Learning Kibana 5.0: Exploit the visualization capabilities of Kibana and build powerful interactive dashboards

Learning Kibana 5.0: Exploit the visualization capabilities of Kibana and build powerful interactive dashboards

by Bahaaldine Azarmi
Learning Kibana 5.0: Exploit the visualization capabilities of Kibana and build powerful interactive dashboards

Learning Kibana 5.0: Exploit the visualization capabilities of Kibana and build powerful interactive dashboards

by Bahaaldine Azarmi

eBook

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Overview

Exploit the visualization capabilities of Kibana and build powerful interactive dashboards


• Introduction to data-driven architecture and the Elastic stack

• Build effective dashboards for data visualization and explore datasets with Elastic Graph

• A comprehensive guide to learning scalable data visualization techniques in Kibana

If you are a developer, data visualization engineer, or data scientist who wants to get the best of data visualization at scale then this book is perfect for you. A basic understanding of Elasticsearch and Logstash is required to make the best use of this book.


• How to create visualizations in Kibana

• Ingest log data, structure an Elasticsearch cluster, and create visualization assets in Kibana

• Embed Kibana visualization on web pages

• Scaffold, develop, and deploy new Kibana & Timelion customizations

• Build a metrics dashboard in Timelion based on time series data

• Use the Graph plugin visualization feature and leverage a graph query

• Create, implement, package, and deploy a new custom plugin

• Use Prelert to solve anomaly detection challenges

Kibana is an open source data visualization platform that allows you to interact with your data through stunning, powerful graphics. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.

In this book, you'll learn how to use the Elastic stack on top of a data architecture to visualize data in real time. All data architectures have different requirements and expectations when it comes to visualizing the data, whether it's logging analytics, metrics, business analytics, graph analytics, or scaling them as per your business requirements. This book will help you master Elastic visualization tools and adapt them to the requirements of your project.

You will start by learning how to use the basic visualization features of Kibana 5. Then you will be shown how to implement a pure metric analytics architecture and visualize it using Timelion, a very recent and trendy feature of the Elastic stack. You will learn how to correlate data using the brand-new Graph visualization and build relationships between documents. Finally, you will be familiarized with the setup of a Kibana development environment so that you can build a custom Kibana plugin.

By the end of this book you will have all the information needed to take your Elastic stack skills to a new level of data visualization.

This book takes a comprehensive, step-by-step approach to working with the visualization aspects of the Elastic stack. Every concept is presented in a very easy-to-follow manner that shows you both the logic and method of implementation. Real world cases are referenced to highlight how each of the key concepts can be put to practical use.


Product Details

ISBN-13: 9781786465795
Publisher: Packt Publishing
Publication date: 02/15/2017
Sold by: Barnes & Noble
Format: eBook
Pages: 284
File size: 40 MB
Note: This product may take a few minutes to download.

About the Author

Bahaaldine Azarmi, Baha for short, is a Solutions Architect at Elastic. Prior to this position, Baha co-founded reachfive, a marketing data-platform focused on user behavior and social analytics. Baha also worked for different software vendors such as, Talend or Oracle, where he held the positions of Solutions Architect and Architect. Before Learning Kibana 5.0, Baha authored books such as Scalable Big Data Architecture, by Apress and Talend for Big Data, by Packt Publishing. Baha is based in Paris and has a Master's Degree in computer science from Polytech'Paris.
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