Elastic Training Curriculum Details

Elasticsearch Training

Elasticsearch

This intensive two-day hands-on Elasticsearch training course is designed to help working technology professionals master the essential aspects and operations of Elasticsearch. The course covers all of the key concepts and administrative tasks necessary to deploy and use a production Elasticsearch system. Attendees will learn how to search, aggregate and analyze large volumes of real-time data using Elasticsearch’s highly available schema-less platform.

The distributed, horizontally-scaled architecture of Elasticsearch is covered along with best practice deployment and operations patterns. Students will gain familiarity with the Elasticsearch query DSL and various APIs including Document, Search and Indices. Attendees will leave the training with a clear understanding of Elasticsearch and how to use it to extract high value data insights over large scale streaming datasets in real time.

This is an instructor-led training (ILT) class and is available for onsite and online delivery.

Elasticsearch Advanced

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.

This is an instructor-led training (ILT) class and is available for onsite and online delivery.

ELK STACK Introduction

This 2 day hands on training course is designed to give attendees an introductory understanding of the ELK stack (Elasticsearch, Logstash, Kibana) as it relates to analysis and aggregation with a specific focus on Kibana. Together, these three different open source products are most commonly used in log analysis, web analytics, security, and business intelligence. Upon completion students will have manually installed and configured an ELK system as well as gained direct experience in manipulating the Kibana interface.

In this course participants will learn how to install, configure, and operationalize the ELK stack with a specific focus on learning Kibana. The ELK Stack is a collection of three open-source products — Elasticsearch, Logstash, and Kibana — from Elastic. Elasticsearch is a NoSQL database that is based on the Lucene search engine. Logstash is a log pipeline tool that accepts inputs from various sources, executes different transformations, and exports the data to various targets. Kibana is a visualization layer that works on top of Elasticsearch.

This is an instructor-led training (ILT) class and is available for onsite and online delivery.

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