The Data Stack Show - The PRQL: Data Success From Mid-market to Enterprise with Ben Rogojan

Episode Date: May 20, 2024

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Welcome to the Data Stack Show prequel. This is a short bonus episode where we preview the upcoming show. You'll get to meet our guest and hear about the topics we're going to cover. If they're interesting to you, you can catch the full-length show when it drops on Wednesday. We are here with Ben Rogozhan. Ben, you were on the show, actually, this is crazy, a couple of years ago. It's crazy to say that. So you were one of our very early guests, and it's so great to have you back on. Thanks for joining us.

Yeah, no, thank you. Thanks so much for having me jump on. All right. Well, for those new listeners to the show who didn't hear your original episode, tell us a brief background. So where did you come from and what do you do today? Yeah. So, hey, everyone. Thanks so much for joining the show. But my name is Ben Rogajon. A lot of people know me as the Seattle Data Guy online. Currently, I help companies kind of set up their end-to-end data infrastructure, help them, you know, figure out which solutions to pick. There's just so many these days and sometimes help implement. And before that, you know, I've worked as a data engineer for the past near decade.

My last job was at Facebook and working as a data engineer. Before that, working at kind of a healthcare analytics startup, doing a lot of similar work. And honestly, I started out at a hospital doing a lot of like programming and dashboarding and things of that nature. But that's really kind of where I started my data journey. So Ben, we talked a little bit before the show about your background with Facebook and then the journey into consulting. So I'm really curious to dig in a little bit on that of like, what problems did you work on at Facebook?

And then now that you're consulting, working for various companies, like which of those problems, you know, really cross between the two? You're like, yeah, this works well. Or which of them are like, man, that's more of a Facebook, you know, bigger tech company problem and it's not applicable. I'm really excited to dig into that topic. What about you? What are you excited to talk about? Yeah, no, I think that's definitely one of the subjects I'm kind of interested in

talking about is like really comparing some of the differences, you know, like in some ways, the similarities in terms of outcomes you're always trying to get to, but also in terms of like how you get there, maybe the amount of data you're dealing with or just the complexity and the various challenges that companies of different sizes and data maturities kind of face. Yeah, awesome. All right, let's dig in. Let's do it. All right, that's a wrap for the prequel.

The full-length episode will drop Wednesday morning. Subscribe now so you don't miss it.