Elasticsearch 8 and the Elastic Stack

In-Depth and Hands-On

By: Frank Kane

Write A Review

eText | 15 November 2017 | Edition Number 1

At a Glance

Format
PDF

eText

$224.39

or 4 interest-free payments of $56.10 with

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

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---in-depth-and-hands-on-