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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

Product type Book
Published in Feb 2024
Publisher Packt
ISBN-13 9781803232164
Pages 198 pages
Edition 1st Edition
Languages
Author (1):
Krishna Shah Krishna Shah
Profile icon Krishna Shah

Table of Contents (17) Chapters

Preface Part 1: Exploring Kibana
Chapter 1: Introduction to Kibana Chapter 2: Creating Data Views and Introducing Spaces Chapter 3: Discovering the Data through Discover Part 2: Visualizations in Kibana
Chapter 4: How About We Visualize? Chapter 5: Powering Visualizations with Near Real-Time Updates Part 3: Analytics on a Dashboard
Chapter 6: Data Analysis with Machine Learning Chapter 7: Graph Visualization Chapter 8: Finally, the Dashboard Part 4: Querying on Kibana and Advanced Concepts
Chapter 9: ES|QL and Advanced Kibana Concepts Chapter 10: Query DSL and Management through Kibana Index 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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