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

Introduction to Kibana

Now is the time to kickstart our journey into the world of visualizing data. We are first going to start understanding the core concepts of Kibana, right from setting up, installing, and configuring to starting Kibana. We will also learn how Kibana acts as a window to your data stored in Elasticsearch. Kibana, being an open source application, is also a UI layer of Elastic Stack for visualizing and exploring data in Elasticsearch. It can also be used to manage the stack.

The following are the topics that we will cover in detail:

  • Getting an overview of Kibana
  • Understanding data integrations