The Big Data Beard Inc. creates podcasts, blogs and videos on Big Data, Machine Learning, Data Science, AI and IoT. They often cover the Splunk platform, so they’re a favourite here at Converging Data. When Tom West, one of our solution architects, was contacted by them to see if he’d like to be involved with their .Conf Roadtrip, he was happy to help.
The team’s plan was to document their journey across the USA en route to the annual Splunk conference, via Splunk dashboards. They set up some IoT sensors and built an edge computing environment, so they had plenty of data to input into Splunk.
That’s where Tom came in. He took the data provided from sources such as Spotify, phones and Apple watches, as well as GPS coordinates and speed information sent by the BDB team. Next, he had to turn this data into something meaningful and display it in dashboards, some of which was easier than others. Throughout this process, Tom created four new Splunk apps to help him (more about these at the end of the post). The result is a group of clear, easy -to-use dashboards showing lots of interesting data.
This project showcases the broad possibilities when it comes to Splunk – there really isn’t a data type that you can’t input and gather meaning from. Here are just a few examples:
Location and Weather
Using just the GPS coordinates provided, Tom enriched this data by bringing in weather and temperature information, a map view and more.
Using data from the team’s Apple watches, Tom created dashboards to show health statistics for individuals and as a group. The ‘Activity Over Time’ graph shows the way you can map information such as steps with heart rate, to start seeing patterns in data.
After developing an app to bring Spotify data into Splunk, Tom could display information like the team’s Top 10 Artists, the genres they were listening to, and how ‘danceable’ a track was!
If you’re intrigued by these examples and are curious about what insights your own data could uncover, we would love to speak to you. Get in touch at firstname.lastname@example.org.
More about the Apps
As mentioned, these are the four apps (totally free for you to use in Splunkbase) that Tom created for this project:
You can also see all of the dashboards Tom created for the podcast here. Log in with Username “guest”, password “BigDataBeard”.