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

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

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

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

5 (3)
By: 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)
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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

Summary

In this chapter, we studied in detail how a dashboard can enable users to see data insights all on one page, and we saw how to leverage features such as query and filter reflecting on every visualization present on the dashboard.

We also learned how we can either begin by exploring sample dashboards or create our own dashboard from scratch, adding all the use case-specific visualizations with diverse representation styles. Finally, we explored how we can start sharing these very interesting dashboards with team members, peers, or customers, presenting them with the insights that we have successfully extracted from a dataset.

In the next chapter, we shall go through some advanced concepts such as scripted fields, which will enable us to target a specific use case.

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