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

Working with queries

Imagine a world where a famous e-commerce website that you wish to shop from doesn’t have a search bar! It is next to inevitable to have a feature to search, which in turn allows a user to type and do a quick look-up on the data. The constant need to search is increasing now, more than ever. In fact, every website, page, or frontend requires a search bar that facilitates the way a user can search the data:

Figure 3.6 – The Search bar

Figure 3.6 – The Search bar

Let’s start understanding the query language that is provided in the search bar of Discover.

Structuring KQL query (example)

Kibana Query Language, abbreviated as KQL, is a text-based query language that is used to filter data in Kibana. It works on a simple syntax of just searching for the terms we’re looking for in the search bar, or being more specific on what we’re searching for by providing a field against the word, shown as follows:

"field": ...