Home / Companies / Elastic / Blog / Post Details
Content Deep Dive

Analyzing Aftershock Data with Elasticsearch and Kibana via CSV Import

Blog post from Elastic

Post Details
Company
Date Published
Author
Tony Sleva
Word Count
2,314
Language
-
Hacker News Points
-
Summary

Tony Sleva recounts his personal experience of a significant earthquake in Alaska and the subsequent aftershocks, using it as a backdrop to introduce a basic tutorial on importing and visualizing earthquake data with the Elastic Stack. Despite being an entry-level guide, the blog demonstrates how even novices can use Elasticsearch and Kibana to analyze data, in this case, earthquake data from the USGS, by importing it as a CSV file. Sleva describes the process of setting up a free trial with Elasticsearch Service, importing the data into Kibana, and exploring pre-made visualizations to better understand the frequency and magnitude of aftershocks, ultimately finding comfort in the data trends showing a decline in aftershock activity. Through this experience, he emphasizes the accessibility and utility of the Elastic Stack for data analysis, even for those without a technical background.