Elastic Stack Data Administration I - Virtual

Elastic Stack Data Administration I - Virtual

Upcoming Classes

No classes have been scheduled, but you can always Request a Quote.


This instructor-led course focuses on how to use the Elastic Stack to turn raw data into valuable insights, a top priority for data administrators.


Looking at how each component of the Elastic Stack is used during the data lifecycle, you will first learn how to reliably collect and normalize data using Beats and Logstash. The data is then ingested into Elasticsearch for enrichment and analysis before being visualized and explored within Kibana. In addition to walking through data administration with lectures and hands-on labs, we will also discuss common pitfalls and architecture recommendations for various use cases.

Note: This course is also available in-classroom.

Topics Covered
  • Elastic Stack Data Administration Concepts
  • Systems Metrics
  • Services Metrics
  • Ingesting File Data
  • Data Processing
  • Data Enrichment
  • Data Store Integration
  • Network Monitoring & Tapping
  • Data Ingestion Architectures
  • Triage And Maintenance
Download Course Outline


4 Days


Data Architects, Data Administrators, System Administrators, DevOps


  • No prior knowledge of the Elastic Stack required
  • Comfort using the terminal or command line recommended

Setup Requirements

  • Laptop with Wi-Fi connectivity (In-Classroom Only)
  • Mac, Linux, or Windows
  • Latest version of Chrome or Firefox (Safari is not 100% supported)
  • Due to virtual classroom JavaScript requirements, we recommend that you disable any ad-blockers and restart your browser before class.

Additional Notes

Virtual Classroom Information
This virtual classroom training is taught over 4 consecutive days for 4 hours per day. Classes are offered in the morning and afternoon across different time zones. Open a specific offering (listed at the top of the page) to see the hours in which it will be held.

We encourage participants to set up their systems prior to logging into the training environment the first day of the class. We also encourage being logged into the virtual classroom 15 minutes prior to the start of class each day.

General Training Information
Have training questions? Review our FAQ or email us.