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

To get the most out of this book

It is recommended to have a basic understanding of data. Familiarity with data types, structures, and concepts will ease navigation through Kibana’s data manipulation tools.

Some SQL knowledge is useful. While not essential, basic SQL skills can come in handy for writing simple queries in ES|QL, Kibana’s query language.

Conceptual know-how on downloading, installing, and configuring Kibana and working with YAML files is essential.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.