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

Chapter 6. Handling Time Series Data with Timelion

In this chapter, we will learn about Kibana Timelion, which works on time series data of Elasticsearch. It provides a totally different interface, through which we can chain queries, do transformations, and do visualization in a single place. Timelion provides us with a way through which we can integrate multiple data source (indices) into a single visualization. It also provides a wide range of mathematical functions that can be used on data such as sum, cumulative sum, division, derivatives, and many more.

This chapter will be very interesting. If you learn Timelion's way to interact with data, it is quite easy to deal with many available functions and apply them to create visualizations such as plotting a graph with a series on the current time against which we can draw the plot for the same data series in any other time duration such as yesterday, a week ago, a month ago, or a year ago. It is difficult to get started as there is no UI...