Udemy - Mastering Elasticsearch From Basics to Certification

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Free Download Udemy - Mastering Elasticsearch From Basics to Certification
Published: 3/2025
Created by: Eraste AKANDE
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 62 Lectures ( 7h 29m ) | Size: 4 GB

Learn to manage Elasticsearch from A to Z and earn your Elastic Engineer certification.
What you'll learn
Mastering Elasticsearch from A to Z, from installation to advanced administration
Install and configure the Elastic Stack (Elasticsearch, Kibana, and more)
Index, search, and efficiently manipulate data using mappings and ingest pipelines
Optimize search queries with aggregations, analyzers, and transformations
Implement advanced index management strategies (ILM, reindexing, cross-cluster replication)
Secure and manage an Elasticsearch cluster to ensure performance and reliability
Prepare effectively for the Elastic Engineer certification with a practice exam and feedback from experience
Configure automatic notification mechanisms
Size an Elasticsearch cluster
Diagnose a failed Elasticsearch cluster
Back up and restore data in Elasticsearch
Requirements
No prior knowledge of Elasticsearch is required. You will learn everything you need to know.
Description
Elasticsearch is one of the most powerful and widely used search and analytics engines in the world. It enables indexing, searching, and analyzing data in real-time and serves as the core of the Elastic Stack (ELK Stack) alongside Logstash, Kibana, and Beats. Whether you are a developer, data analyst, system administrator, or DevOps, this comprehensive training will take you from zero to expert, while also preparing you for the Elastic Engineer certification.In this Elasticsearch course in English, you will start by understanding the key principles of Elasticsearch and the Elastic Stack. Then, you will learn how to install and configure Elasticsearch on different platforms (Windows, Linux, Docker) and deploy a multi-node cluster. Next, you will discover how to structure, index, and ingest your data using mappings, templates, and ingestion pipelines.A significant part of this training is dedicated to advanced search with Elasticsearch, including full-text queries, nested searches, complex aggregations, and data enrichment. You will also learn how to use Kibana to analyze and visualize your data, create dashboards, and generate reports.Finally, you will explore advanced topics such as alert management with Watcher, performance optimization, cluster security, and best practices for production.Through practical exercises and case studies, you will be fully prepared to use Elasticsearch in a business environment and successfully pass the Elastic Engineer certification.Join this training and become an Elasticsearch Expert!
Who this course is for
Anyone wishing to master Elasticsearch, from beginner to advanced level.
Developers looking to integrate Elasticsearch into their applications.
Data Engineers and Data Analysts looking to optimize the ingestion and analysis of large datasets.
System Administrators and DevOps seeking to configure, secure, and manage an Elasticsearch cluster.
IT professionals and students preparing for the Elastic Engineer certification.
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Mastering Elasticsearch: From Basics to Certification
Published 3/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 29m | Size: 4 GB​

Learn to manage Elasticsearch from A to Z and earn your Elastic Engineer certification.

What you'll learn
Mastering Elasticsearch from A to Z, from installation to advanced administration
Install and configure the Elastic Stack (Elasticsearch, Kibana, and more)
Index, search, and efficiently manipulate data using mappings and ingest pipelines
Optimize search queries with aggregations, analyzers, and transformations
Implement advanced index management strategies (ILM, reindexing, cross-cluster replication)
Secure and manage an Elasticsearch cluster to ensure performance and reliability
Prepare effectively for the Elastic Engineer certification with a practice exam and feedback from experience
Configure automatic notification mechanisms
Size an Elasticsearch cluster
Diagnose a failed Elasticsearch cluster
Back up and restore data in Elasticsearch

Requirements
No prior knowledge of Elasticsearch is required. You will learn everything you need to know.

Description
Elasticsearch is one of the most powerful and widely used search and analytics engines in the world. It enables indexing, searching, and analyzing data in real-time and serves as the core of the Elastic Stack (ELK Stack) alongside Logstash, Kibana, and Beats. Whether you are a developer, data analyst, system administrator, or DevOps, this comprehensive training will take you from zero to expert, while also preparing you for the Elastic Engineer certification.In this Elasticsearch course in English, you will start by understanding the key principles of Elasticsearch and the Elastic Stack. Then, you will learn how to install and configure Elasticsearch on different platforms (Windows, Linux, Docker) and deploy a multi-node cluster. Next, you will discover how to structure, index, and ingest your data using mappings, templates, and ingestion pipelines.A significant part of this training is dedicated to advanced search with Elasticsearch, including full-text queries, nested searches, complex aggregations, and data enrichment. You will also learn how to use Kibana to analyze and visualize your data, create dashboards, and generate reports.Finally, you will explore advanced topics such as alert management with Watcher, performance optimization, cluster security, and best practices for production.Through practical exercises and case studies, you will be fully prepared to use Elasticsearch in a business environment and successfully pass the Elastic Engineer certification.Join this training and become an Elasticsearch Expert!

Who this course is for
Anyone wishing to master Elasticsearch, from beginner to advanced level.
Developers looking to integrate Elasticsearch into their applications.
Data Engineers and Data Analysts looking to optimize the ingestion and analysis of large datasets.
System Administrators and DevOps seeking to configure, secure, and manage an Elasticsearch cluster.
IT professionals and students preparing for the Elastic Engineer certification.

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