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.
All resources and code files are placed here: https://github.com/packtpublishing/elasticsearch-7-and-elastic-stack---…-
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