Book Image

Learning Kibana 5.0

By : Bahaaldine Azarmi
Book Image

Learning Kibana 5.0

By: Bahaaldine Azarmi

Overview of this book

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.
Table of Contents (17 chapters)
Learning Kibana 5.0
About the Author
About the Reviewers
Customer Feedback

Chapter 6. Graph Exploration in Kibana

In earlier chapters, we went through a logging and metric analytics scenario that mainly leveraged the aggregation API in Elasticsearch.

But what if the need was not necessarily to highlight the KPI in the data, but rather to show the interconnection of data based on relevancy? This is where Elastic Graph comes into play. Graph is an X-Pack plugin that allows us to reveal significant connections between data indexed in Elasticsearch.

Elastic Graph comes with a new API in Elasticsearch and a new UI in Kibana, which offers a totally different approach to exploring data: rather than addressing data through the angle of value aggregation and narrowing them down by filtering to discover patterns, Graph allows you to play with vertices (the terms indexed in Elasticsearch) and connections (how many documents share the terms in the index) and map out significant relations.

In this chapter, we'll learn the following concepts of the Elastic Graph flow:

  • Differentiating...