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Databases & Data EngineeringUdemy2023-12 Edition100% Free Video Course

Elastic 8 Project: Monitoring with Elasticsearch & Kibana

Elastic 8 Project: Monitoring with Elasticsearch & Kibana, This course serves as a comprehensive guide to mastering the Elastic Stack, a powerful suite of tools designed for real-time data searching, logging, and analytics. This course is structured to cater to both beginners and experienced professionals who seek to deepen their understanding and practical skills in Elastic Stack components. The course begins with an introduction to the Elastic Stack, providing an overview of its components and potential use cases. This foundational knowledge sets the stage for a more in-depth exploration of Elasticsearch, the heart of the Elastic Stack. Students learn about data ingestion, document indexing, and essential CRUD (Create, Read, Update, Delete) operations. Special attention is given to data modeling, mapping, and the intricacies of analyzers, tokenizers, and filters. Practical labs, such as installing and configuring Elasticsearch, are integral to the learning experience. These hands-on sessions ensure that students can apply their theoretical knowledge in real-world scenarios. The course also covers Beats, specifically Metricbeat, including its installation and configuration, accompanied by a lab and slide overviews for a comprehensive understanding. The Kibana module introduces students to this powerful data visualization tool. It includes steps for installation, basic configuration, and creating dashboards. This section is pivotal for students to learn how to visualize and analyze data effectively, illustrated through examples like

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(1 reviews)
12.2 Hours On-Demand
Created by Senior Industry Specialist
Uploaded Sep 2026
English
Elastic 8 Project: Monitoring with Elasticsearch & Kibana
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Course Features:
12.2 hours on-demand video
51 complete lectures
1 downloadable project zip file(s)
Streamable on mobile, tablet & desktop
Self-paced curriculum with progress tracking
Direct MP4 downloads & offline video access
Verified course archives hosted on cloud infrastructure.

What You'll Master in this Course

Master practical concepts and hands-on skills in Databases & Data Engineering
Complete 51 video lectures with real-world examples and workflows
Build confidence with step-by-step instructions from industry experts
Access downloadable course resources and exercise files

Course Curriculum51 Lectures

8 sections • 12.2 hours total length

Prefer offline learning? Download all 51 video lectures and project files for free.
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Requirements

  • Operating System Knowledge: Comfort with using either Windows, Linux, or macOS, as the course may involve installation and configuration tasks
  • Basic Command Line Skills: Ability to use the command line or terminal for executing simple commands
  • Computer System: A computer with sufficient RAM (at least 8GB recommended) and processing power to install and run Elastic Stack components
  • A Learning Mindset: Eagerness to learn and experiment with new technologies

Description

Elastic 8 Project: Monitoring with Elasticsearch & Kibana, This course serves as a comprehensive guide to mastering the Elastic Stack, a powerful suite of tools designed for real-time data searching, logging, and analytics. This course is structured to cater to both beginners and experienced professionals who seek to deepen their understanding and practical skills in Elastic Stack components. The course begins with an introduction to the Elastic Stack, providing an overview of its components and potential use cases. This foundational knowledge sets the stage for a more in-depth exploration of Elasticsearch, the heart of the Elastic Stack. Students learn about data ingestion, document indexing, and essential CRUD (Create, Read, Update, Delete) operations. Special attention is given to data modeling, mapping, and the intricacies of analyzers, tokenizers, and filters. Practical labs, such as installing and configuring Elasticsearch, are integral to the learning experience. These hands-on sessions ensure that students can apply their theoretical knowledge in real-world scenarios. The course also covers Beats, specifically Metricbeat, including its installation and configuration, accompanied by a lab and slide overviews for a comprehensive understanding. The Kibana module introduces students to this powerful data visualization tool. It includes steps for installation, basic configuration, and creating dashboards. This section is pivotal for students to learn how to visualize and analyze data effectively, illustrated through examples like

Instructor

S

Senior Industry Specialist

Specialist in Databases & Data Engineering

Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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