Training: Kibana - Data Analysis with the ELK Stack

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Duration	Price	Location
2 days	1980 € excl. tax/person	Station F, 5 Parvis Alan Turing, 75013 Paris or via videoconference

Satisfaction rate: ★★★★★

5/5 since 2023

Objectives

This two-day Kibana training program begins with an introduction to Kibana and Elasticsearch, followed by an in-depth exploration of data discovery and visualization using Kibana tools, including Lens. Participants will learn how to create simple visualizations and interactive dashboards.

On the second day, the course will cover complex visualizations, how to share data in various formats, and how to adapt and model data. Participants will also delve into Kibana alerts and anomaly detection using machine learning.

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Audience

This training is designed for analysts and professionals who want to use Kibana to visualize and make the most of their data stored in Elasticsearch.

All our training sessions are accessible to people with disabilities.

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Curriculum

Day 1

Introduction to Kibana

• Overview of Kibana
• Relationship between Elasticsearch and Kibana

Searching Data

• Introduction to Discover
• Using Dev Tools
• Filters and Aggregations

Visualizing Data

• Introduction to visualization tools
• In-depth presentation of Lens
• Creating simple visualizations

Interacting with Data

• Creating dashboards
• Making dashboards interactive

Day 2

Complex Visualizations

• Introduction to Maps
• Introduction to Vega

Sharing Data

• Exporting dashboards to PDF or PNG
• Introduction to Canvas

Adapting Data

• Using the ECS schema
• Introduction to runtime fields
• Properly modeling and parsing data

Reacting to Data

• Introduction to Kibana alerts
• An alternative to alerts: Watchers

Machine Learning

• Introduction to anomaly detection in Kibana
• Integrating anomaly-related visualizations into dashboards

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Additional Information

Upcoming Sessions

• Thursday 1st and Friday 2nd August 2024

• Thursday 19th and Friday 20th September 2024

• Wednesday 13th and Thursday 14th November 2024

• Or on demand

Prerequisites

• Laptop computer

Teaching Method

• Presentation and demonstrations 40%
• Practical exercises 40%
• Questions / Answers 20%

Evaluation Method

The training includes between 8 and 12 sessions of practical exercises. The participant’s progress during and at the end of the training will be assessed based on their success level in these practical exercises.

Instructors

• Vincent Brehin
  • Expert Consultant in Solr, Elasticsearch and OpenSearch - LinkedIn
• Benjamin Dauvissat
  • Expert Consultant in Solr, Elasticsearch and OpenSearch - LinkedIn
  • blog articles
• Aline Paponaud
  • Expert consultant in Elasticsearch and OpenSearch - LinkedIn
• Lucian Precup
  • Technical Director and Principal Consultant - LinkedIn
  • blog articles

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For more information, feel free to contact us.

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