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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

Troubleshooting a graph

If you face a simple error of the results not appearing, then the first step is to be mindful of how the Graph API requests are designed to filter out irrelevant result documents by implementing various techniques. Let’s look into a few common issues and some strategies to tackle them.

Performance-related issues

To enhance the performance of the graph visualization, the Graph API incorporates a background frequency check for the terms it discovers during exploration. By default, each unique term requires a lookup in the index, which incurs a disk seek and can be costly. However, if noise filtering is not necessary, you can disable this check by setting the Use significance parameter to false. This eliminates the expensive frequency checks but also means that no quality filtering will be performed on the terms.

If your data contains noise and you need to filter based on significance, there are several strategies you can employ to reduce the number...

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