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Elasticsearch 9 and the Elastic Stack: In Depth and Hands On

Complete Elastic search tutorial - search, analyze, and visualize big data with Elasticsearch, Kibana, Logstash, & Beats
4.6 ★★★★★50,729 studentsCreated by Frank Kane, Sundog Education by Frank KaneLast updated Nov 13, 2025🌐 English

What you'll learn

✓Install and configure Elasticsearch 9 on a cluster
✓Create search indices and mappings
✓Search full-text and structured data in several different ways
✓Import data into Elasticsearch using various techniques
✓Integrate Elasticsearch with other systems, such as Spark, Kafka, relational databases, S3, and more
✓Aggregate structured data using buckets and metrics
✓Use Logstash and the "ELK stack" to import streaming log data into Elasticsearch
✓Use Filebeats and the Elastic Stack to import streaming data at scale
✓Analyze and visualize data in Elasticsearch using Kibana
✓Manage operations on production Elasticsearch clusters
✓Use cloud-based solutions including Amazon's Elasticsearch Service and Elastic Cloud

Requirements

•You need access to a Windows, Mac, or Ubuntu PC with 20GB of free disk space
•You should have some familiarity with web services and REST
•Some familiarity with Linux will be helpful
•Exposure to JSON-formatted data will help

Description

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Student Feedback

4.6
★★★★★
Course Rating
75%
15%
5%
5%
5%
S
Sarah J.
★★★★★2 weeks ago

This course was absolutely amazing! The instructor explained everything clearly and the projects were very helpful.

M
Michael T.
★★★★1 month ago

Great content, highly recommended for beginners. Just wish there were more practice exercises.

D
David K.
★★★★★2 months ago

Best course on this topic I've taken so far. Worth every penny (even better since I got it for free!).

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This course includes:
  • 📺 14h 30m on-demand video
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  • ♾️ Full lifetime access
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