Book Image

Kibana 8.x – A Quick Start Guide to Data Analysis

By : Krishna Shah
Book Image

Kibana 8.x – A Quick Start Guide to Data Analysis

By: Krishna Shah

Overview of this book

Unleash the full potential of Kibana—an indispensable tool for data analysts to seamlessly explore vast datasets, uncover key insights, identify trends and anomalies, and share results. This book guides you through its user-friendly interface, interactive visualizations, and robust features, including real-time data monitoring and advanced analytics, showing you how Kibana revolutionizes your approach to navigating and analyzing complex datasets. Starting with the foundational steps of installing, configuring, and running Kibana, this book progresses systematically to explain the search and data visualization capabilities for data stored in the Elasticsearch cluster. You’ll then delve into the practical details of creating data views and optimizing spaces to better organize the analysis environment. As you advance, you'll get to grips with using the discover interface and learn how to build different types of extensive visualizations using Lens. By the end of this book, you’ll have a complete understanding of how Kibana works, helping you leverage its capabilities to build an analytics and visualization solution from scratch for your data-driven use case.
Table of Contents (17 chapters)
Free Chapter
1
Part 1: Exploring Kibana
5
Part 2: Visualizations in Kibana
8
Part 3: Analytics on a Dashboard
12
Part 4: Querying on Kibana and Advanced Concepts

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

abstract syntax tree (AST) 144

Aggregation dropdown

in Data tab 66-70

aggregations

bucket aggregations 47

metric aggregations 47

airfield 57

alerts

setting up 92-96

annotations

using 77, 78

anomaly detection 82, 83

detection job, performing 83-85

detector 83

influencer field 83

model 83

personalized customer experiences 88

predictive forecasting 88

real-time anomaly detection 88

Anomaly Explorer 85

in Kibana 85

B

Boolean operators

queries, pairing with 24

Bool query 156

working 156

bucket aggregations 47

buckets 47

bulk method 9

C

Canvas visualization 48

building 49-53

classification algorithms 91

compound queries 156

create method 9

D

dashboard 4

creating, from scratch 111,...