New Music through Data Analytics
At some point in my adult life — embarrassedly early — I might add, I realized I am not cool anymore. My music tastes hadn’t changed since 1992. I spent Saturday evenings watching TV until 10 PM. The frumpy Geek t-shirts I liked to wear accented my belly more than my muscles.
I vaguely remember being cool, and I think I liked it, but life is short, and I’d like to focus on coolness in a limited way. For the frumpy Geek look, I like crunching data in front of my computer way more than crunching in the gym, so not going to change that. As far as lame Saturdays watching TV until 10, TV has gotten awesome over the years, and I like my sleep. However, when I discovered a cool radio station, I could use my skills as a Data Engineer to build an analytics pipeline to do some digging into what’s going on in the Seattle music scene — even since 1992, still the coolest scene today.
That’s when I discovered KEXP, and it is my soundtrack for all things data. I wanted to write this article during the recent pledge drive, but setting up a data pipeline takes time. So in this article, I want to detail how to build a data analytics pipeline from the top down so that you can see how to realize a business goal by connecting three powerful software platforms. If you’re not technical and want to see the data, skip to the Tableau Analytics link at the end because it will get a bit…
