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In this bonus episode, Eric and Kostas preview their upcoming conversation with Colin Zima of Omni.
The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com
Eric Dodds 00:05
Welcome to The Data Stack Show PRQL. 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. Welcome back to The Data Stack Show. Kostas, I’m so excited because we get to talk with Colin, he’s at Omni, but he, I mean, literally helped build looker. Over almost a decade, seven or eight years, and Looker is I mean, has had a huge impact in multiple ways on the data industry from you know, analytics to architecture to modeling. It has spawned entirely new categories of companies. And I am so interested to hear about what Colin learned at Looker that he is building his new company on, right because I mean, Looker is still a great tool. Right? So the people who built Looker, like what are they trying to build? I think that’s what I want to figure out. How about you?
Kostas Pardalis 01:15
Okay, I’m very interesting to see how someone who is involved in such a successful product and company starts another company than other products in the same industry. So I want to learn about that. Like what’s why and how. So I think it’s going to be super, super interesting to have this conversation with him.
Eric Dodds 01:36
Yep, I agree. 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.
Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
To keep up to date with our future episodes, subscribe to our podcast on Apple, Spotify, Google, or the player of your choice.
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