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
Part 1: Exploring Kibana
Part 2: Visualizations in Kibana
Part 3: Analytics on a Dashboard
Part 4: Querying on Kibana and Advanced Concepts

Creating a dashboard from scratch

With Kibana, you can customize your data in various formats, such as tables, vertical bar graphs, and maps. This allows you to easily compare your data side by side and identify patterns and relationships that may not be apparent at first glance.

The dashboards in Kibana support several types of panels that you can use to display your data. Whether you want to create a bar chart, a pie chart, or a heatmap and bring all of them together in a customized view, creating a customized dashboard is the way to go!

Let’s see in detail how this can be done:

  1. First, we need to finalize the visualizations you need to use, or create the visualizations if not already created.

    As we are aware, a dashboard is created from visualizations; hence, the first step will involve creating them or ensuring that we have all the required representations saved in the library for the use case you are targeting.

    For example, we can create a visualization by clicking...