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Kibana 8.x – A Quick Start Guide to Data Analysis
Kibana 8.x – A Quick Start Guide to Data Analysis

Kibana 8.x – A Quick Start Guide to Data Analysis: Learn about data exploration, visualization, and dashboard building with Kibana

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Kibana 8.x – A Quick Start Guide to Data Analysis

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

Technical requirements

Kibana requires specific hardware specifications when installed on a server, which includes support for 64-bit operating systems. The installation process offers multiple package formats, such as tar, deb, rpm, and Docker. Kibana can be installed, configured, and started from an archive on Linux, macOS, or Windows.

The hardware requirements for Kibana may vary depending on the specific use-case requirements. However, it is generally recommended to allocate 1 GB to 2 GB of RAM and 2 CPUs for use cases involving PDF, CSV, and PNG reporting in Kibana.

Getting an overview of Kibana

Kibana is a powerful tool for data discovery, analysis, visualization, and security. It’s designed for administrators, analysts, and business users to manage, monitor, and secure their Elastic Stack deployments. Kibana provides a comprehensive suite of features for searching, observing, and protecting data. It’s easy to quickly find documents and uncover hidden insights, visualize results in charts, gauges, maps, graphs, and more, and combine them in a dashboard. Analysts can explore and analyze data with the help of Kibana’s sophisticated query language, and administrators can manage and monitor the health of their Elastic Stack cluster.

It is a great tool for a wide range of use cases. For instance, it can be used to monitor website traffic, search log files for errors and anomalies, and even detect security vulnerabilities. It can also be used to analyze customer data for marketing campaigns, track events for compliance, and...

Understanding data integrations

When it comes to adding data to Elasticsearch, there are multiple ways to do it.

The easiest and simplest method would be to add the sample data available on Kibana’s home page by clicking on Try sample data as shown in the following figure:

Figure 1.1 – Image shows the page of Kibana where you have options to add sample data

Figure 1.1 – Image shows the page of Kibana where you have options to add sample data

This shows a Sample data screen where a dropdown can be found through an Other datasets link. There are currently three options to choose from:

Figure 1.2 – The page of Kibana where you have options to add sample data

Figure 1.2 – The page of Kibana where you have options to add sample data

Next, an easy option to explore data would be to add the data through the Upload file option, where a log file or delimited CSV, TSV, or JSON file up to the size of 100 MB can be uploaded. This value can be configured up to 1 GB in the Advanced settings section of Kibana:

Figure 1.3 – Using the load feature to add the sample data

Figure 1.3 – Using the load...

Summary

In this chapter, we studied in detail how Kibana can be installed from scratch, configured, and started on platforms. We also saw how there can be numerous ways to add data to an Elasticsearch cluster.

In the next chapter, we will be learning the next step in exploring Kibana – data views. We will learn how data can be navigated in Kibana by creating data views and how spaces help us much better organize our Kibana environment.

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Key benefits

  • 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

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.

Who is this book 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.

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
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Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 29, 2024
Length: 198 pages
Edition : 1st
Language : English
ISBN-13 : 9781803232164
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Length: 198 pages
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Language : English
ISBN-13 : 9781803232164
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Concepts :
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Table of Contents

16 Chapters
Part 1: Exploring Kibana Chevron down icon Chevron up icon
Chapter 1: Introduction to Kibana Chevron down icon Chevron up icon
Chapter 2: Creating Data Views and Introducing Spaces Chevron down icon Chevron up icon
Chapter 3: Discovering the Data through Discover Chevron down icon Chevron up icon
Part 2: Visualizations in Kibana Chevron down icon Chevron up icon
Chapter 4: How About We Visualize? Chevron down icon Chevron up icon
Chapter 5: Powering Visualizations with Near Real-Time Updates Chevron down icon Chevron up icon
Part 3: Analytics on a Dashboard Chevron down icon Chevron up icon
Chapter 6: Data Analysis with Machine Learning Chevron down icon Chevron up icon
Chapter 7: Graph Visualization Chevron down icon Chevron up icon
Chapter 8: Finally, the Dashboard Chevron down icon Chevron up icon
Part 4: Querying on Kibana and Advanced Concepts Chevron down icon Chevron up icon
Chapter 9: ES|QL and Advanced Kibana Concepts Chevron down icon Chevron up icon
Chapter 10: Query DSL and Management through Kibana Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(3 Ratings)
5 star 100%
4 star 0%
3 star 0%
2 star 0%
1 star 0%
Tapan Patel Apr 30, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I recently dove into this guide, and it was a ripper experience! The content is well-organised and easy to grasp, even for beginners like me who are new to the Kibana interface. The instructions were clear, making it a breeze to follow along. Overall, I highly recommend this guide to anyone keen to learn about Kibana—it's informative, beginner-friendly, and definitely worth your time!
Amazon Verified review Amazon
Josh Stepp Aug 02, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Kibana has went from being a little application used to display what’s in your Elasticsearch to a full fledged application capable of doing its original job, visualizations while doing additional tasks like detection rules and complex aggregations. In order to get the most out of your data you need to know how to present it and there’s no better guide than this book, written by a true subject matter expert.
Amazon Verified review Amazon
Karan Bhatt Mar 24, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Look no further if you're eager to dive into Kibana pronto! From setting up to mastering Kibana 8.0, this book is your express ticket. It guides you seamlessly through installation, configuration, and unleashing the full potential of data discovery and visualization.While many resources offer insight into Kibana, this book stands out for its hands-on approach. Perfect for SREs and enthusiasts of anomaly detection, analytics, and comprehensive metric visibility, it ensures you not only grasp the concepts but also get your hands dirty in no time. This is a must-have resource for those serious about optimizing their data management journey with Kibana.
Amazon Verified review Amazon
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