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.
(upbeat music) - Welcome to the Datastak Show Prequel. This is a short bonus episode where we preview the upcoming show. You'll get to meet our guest and hear about the topics we're gonna cover. If they're interesting to you, you can catch the full-length show when it drops on Wednesday. Welcome back to the show. We're here with Dave when Dave, welcome to the Datastak Show. We're excited to chat with you. - Absolutely, glad to be here. - All right, well, we know you work for Edge Delta and observability, but give us the brief overview of where you came from before that. - Oh man, well, if we wanna go back far enough, there was a cold and snowy night in February of 1984 and a cry rang out at four in the morning, which is unusual for that time of year. But if we fast forward a little bit from there, so I've been a lifelong geek and I've bounced around a number of different places from doing econometrics at UPS headquarters in Atlanta to hopping around a few startups in Silicon Valley with some ETL software and some observability software. And then I was at Google Cloud for a number of years, doing all things there, both on the compute and on the data side. But what, until I finally am here at a new startup where we're doing observability. So a little bit of this, a little bit of that. - Very cool. - Nice, so one of the topics we talked about before the show was your time at Google and we talked a little bit about BigQuery. So I'm interested in digging in a little bit more there 'cause you were at Google, I think, during some of the crucial years where that was, that came to be a really pinnacle product. So what are some topics you wanna dive in on? - Oh man, you guys tell me what you wanna talk about, but BigQuery is definitely, in my opinion, one of the best, if not the best, data warehouse products that exists in the clouds because it's the closest you can get to a SQL API with really not having to worry about any of the back end. No knocks on Athena, Athena is great for what it does. Don't get me wrong, but if I'm gonna open another tab and start managing all of the S3 stuff and have my all my Parquet files in just the right format, I'm not having the best day if that's what's happening. So BQ just makes it super easy to dump data in there at the appropriate time, in the right increment, in the right spot, and you can just go about and start querying it whether you're talking to Ed, the gig scale or the petabyte scale, it just doesn't matter, so I found that really slick. - Awesome, well, tons to talk about, let's dive in. - Yeah, 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. (upbeat music) (upbeat music) [BLANK_AUDIO]
