Kibana 8.x - a Quick Start Guide to Data Analysis Learn about Data Exploration, Visualization, and Dashboard Building with Kibana
Uncover valuable business insights by leveraging the power of Kibana to navigate and interpret datasets for improved decision making Key Features Gain profound understanding of the end-to-end workings of Kibana Explore the powerful administration features in Kibana 8.x for managing and supporting da...
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham, England :
Packt Publishing
[2024]
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| Edición: | First edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009805127906719 |
Tabla de Contenidos:
- Cover
- Title Page
- Copyright
- Dedication
- Contributors
- Table of Contents
- Preface
- Part 1: Exploring Kibana
- Chapter 1: Introduction to Kibana
- Technical requirements
- Getting an overview of Kibana
- Installation
- Configuration
- Running Kibana
- Understanding data integrations
- Summary
- Chapter 2: Creating Data Views and Introducing Spaces
- Technical requirements
- Exploring data views
- Creating spaces
- Understanding saved objects in Kibana
- Summary
- Chapter 3: Discovering the Data Through Discover
- Exploring your data
- Elasticsearch - a document store
- Datatypes in Elasticsearch
- The Discover page
- Working with queries
- Structuring KQL query (example)
- Pairing the queries with Boolean operators
- Searching numeric fields
- How to search when you don't know how to spell what you wish to search for
- Creating a saved search
- Steps to create a saved search
- Summary
- Part 2: Visualizations in Kibana
- Chapter 4: How About We Visualize?
- Technical requirements
- Exploring Lens visualizations
- Deep diving into the backend of visualizations in Kibana
- Understanding Canvas, Maps, and Markdown visualizations
- Building Canvas visualizations
- Building Maps visualizations
- Building Markdown visualizations
- Summary
- Chapter 5: Powering Visualizations with Near Real-Time Updates
- Technical requirements
- Understanding how to create TSVB visualizations
- Understanding the Aggregation dropdown in the Data tab
- Understanding the Group by dropdown in the Data tab
- Exploring the Metric, Top N, Gauge, Markdown, and Table types of TSVB
- Top N and Gauge
- Markdown and Table
- Putting TSVB to use
- Using Annotations
- Summary
- Part 3: Analytics on a Dashboard
- Chapter 6: Data Analysis with Machine Learning
- Technical requirements.
- Understanding anomaly detection in time series data
- How does the machine learning algorithm work?
- Analyzing data with entity-centric analysis
- Transforms
- DataFrame analytics
- APIs to implement to know more about machine learning
- Setting up alerts
- Summary
- Chapter 7: Graph Visualization
- Technical requirements
- Creating a graph
- Customizing a graph
- Troubleshooting a graph
- Performance-related issues
- Finding out whether there are any missing results
- Key points for supporting data from multiple indices
- Summary
- Chapter 8: Finally, the Dashboard
- Technical requirements
- Exploring sample dashboards
- Creating a dashboard from scratch
- Understanding a logging use case on a dashboard
- Sharing the dashboard
- Summary
- Part 4: Querying on Kibana and Advanced Concepts
- Chapter 9: ES|QL and Advanced Kibana Concepts
- Technical requirements
- Learning the ES|QL building blocks
- Understanding how ES|QL works
- Advanced Kibana concepts
- Runtime fields
- Advanced Kibana settings
- Summary
- Chapter 10: Query DSL and Management through Kibana
- Technical requirements
- Learning about Query DSL
- Full text queries
- Geo queries
- Shape queries
- Joining queries
- Match-all queries
- Term-level queries
- Specialized queries
- Compound queries
- Deep-diving management concepts - RBAC
- Exploring watchers
- Summary
- Index
- About PACKT
- Other Books You May Enjoy.
