Book Image

Mastering Kibana 6.x

Book Image

Mastering Kibana 6.x

Overview of this book

Kibana is one of the popular tools among data enthusiasts for slicing and dicing large datasets and uncovering Business Intelligence (BI) with the help of its rich and powerful visualizations. To begin with, Mastering Kibana 6.x quickly introduces you to the features of Kibana 6.x, before teaching you how to create smart dashboards in no time. You will explore metric analytics and graph exploration, followed by understanding how to quickly customize Kibana dashboards. In addition to this, you will learn advanced analytics such as maps, hits, and list analytics. All this will help you enhance your skills in running and comparing multiple queries and filters, influencing your data visualization skills at scale. With Kibana’s Timelion feature, you can analyze time series data with histograms and stats analytics. By the end of this book, you will have created a speedy machine learning job using X-Pack capabilities.
Table of Contents (21 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Exploring the dashboard


The main reason for any dashboard creation is to have a better understanding of the data we have. It could be any data, such as system metrics, log data, application data, or transactional data. But just by looking at the data, we will not get any insight because if it is too small, only we will be able to get any information out of it, which means that it is going to be a really tough task to make any decisions using that data. To make life easier and to understand the data we used to create the dashboard, we use the top management and decision makers to understand the data and make quick decisions. As we have created and saved the dashboard, we are now going to explore it in different ways. The dashboard shows the graphical representation of key performance indicators for our data and in order to get these details, we have the option to drill down further in Kibana. We have different ways to drill down further, and some of them will be covered in the upcoming subsections...