Elastic Stack Data Administration I - Virtual

Elastic Stack Data Administration I - Virtual

Summary

This hands-on, instructor-led in-classroom or virtual classroom course guides you through all the Elastic Stack components: Beats, Logstash, Elasticsearch, and Kibana, and explains how they interact with each other.

Description

The main focus of the course is on data administration, a key strategic role of many modern companies. Data administration starts by extracting data with tools like Beats and Logstash, which allows you to reliably collect different types of data (e.g. metrics, application logs, and tweets). After the data is collected, it is normalized, enriched, and finally stored in Elasticsearch to be searched and analyzed using Kibana. In addition to walking through the described process with lectures and hands-on labs, we will also discuss common pitfalls and what is the best architecture for various use cases.

Duration

4 Days

Objectives

This instructor-led in-classroom or virtual classroom course focuses on how to use the Elastic Stack to better administrate your data improving insights and performance. You will learn how to use Beats to collect and analyze system, service, and network data. You will ingest, parse, enrich and analyze CSV and log events with Filebeat, Logstash and the Elasticsearch Ingest Node. This course also covers how to deploy different architectures for different use cases. Through a series of extensive hands-on labs, you will ingest data into Elasticsearch and analyze it in Kibana as you work your way through the various skills needed of an Elastic Stack Data Administrator.

We recommend taking this course with Elasticsearch Operations I

Bundle discounts apply when registering for multiple courses. Please see our course matrix

Audience

Data Architects, Data Administrators, DevOps and System Administrators

4 Days | Class is scheduled for 4 consecutive days for 4 hours. Available in different time zones.

Prerequisites

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

  • We require participants to download the latest version of Chrome or Firefox. (Safari isn’t 100% supported in the virtual environment)
  • The virtual classroom uses lots of JavaScript. We recommend that you disable any ad-blockers (some interfere with the virtual classroom) and that you restart your Web Browser before logging in
  • Computer with a stable Internet connection
  • Mac, Linux OS, or Windows 7 or later
  • Onsite Training

    For groups of three or more

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    Public Training

    US Central Standard Time

    US Pacific Standard Time

    Central European Time

    APJ Hong Kong Time

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    They Took This Instructor Led Training

      We recommend taking this course with Elasticsearch Operations I. Bundle discounts apply when registering for multiple courses. Please see our course matrix

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