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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 FREE CHAPTER
2. Chapter 1: Introduction to Kibana 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

Exploring your data

Let us now start looking into how the data gets stored in the Elasticsearch cluster, which takes us to the concept of a document. Anything that we ingest in the cluster gets stored in the cluster as a document.

Elasticsearch – a document store

Before starting to understand how exploration of data can be done, Elasticsearch is called a distributed document store as it stores the data in the form of serialized JSON documents:

Figure 3.1 – An index with a collection of documents can be stored in Elasticsearch

Figure 3.1 – An index with a collection of documents can be stored in Elasticsearch

These JSON documents are distributed across all the nodes of the cluster. If we go into where this document is stored in an index, it would be a logical namespace called an Index. It can be thought of as a collection of JSON documents that has data stored in the form of key-value pairs that contain the data. See the following example:

 Figure 3.2 – A sample of a record of data

Figure 3.2 – A sample of a record of data

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