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

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Elasticsearch and Elastic Stack are important tools for managing massive data. You need to know the problems it solves and how it works to design the best systems and be the most valuable engineer you can be. 

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124 on-demand videos & exercises
Level: Intermediate
15hrs 10mins
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What to know about this course

Elasticsearch 8 is a powerful tool for analyzing big datasets in a matter of milliseconds! It’s an increasingly popular technology for powering search and analytics on big websites, and a valuable skill to have in today’s job market. The course starts with setting up search indices on an Elasticsearch 8 cluster and querying that data in many ways. Fuzzy searches, partial matches, search-as-you-type, pagination, sorting. Next, you will explore what’s new in Elasticsearch 8 and illustrate all the new syntax requirements of Elasticsearch commands. Elasticsearch isn’t just for search anymore—it has powerful aggregation capabilities for structured data, which allows you to glean new insights from your indexed data. You will learn to bucket and analyze data using Elasticsearch, and visualize it using the Elastic Stack’s web UI, Kibana, and Kibana Lens. You will learn how to manage operations on your Elastic Stack, monitor your cluster’s health, and perform operational tasks such as scaling up your cluster and doing rolling restarts. We will also spin up Elasticsearch clusters in the cloud using Amazon Opensearch Service and the Elastic Cloud. By the end of this course, you will develop the Elasticsearch skills needed for searching, analyzing, and visualizing big data.

Who's this course for?

This course is designed for anyone who is looking to learn Elasticsearch to search and analyze big datasets. A basic understanding of web services and REST API is needed to get started with this course.

What you'll learn

  • Install and configure Elasticsearch 8 on a cluster
  • Find out how to create search indices and mappings
  • Use Logstash to import streaming log data into Elasticsearch
  • Aggregate structured data using buckets and metrics
  • Use Filebeat and Elastic Stack to import streaming data at scale
  • Manage operations on Elasticsearch clusters.

Key Features

  • Find about the different techniques used to import data into Elasticsearch.
  • Learn how to analyze and visualize data in Elasticsearch using Kibana.
  • Integrate Elasticsearch with other systems, such as Spark, Kafka, relational databases, S3, and more.

Course Curriculum

About the Author

Frank Kane

Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.

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