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You're reading from  Kibana 8.x – A Quick Start Guide to Data Analysis

Product typeBook
Published inFeb 2024
PublisherPackt
ISBN-139781803232164
Edition1st Edition
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Author (1)
Krishna Shah
Krishna Shah
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Krishna Shah

Krishna Shah is a data architect from Melbourne, Australia with 9+ years of experience, and she knows how to make data work. She's been an official trainer for Elasticsearch and Kibana, crafting the courses that empower people to unlock the secrets of data. Prior to that, she worked for a start-up in India as the data engineer behind building and maintaining data engineering pipelines, then transforming that raw information into stunning visuals and insights using Kibana and other data engineering technologies. Today, she's an advocate, a mentor, and a bridge-builder, inviting everyone to find their own rhythm in the data's dance. Whether you're a novice or seasoned analyst, brace yourself for her infectious enthusiasm and knack for making the driest of datasets sing!
Read more about Krishna Shah

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Technical requirements

As per the basic requirement, we assume that you have data ingested in the cluster and that Kibana is set up on the nodes of (any) environment (cloud or local).

Once Kibana is up and running, we can navigate to Kibana home page and click on Try sample data | Other sample datasets, then click on Add data for Kibana_sample_data_ecommerce dataset.

We will be using this dataset for creating a visualization on Lens in this chapter.

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Kibana 8.x – A Quick Start Guide to Data Analysis
Published in: Feb 2024Publisher: PacktISBN-13: 9781803232164

Author (1)

author image
Krishna Shah

Krishna Shah is a data architect from Melbourne, Australia with 9+ years of experience, and she knows how to make data work. She's been an official trainer for Elasticsearch and Kibana, crafting the courses that empower people to unlock the secrets of data. Prior to that, she worked for a start-up in India as the data engineer behind building and maintaining data engineering pipelines, then transforming that raw information into stunning visuals and insights using Kibana and other data engineering technologies. Today, she's an advocate, a mentor, and a bridge-builder, inviting everyone to find their own rhythm in the data's dance. Whether you're a novice or seasoned analyst, brace yourself for her infectious enthusiasm and knack for making the driest of datasets sing!
Read more about Krishna Shah