Imagine you walk into your favorite bar. Let’s call it the Data Dive. There are posters of the local sports team, tiki torches (lit with electric flames, of course), and a sprawling dance floor.
You walk up to the bartender.
“What’ll it be?” She asks.
“Aperol spritz, please,” you say. It’s been awhile since you’ve had one (pre-pandemic, maybe?), but you remember it tasting great, particularly on hot days like today.
The bartender grabs a glass and puts it in front of you.
“Ingredients are behind the bar. Have at it.”
Sound familiar? Probably not, but in the context of data, maybe this approach to “self-service” will ring a bell. (View Highlight)