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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

Understanding how ES|QL works

The query language works fundamentally through a source command, and it can be followed by (optional) commands called processing commands. They are separated by a pipe (|); hence, ES|QL is also referred to as Elastic’s piped query language. The source command results into a table formation from the data in Elasticsearch, as shown in the following figure:

Figure 9.1 – The source command concept in Elasticsearch

Figure 9.1 – The source command concept in Elasticsearch

Three different source commands that are supported, which are FROM, ROW, and SHOW.

Here’s a simple example of how ES|QL works. Imagine you have an index named products that contains product data, and you want to find all products with a price above $50.

With ES|QL, you could write the following query:

FROM products WHERE price > 50;

This query looks just like a standard SQL query, but ES|QL translates it into Elasticsearch’s query language, retrieving the desired results. Refer...

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