Learning Kibana 5.0

More Information
  • 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.

  • 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
Page Count 284
Course Length 8 hours 31 minutes
ISBN 9781786463005
Date Of Publication 15 Feb 2017


Bahaaldine Azarmi

Bahaaldine Azarmi, or Baha for short, is the head of solutions architecture in the EMEA South region at Elastic. Prior to this position, Baha co-founded ReachFive, a marketing data platform focused on user behavior and social analytics. He has also worked for a number of different software vendors, including Talend and Oracle, where he held positions as a solutions architect and architect. Prior to Machine Learning with the Elastic Stack, Baha authored books including Learning Kibana 5.0, Scalable Big Data Architecture, and Talend for Big Data. He is based in Paris and holds an MSc in computer science from Polytech'Paris.