Elasticsearch 8 and the Elastic Stack: In Depth and Hands On

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.

Created by: Frank Kane
Ex-Amazon Sr. Engineer and Sr. Manager, CEO Sundog Education

Created by: Coralogix Ltd.
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Created by: Sundog Education Team
Sundog Education Team

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.