The Data Stack Show - The PRQL: Exploring the Evolution of Notebooks with Jakub Jurových of Deepnote

Episode Date: August 28, 2023

In this bonus episode, Eric and Kostas preview their upcoming conversation with Jakub Jurových of Deepnote.

Welcome to the Data Stack Show prequel, where we replay a snippet from the show we just recorded. Costas, are you ready to give people a sneak peek? I am, of course. Let's do it. Let's do it. What a good conversation with Jakob from Deep Note. I have a couple takeaways. I know maybe we try to do one takeaway usually,

but one was just the history of the notebook. I really enjoyed learning about that. I think that's such a value to go back and look at where something came from. You know, and Jakob talked about sort of Notebook 1.0 and Notebook 2.0. And of course, they're trying to build Notebook 3.0. I thought that was really interesting.

I thought the other big takeaway that was fascinating was, you know, when we talked about the traditional notebook workflow, it's very individual, happening on your local machine, etc. And so we had a pretty long conversation about collaboration. And what is it? Okay, so you have a notebook, it's a great environment for exploratory analytics, another topic we covered. But he talked about these three levels of collaboration, which I thought was a really helpful way, even just to think about from a product perspective, how you consider what to build in terms of collaboration and it was super interesting you know sort of the different users the different use cases synchronous asynchronous those sorts of things so those are the two big things that i'm going to keep from the show i thought they were great yeah um there are like a couple of things that I found extremely interesting. First of all, Jakub gave an amazing metaphor between the entertainment industry and AI and what is happening today and how AI is kind of like a new medium, let's say, and

we need to figure out what are the new ways of interacting with it. And whatever we are doing today, it's probably not going to be what we'll be using in a few years from now, which I find very fascinating. And I want to add on that, that at the end, like the history of like humans trying like to interact and like build and program these machines that we call computers

outside of like what we are building and how like we are building stuff that change our future. Like this evolution happens in parallel with an evolution, like trying to figure out what's the best way of interacting with these machines. At the end, like all these different systems

from like writing low level codes to using IDEs, to using notebooks, to using conversational ways to interact with the machine. It's nothing more than trying to figure out more efficient ways of instructing the machine what to do for us. And I think our evolution in this industry goes hand by hand with the evolution in this industry goes like hand by the evolution in this human-computer interaction kind of space, which is very fascinating and we don't talk that much about it, I think.

We'd be talking more about it. And I think the conversation is happening right now just because we have AI out there and we try to figure out what to do with this thing, right? So we need to figure out like how to interact with it. So anyway, these are like some very interesting topics that we discussed and will make me like definitely like keep thinking about these topics. For sure. All right. Well, thanks for joining us on the Data Stack Show. Lots of good episodes coming up. So subscribe if you haven't, tell a friend,

and we will catch you on the next one.