Elasticsearch Engineer II

Training

Course Summary

This instructor-led course is designed for Elasticsearch professionals who need to expand their skill set for developing and managing powerful search and analytics solutions with the Elastic Stack. You will learn advanced cluster management techniques, best practices for index lifecycle management, tips for scaling your cluster, considerations for going into production, and more. You will also dig into field and document modeling, fixing data with Painless scripting, cross-cluster search, cross-cluster replication, and more.

After completing this course, you will be prepared to attempt the Elastic Certified Engineer exam. 

Get a sneak peek of this course by checking out our Understanding Multi-fields in Elasticsearch Mappings webinar.

Topics Covered

  • Elasticsearch data modeling
  • Elasticsearch data processing
  • Elasticsearch from dev to production
  • Elasticsearch cluster deployment
  • Elasticsearch nodes and index management
  • Elasticsearch advanced tips and tricks

Course Details

Promotions

Save 50% on a second virtual training seat. Register a friend or sign up for multiple classes.

Receive a free Elastic Certified Engineer exam when you attend Elasticsearch Engineer I and Engineer II in March or April.

Course Outline

Elasticsearch Engineer II - Outline

Audience

Experienced Elasticsearch professionals who need to expand their knowledge of Elasticsearch cluster management and application development.

Duration

16 hours (available as 2 or 4 day classes)

Prerequisites

Complete the Elasticsearch Engineer I course, or possess equivalent Elasticsearch knowledge

Requirements

  • Mac, Linux, or Windows
  • Stable internet connection (virtual classroom)
  • Latest version of Chrome or Firefox (other browsers not supported)
  • Disable any ad blockers and restart your browser before class

Upcoming Classes — Elasticsearch Engineer II

  • Virtual

    Apr 6 - Apr 9, 2020

    9:00 am - 1:00 pm PDT

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  • Virtual

    Apr 15 - Apr 16, 2020

    8:00 am - 4:00 pm PDT

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  • Virtual

    Apr 22 - Apr 23, 2020

    9:00 am - 5:00 pm PDT

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  • Virtual

    May 4 - May 7, 2020

    9:00 am - 1:00 pm PDT

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