The Data Stack Show - The PRQL: Why is a Semantic Layer Important in the Modern Data Stack? Featuring Artyom Keydunov of Cube Dev

Episode Date: January 22, 2024

In this bonus episode, Eric and Kostas preview their upcoming conversation with Artyom Keydunov of Cube Dev.

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're here with Artiem, the co-founder and CEO of Cube. Artim, thanks for coming on the show and welcome. Thank you. Thank you for having me today. My name is Artim. I'm co-founder and CEO at a company called Cube.

I also co-created Cube open source project back in 2019. Then the year after, I started a company with my co-founder. So I've been on a journey of building Universal Semantic Layer and how it was going through the cycles of evolution in the last few years. So yeah, exciting to be here and to chat all about Semantic Layers and data. Yeah, that's awesome. And we've had you before. It's been almost like a year since you were on the show, Artem. And many things have happened in the industry. So I'm very curious to see how semantic layers have evolved in this one year. And also,

what's next, especially after this whole revolution that's happening right now with AI, LLMs, and all these new technologies around data? So I'm really looking forward to chatting more about that stuff. What about you? What are a couple of things that you're really excited to chat about today? Yeah, it was a great year for semantic layers, for sure. And I'm very glad, you know, like how the data community evolved in their thinking about the need for semantic layers. And I saw different vendors, different companies coming up with semantic layer solutions. And it's definitely happy to see the kind of, you know, the categories maturing overall uh and a cube you know like i hope we we contribute a lot you know like to the thinking you know like to the framework how the semantic

layer should fit into the modern data stack and obviously you know like the elephant in the room this year was llms right like an ai and i felt like it contributed to the you know like ideas and the need for the semantic layer because llLMs, they're all about semantics. They essentially like a text in, text out, right? And text is semantics. So that's why, you know, like I see that was a strong tailwind. Okay, we really need semantics,

not only for humans, but for AIs as well. And let's talk about semantic layers, right? And like how we can get semantics about our data. Yeah, no, that's awesome. I think we have plenty to talk about. So what do semantic layers, right? And like how we can get semantics about our data. Yeah, no, that's awesome. I think we have plenty to talk about. So what do you think, Eric? Let's dive 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.