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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

Product type Paperback

Published in Feb 2024

Publisher Packt

ISBN-13 9781803232164

Length 198 pages

Edition 1st Edition

Tools

Kibana

Concepts

Data Analysis

Author (1):

Krishna Shah

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Table of Contents (17) Chapters

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

Why subscribe?

16. Other Books You May Enjoy

Advanced Kibana concepts

Kibana has several implementations that are designed for very specific use case requirements, and runtime fields is one of them. Let’s explore and understand them.

Runtime fields

Forget static schemas; Elasticsearch runtime fields are your dynamic paintbrushes! They let you create fields on the fly, transforming your data on demand within your queries. Imagine a data sculptor, molding your documents with temporary fields based on your needs.

There’s no need to re-index or restructure your data. Runtime fields are calculated at query time, pulling information from existing fields or even combining them into new ones. Think of it as a temporary data transformation, enriching your documents without changing their core structure. These dynamic fields are versatile. You can extract specific values using Grok patterns, calculate aggregates such as averages or counts, or even perform complex calculations. They’re perfect for adding context...

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Authors (1)

Shah

Shah

Snehal Shah has extensive experience in implementing enterprise web applications using J2EE technologies. He is the co-founder of Techforce Infotech where he has worked on various J2EE based solutions, various open source product customizations, and worked on business expansion. He was also involved in building a team and finalizing the technology path for the organization. At his previous employer, CIGNEX Datamatics, he rolled out numerous Alfresco deployments worldwide in the areas of document management, web content management, and Share. He has also worked on application-based Liferay and Moodle products. Prior to CIGNEX, he has worked on various J2EE-based solutions using cutting edge technologies. He has worked with clients in education, legal, and marketing domains across the world. He has worked on defining architecture for various projects, which involves multiple product integrations. In his previous organizations, he was involved in deciding the technology path of the organization and was also involved in various internal technical training. He holds a Bachelors Degree in Computer Engineering from Deemed University, DDIT India. He has also worked as a Technical Reviewer for the books Alfresco 3 Cookbook and Alfresco Share.

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