The Data Stack Show - The PRQL: Data Sharing Deep Dive and Building Secure, Scalable, Flexible Data Solutions with Patrik Devlin of Wilde AI

Episode Date: November 11, 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. Welcome back to the show, everyone. We are here with Patrick Devlin from Wild AI. We actually talked with your co-founder recently on the show. So excited to dig into some more of the technical details with you, Patrick.

Thanks for joining us. Yeah, thanks for having me. Pleasure to be here. All right, well, give us just a quick background on how you got into the world of data and ended up building a product that uses a ton of data. So I've been in software for about a decade now. Been in the startup world pretty much my whole career. And yeah, I got together with Clint, like you mentioned, beginning this year.

And we started working on a predictive LTV product, doing a ton of stuff data-related there. And most of my career has been on the software engineering side. And as of late, I've definitely entered the world of data engineering and data stack. And yeah, I'm excited to chat about what we're doing here at Wild. And hopefully some of the information could be useful to the listeners. Yeah. So Patrick, one of the topics that I'm really excited about. Okay. Maybe two topics. One of them is DuckDB and MotherDuck. I always appreciate a conversation about that.

And the other one is your experience with clean rooms. We've talked a little bit about the marketing around clean rooms and we're excited to compare marketing versus reality when it comes to clean rooms. So what are some topics you're excited about? Yeah, definitely. I mean, DuckDB and MotherDuck is a huge part of our stack and our architecture. So it's going to be great. And yeah, I think just like

this whole like data sharing space is really interesting. And the concept of these like embedded OLAP databases really unlocks some interesting stuff to innovate on how data sharing actually happens. And I think there's probably some inspiration being taken from data clean rooms. Ultimately, we decided not to go that route. But yeah, you know, happy to take you through that story and journey on how we made that decision. Definitely. Well, let's dig in.

All right, let's do it. All right, 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.