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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
Concepts
Data Engineering
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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

Kibana requires specific hardware specifications when installed on a server, which includes support for 64-bit operating systems. The installation process offers multiple package formats, such as tar, deb, rpm, and Docker. Kibana can be installed, configured, and started from an archive on Linux, macOS, or Windows.

The hardware requirements for Kibana may vary depending on the specific use-case requirements. However, it is generally recommended to allocate 1 GB to 2 GB of RAM and 2 CPUs for use cases involving PDF, CSV, and PNG reporting in Kibana.

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Kibana 8.x – A Quick Start Guide to Data Analysis
Published in: Feb 2024Publisher: PacktISBN-13: 9781803232164
© 2024 Packt Publishing Limited All Rights Reserved

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

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