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Elasticsearch Advanced

Learn how to put the latest open source technology into practice with hands-on training, delivered by industry experts, aligned to your desired business outcomes

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2 Days

Available On-Site

Available Virtually

Open Enrollments Available


This intensive two-day hands-on course is designed to help working technology professionals master the advanced aspects and operations of Elasticsearch. The first part of the course covers deploying a production cluster, sizing, managing nodes and cluster state, shard management, backup and restore, monitoring, and rolling upgrades and restarts.

The second part covers a deeper evaluation of the Lucene backbone for Elasticsearch, CRUD, text analysis, Mappings, and deeper aspects of search and search internals. Attendees will have setup a multi-node cluster, conducted rolling restarts, backup and restore, as well as explore the details of node types, shard awareness, and Lucene management. In addition, labs will also cover using Sense, Marvel, write consistency, search internals, and search best practices. This course is for those who want to understand the challenges of running ES in Production as well as developers and data managers who want to go deeper with search, queries, filters and mappings.


Available for Instructor-Led (ILT) in-person/onsite training or Virtual Instructor-Led training (VILT) delivery; Open Enrollment options may be available.

Who Should Attend

Information Technology (IT) and Quality Assurance (QA) Staff, Technical Managers, Developers, DevOps and Build personnel

What Attendees will learn

This course is designed to provide experienced Elasticsearch users with a deeper more detailed look at two areas of Elasticsearch specifically Operations and Data Manipulation. Learning modules include:

  • Elasticsearch cluster setup, configuration, and scaling
  • Deep dive into data importation, indexing, search, and Lucene
  • Production monitoring and operational best practices


Students should have familiarity with programming concepts. Prior use of Elasticsearch or completion of an intro course to Elasticsearch is recommended. Comfort using the terminal or command line is recommended.