Kibana 8.x - a Quick Start Guide to Data Analysis : Learn about Data Exploration, Visualization, and Dashboard Building with Kibana / Krishna Shah.

Format:

Book

Author/Creator:

Shah, Krishna, author.

Language:

English

Subjects (All):

Information visualization.

Data mining.

Physical Description:

1 online resource (198 pages)

Edition:

First edition.

Place of Publication:

Birmingham, England : Packt Publishing, [2024]

Biography/History:

Shah Krishna: Krishna Shah is a data architect from Melbourne, Australia with 9+ years of experience, and she knows how to make data work. She's been an official trainer for Elasticsearch and Kibana, crafting the courses that empower people to unlock the secrets of data. Prior to that, she worked for a start-up in India as the data engineer behind building and maintaining data engineering pipelines, then transforming that raw information into stunning visuals and insights using Kibana and other data engineering technologies. Today, she's an advocate, a mentor, and a bridge-builder, inviting everyone to find their own rhythm in the data's dance. Whether you're a novice or seasoned analyst, brace yourself for her infectious enthusiasm and knack for making the driest of datasets sing!

Summary:

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 data ingestion pipelines Build your own analytics and visualization solution from scratch Purchase of the print or Kindle book includes a free PDF eBook Book Description 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. What you will learn Create visualizations using the Visualize interface in Kibana Build shareable search dashboards to drill down and perform advanced analysis and reporting Search data to make correlations and identify and explain trends Embed dashboards, share links, and export PNG, PDF, or CSV files and send as an attachment Configure and tweak advanced settings to best manage saved objects in Kibana Implement several types of aggregations working behind the scenes of extensive visualizations Who this book is for If you're a data analyst or a data engineer, this book is for you. It's also a useful resource to database administrators, analysts, and business users looking to build a foundation in creating intuitive dashboards using Kibana 8.x and data analysis techniques for improved decision making. Foundational knowledge of Elasticsearch fundamentals will provide an added advantage.

Contents:

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

Exploring data views

Creating spaces

Understanding saved objects in Kibana

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

Part 2: Visualizations in Kibana

Chapter 4: How About We Visualize?

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

Chapter 5: Powering Visualizations with Near Real-Time Updates

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

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

Chapter 7: Graph Visualization

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

Chapter 8: Finally, the Dashboard

Exploring sample dashboards

Creating a dashboard from scratch

Understanding a logging use case on a dashboard

Sharing the dashboard

Part 4: Querying on Kibana and Advanced Concepts

Chapter 9: ES|QL and Advanced Kibana Concepts

Learning the ES|QL building blocks

Understanding how ES|QL works

Advanced Kibana concepts

Runtime fields

Advanced Kibana settings

Chapter 10: Query DSL and Management through Kibana

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

Index

About PACKT

Other Books You May Enjoy.

Notes:

Includes index.

Description based on print version record.

ISBN:

9781803244051

1803244054

OCLC:

1422231887