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Kibana 8.x – A Quick Start Guide to Data Analysis

You're reading from   Kibana 8.x – A Quick Start Guide to Data Analysis Learn about data exploration, visualization, and dashboard building with Kibana

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781803232164
Length 198 pages
Edition 1st Edition
Tools
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Author (1):
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Krishna Shah Krishna Shah
Author Profile Icon Krishna Shah
Krishna Shah
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Table of Contents (17) Chapters Close

Preface 1. Part 1: Exploring Kibana FREE CHAPTER
2. Chapter 1: Introduction to Kibana 3. Chapter 2: Creating Data Views and Introducing Spaces 4. Chapter 3: Discovering the Data through Discover 5. Part 2: Visualizations in Kibana
6. Chapter 4: How About We Visualize? 7. Chapter 5: Powering Visualizations with Near Real-Time Updates 8. Part 3: Analytics on a Dashboard
9. Chapter 6: Data Analysis with Machine Learning 10. Chapter 7: Graph Visualization 11. Chapter 8: Finally, the Dashboard 12. Part 4: Querying on Kibana and Advanced Concepts
13. Chapter 9: ES|QL and Advanced Kibana Concepts 14. Chapter 10: Query DSL and Management through Kibana 15. Index 16. Other Books You May Enjoy

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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