Mining Earthquake Data with Kibana 5 and Timelion | Elastic Blog

Mining Earthquake Data with Kibana 5 and Timelion

Editor's Note (September 7, 2018): This post refers to X-Pack. Starting with the 6.3 release, the X-Pack code is now open and fully integrated as features into the Elastic Stack.

We are really excited about all the new improvements in Kibana 5! And to highlight that, we showed a demo at Elastic{ON} tour stops that combined the power of Timelion time series analytics introduced in Kibana 5 with the core features of Kibana you know and love, such as geolocation analytics. Our attendees loved this demo so much that we decided to record it and share it with everyone. Enjoy!

What’s new in Kibana 5

Before we get to the demo, it might be worthwhile to review what’s new in Kibana 5. The following video is a short walk through highlighting the differences from the previous version. If you are completely new to Kibana, we also have a great Kibana 5 intro webinar.

Earthquake data mining demo

In this demo, we analyze a public dataset from NCEDC that contains data about earthquake magnitude and location for the past several decades. We use Timelion, a new feature of Kibana that introduces an expression language for powerful adhoc analytics of time-series data. For a primer on Timelion, see this meetup video by Timelion creator Rashid Khan.

If you’d like to try this yourself, download the latest version of Elastic Stack, or take it for a spin in Elastic Cloud. To help you get started, we have a tutorial on how to load an initial dataset into Kibana in Elastic Cloud and a repo with installation instructions for this specific dataset.

As always, we appreciate your feedback, so feel free to ping us on Discuss, GitHub, and Twitter. Or, if you want to kick it up a notch and meet us in person, please come to our big user conference Elastic{ON} in March 2017!