What this book covers 

Chapter 1, Introduction to Data-Driven Architecture, describes the fundamental layers that compose a data-driven architecture, and how the Elastic Stack can be used to build it. 

Chapter 2, Installing and Setting up Kibana 5.0, covers the installation of Elasticsearch and Kibana, and a walkthrough in Kibana 5.0 anatomy.

Chapter 3, Business Analytics with Kibana 5.0, tackles the first use case of this book, namely business analytics, with the help of Paris accidentology data.

Chapter 4, Logging Analytics with Kibana 5.0, covers a technical logging use case on top of Apache logs data.

Chapter 5, Metric Analytics with Metricbeat and Kibana 5.0, walks the reader through the brand new feature of metrics analytics in Kibana 5.0 with the help of system data from Metricbeat.

Chapter 6, Graph Exploration in Kibana, explains the concept of graphs in the Elastic Stack and introduces forensic graph analysis on top of Stack Overflow data.

Chapter 7, Customizing Kibana 5.0 Timelion, shows how to extend the capabilities of Timelion and build an extension to fetch data from Google Analytics.

Chapter 8, Anomaly Detection in Kibana 5.0, covers the Elastic Stack machine learning features and how to use Kibana to visualize anomalies on top of system data.

Chapter 9, Creating a Custom Plugin for Kibana 5.0, explains how to create a plugin to visualize the Elasticsearch cluster topology.