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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
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

Working with queries

Imagine a world where a famous e-commerce website that you wish to shop from doesn’t have a search bar! It is next to inevitable to have a feature to search, which in turn allows a user to type and do a quick look-up on the data. The constant need to search is increasing now, more than ever. In fact, every website, page, or frontend requires a search bar that facilitates the way a user can search the data:

Figure 3.6 – The Search bar

Figure 3.6 – The Search bar

Let’s start understanding the query language that is provided in the search bar of Discover.

Structuring KQL query (example)

Kibana Query Language, abbreviated as KQL, is a text-based query language that is used to filter data in Kibana. It works on a simple syntax of just searching for the terms we’re looking for in the search bar, or being more specific on what we’re searching for by providing a field against the word, shown as follows:

"field": ...
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