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

Eric Dodds 00:05
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 guests 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 RTM, the co founder and CEO of cube already and thanks for coming on the show and welcome.

Artyom Keydunov 00:29
Thank you. Thank you for having me today. My name is Artyom. I’m Co-Founder and CEO of a company called Cube. Also co-created Cube open source project back in 2019. Then a year after I started a company with my co-founder. So it’s been it’s been a journey of you know, like building universal semantic layer and how it was going through the cycles of evolution and the last few years. So yeah, exciting to be here and to chat all about medical errors and data. Yeah, that’s so someone’s we’ve had you before, it’s been like, almost like a year since you were on the show. And like many things have happened in the industry. So I’m very curious to see like how semantic layers have involved in this one here. And also, what’s next, especially like after the, let’s say they this whole, like revolution that’s happening right now with AI LLM and like all these new like technologies around data. So I’m really looking forward to like chatting more about that stuff. What about you? What are like a couple of things that you’re really excited to chat about today?

Kostas Pardalis 01:41
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 Claire’s 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, categories maturing overall. And Acube. You know, like, I hope 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 our allowance, right, like and AI and I felt like it contributed to the, you know, the ideas and the need for the semantic layer because LLM ze all about semantics. They essentially like a text in text. Our try 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 you think, Eric?

Eric Dodds 02:49
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.