deliver tailored training which focuses on your project requirements and learning goals.
-
Data Modelling
Client side Joins
Denormalisation
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 API
Delete by Query
Percolator
Search in reverse
Examples and Use cases
Diagnosing Issues
Cat API’S
Cluster API’s
Slow Logs
Pre-flight checks
System configurations
Elasticsearch configurations
Tuning for Speed
Tuning for index/search speed
Cat API’S
Cluster API’s
Slow Logs
-
https://www.elastic.co/elasticsearch - home of the Elastic Stack
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl.html - Query DSL docs
Trusted by



