The PRQL: Exploring the Evolution of Notebooks with Jakub Jurových of Deepnote

Eric Dodds 00:05
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? Let’s do it. What a good conversation with Jakub from Deepnote. I have a couple of takeaways. And maybe we tried to do one takeaway, usually that 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 Jakub talked about sort of notebook 1.0, 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, 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 talked, we have a pretty long conversation about collaboration. And what is it? Okay, so you have a notebook, it’s a great environment, you know, for exploratory analytics, and other topics 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 there were great. Yeah.

Kostas Pardalis 01:42
There are like a couple of things that I found, like extremely interesting, like, first of all, Jakub gave an amazing metaphor. Between the entertainment industry and AI, what is happening today? And how like AI is kind of like a new medium, let’s say, and we need to figure out what are the new ways of like interacting with AIDS. And whatever we are doing today, like, it’s probably not going to be what we’ll be using, like in a few years from now, which I find like, 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’s changed our future like these evolution happens in parallel with 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 code, to using IDs, to using notebooks to using conversational ways to interact with the machine. It’s nothing more than like trying to figure out like, more efficient ways of instructing the machine what to do for us, right. And I think our evolution in this industry goes like hand by the evolution in this human computer interaction kind of space, which is really fascinating. And we don’t talk that much about it. I think, like, yeah, we’ll be talking more about it. And I think the conversation is happening right now, just because we have aI out there, and we’ll try to figure out what to do with this thing. Right. So Ralph, like, how did the rock married? So anyway, this is like some very interesting topics that we discussed. And it will make me like definitely, like keep thinking about about these topics.

Eric Dodds 04:01
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!