The PRQL: A Data Mesh Deep Dive with Paolo Platter, Zhamak Dehghani, and Melissa Logan

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 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. Costas, we love covering topics that we have not covered on the show before. We’ve done over 150 shows at this point. And it’s kind of crazy that we haven’t covered the topic of data mesh. But that coalesced DBTs conference, they announced a data mesh product. And so we work with Brooks to get literally the author of the data mesh book on the show, so that we can get the straight line story on what data mesh is. Which is great. I mean, this is a topic that a lot of people are talking about, there’s certainly a lot of conversation around it. And I think what we need to do, at least what I’m going to try and do is just put a sharp definition on it. That image means a lot of things to a lot of people. And so if we have the author of the book, the person who coined the term, we can sort of, you know, level set on what data mesh means. That’s what I’m going to do. But I’m sure you’re going to have technical questions, because data meshes fundamentally technical. So what are you going to ask about?

Kostas Pardalis 01:29
Yeah, I want to ask about, like, the products that support the date on which there are masters like, okay, like similar, let’s say movements in like, how we change the day, the way that we are thinking and operating like in the business environment. It has like many parts, right, like you have like the people part and also like the technology part, I think there has been like a lot of focus on the people part and like the change of like culture and like the wave of like organizations need to change and like all these things for the datum is like, we made it and deliver its value. But we have also like the right people today to talk about products, like what kind of products someone could use that either support or enable the implementation of the promise. And that’s what I would like to focus on. And also probably, if you have the time, like the focus a little bit more also on some terminology, like what’s the data products, for example? And how do you implement a data product, and it’s these kinds of things that are like very fundamental as part of like the database architecture. We have the right people to understand the elements from both the organizational people aspect, and also the technology is playing so I’m pretty excited. Let’s go and talk with them.

Eric Dodds 02:46
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.