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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

Discovering the Data through Discover

So, you’ve got your data in. Now it’s time to answer questions. What countries in the world have the maximum number of people working in IT? What events have the runtime error 404? Which customers are making the highest contribution to the profit?

All of these questions (and more!) can be discovered right on this interface. It is finally time to start exploring our dataset through the very interesting interface in Kibana, called Discover. Right when you start collecting and ingesting your data from your data sources, Discover in Kibana will be one place you would like to go and kickstart your exploration of the dataset. From which fields are coming in to how your data is structured with respect to the datatypes of the fields, everything can be visible in Discover. It also has an amazing query feature, which serves as your own custom search functionality placed over whatever dataset you have in the Elasticsearch cluster.

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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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