The PRQL: Google Cloud Deep Dive and Observability AI with David Wynn of Edge Delta

Eric Dodds 00:02
Welcome to The Data Stack Show PRQL. This is a short bonus episode where we preview the upcoming show. You’ll get to meet our guests and 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 show. We’re here with Dave Wynn. Dave, welcome to The Data Stack Show. We’re excited to chat with you. Well, we know you worked for Edge Delta in observability, but give us the brief overview of where you came from before that,

David Wynn 00:38
Oh, man. Well, if we want to 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, 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, by what until I finally am here at a new startup, where we’re doing observability.

Eric Dodds 01:22
So little by this little bit of that. Very cool.

John Wessel 01:26
Alright, 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. Because you were at Google, I think, during some of the crucial years where that was, you know that that came to be a really, Pinnacle product. So what are some topics do you want to dive in on?

David Wynn 01:47
Oh man, you guys tell me what you want to 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 sequel API with really not having to worry about any of the backend knocks on Athena, Athena is great for what it does, don’t get me wrong. But if I’ve got to 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 gist 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 at the petabyte scale, it just doesn’t matter. So I found that really slick. Awesome.

Eric Dodds 02:40
Well, tons to talk about it. 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.