The Data Stack Show - The PRQL: Cloud Resource Management Is a Data Problem Featuring Lars Kamp of Resoto

Episode Date: July 17, 2023

In this bonus episode, Eric and Kostas preview their upcoming conversation with Lars Kamp of Resoto.

Welcome to the Data Stack Show prequel, where we replay a snippet from the show we just recorded. Kostas, are you ready to give people a sneak peek? I am, of course. Let's do it. Let's do it. Kostas, what a fascinating conversation with Lars from Risotto. I learned a huge amount. And I think my big takeaway is that, you know, I kind of went into this conversation expecting to be, you know, astounded by the complexity of sort of resource management across the entire ecosystem of infrastructure and tooling, which I was. It's a very large scope, complex problem. But the bigger thing was how similar the issue is

actually to a standard data flow in terms of the solution. And so Lars described it as you're ingesting inputs, you're doing some sort of modeling described it as you're, you know, you're sort of ingesting inputs, you're doing some sort of modeling, and then you're pushing those back out, right? And so when we think about the modern data stack, I mean, that's, you know, bread and butter for a data engineer dealing with customer data, for example. So it really struck me that sort of, you know, there's an elegant architecture that already exists for solving this like pretty complex problem. Yeah, yeah, 100%. I think outside of proving today that resource management is a data problem, I think we also proved that everyone is a data engineer.

Every software engineer is a data engineer at the end. You need to, in a way, many of the problems that we are talking about solving actually relate, sorry, contain a big part of data engineering work that has to be done. Data has to be exported, data has to be transformed somehow, modeled, and of course being exposed to the data consumer for value to be created there. And I think especially... I mean, okay, it will sound like it has been said many times, I think, already, where during this decade of everything is going to be around data, but I think we start seeing that

a lot. And we start seeing that by actually getting into domains that don't necessarily feel like they are data problems or data-related technologies that have to be built. But at the end, that's exactly what is happening, right? And I think, especially with AI and all the stuff that's happening right now, we are going to see more and more of, let's say, these domains to come back and like being rebuilt and rediscovered around like the data problems that can be defined there, including like sales, marketing, like pretty much like everything. And yeah, it was super fascinating.

Like we should get Lars back again. He's a good friend. And I think like whenever we talk with him, we always come up like with very interesting insights. No, I completely agree. So much to learn and would love to have Lars back. Such a deep thinker about these problems. Go ahead and subscribe to the show if you haven't. Look it up

on your favorite podcast network, tell a friend, and we will catch you on the next one.