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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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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1: Exploring Kibana
2. Chapter 1: Introduction to Kibana FREE CHAPTER 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

Summary

In this chapter, we understood the extensive features and capabilities that Kibana’s machine learning provides, thereby leveraging the big data in your systems to find some meaningful business insights to help the use case.

Then, we saw how anomalies can be deemed unusual behavior, even in the most normal-looking data. This helps us be aware of and predict potentially alarming events in the future. Moreover, we saw how the alerting mechanism in Kibana helps provide some great findings for the data analysis process.

With Kibana’s comprehensive suite of machine learning functionalities, you can streamline your data analysis workflow and stay proactive in identifying potential issues or anomalies in your datasets. Whether it’s identifying anomalies, monitoring job health, or leveraging other advanced analytics capabilities, Kibana enables users to unlock valuable insights from their data and drive meaningful business outcomes. In the next chapter, we...

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