Ultimate Elasticsearch 8, Kibana, Logstash, Beats: ELK Stack
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- This product is available at Udemy.
- At udemy.com you can purchase Elasticsearch 8 and the Elastic Stack: In Depth and Hands On for only $469.00
- The lowest price of Data Visualization with Kibana was obtained on March 19, 2026 1:09 am.
$74.99 Original price was: $74.99.$10.00Current price is: $10.00.
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Ultimate Elasticsearch 8, Kibana, Logstash, Beats: ELK Stack
$74.99 Original price was: $74.99.$10.00Current price is: $10.00.
Description
-
Elasticsearch 8 and the Elastic Stack: In Depth and Hands On
★★★★★
$469.00 in stock
Udemy.com
as of March 19, 2026 1:09 am
Complete Elastic search tutorial - search, analyze, and visualize big data with Elasticsearch, Kibana, Logstash, & Beats
Created by:
Sundog Education by Frank Kane
Join over 900K students learning ML, AI, AWS, and Data Eng.
Join over 900K students learning ML, AI, AWS, and Data Eng.
Created by:
Frank Kane
Ex-Amazon Sr. Engineer and Sr. Manager, CEO Sundog Education
Ex-Amazon Sr. Engineer and Sr. Manager, CEO Sundog Education
Created by:
Coralogix Ltd.
Logging Built For CI/CD
Logging Built For CI/CD
Created by:
Sundog Education Team
Sundog Education Team
Sundog Education Team
Rating:4.63 (6213reviews)
48757students enrolled
What Will I Learn?
- Install and configure Elasticsearch 7 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
Target audience
- Any technologist tasked with fast, scalable searching and analysis of big data sets.
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