The Data Stack Show - Data Council Week: A Decade of Supporting the Data Community with Pete Soderling

Episode Date: April 18, 2024

Highlights from this week’s conversation include:Pete’s background and the origin story of Data Council (1:04)Reflecting on 10 years of Data Council (2:07)Impact of the pandemic on conferences (5:25)Rebuilding after the pandemic (7:42)Evolution of Data Council (10:33)Balancing content and sponsorship (16:17)Selecting speakers and content at Data Council (19:39)Highlights from the conference this year (21:58)Realization of AI Future (22:45)Embracing AI at Data Council (23:31)Announcement of Prime Ventures (25:43)Improving Data Council (27:45)Trends and Technologies (29:46)Cautions for Startups (31:47)Connecting with Data Council and Final Takeaways (33:09)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.

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The Data Stack Show is brought to you by Rudderstack, the CDP for developers. You can learn more at rudderstack.com. All right, what's up, Data Stack Show listeners? And welcome to the final episode of Data Council Week 2024. If you missed the other episodes, they're online. So go check them out and subscribe to the show while you're at it because we've got some great stuff coming down the pipe in May. And this is our third consecutive year recording actually at Data Council, which is kind of hard to believe. Eric and Kostas both had conflicts this year,

so did not make it to the conference. So I'm filling in. I'm the producer of the show coming out from behind the scenes to bring you a few special episodes this week with Matt KG, my colleague, and I'm Brooks, the producer. But today we have a really special treat. We're here with Pete Soderling. He's the founder of Data Council and really the driving force behind getting the data community together in Austin every single year for 10 years running now. That's a whole decade. It's just such a massive milestone, Pete. So we're really excited to sit down with you today. Congrats on another year of Data Council, another amazing conference, and welcome to the show. Thanks, Brooks. It's great to be back. I always love talking to you guys and have appreciated your support at the conference itself and talking to speakers and then really just showcasing some of the awesomeness that's happening at Data Council

over the last few years. So thanks again for that. Yeah, absolutely. We love attending and getting to be a part of it. Well, Pete, last year, we talked about the origin story of Data Council last year. So I would encourage our listeners, if you want to get kind of the full-blown origin story, go check that episode out from last year. But we're a decade in now and would love to hear just some highlights from you pete of i mean just reflecting on 10 years of of running this event you know from kind of where it started to where it is today what are some of your favorite memories yeah well one of the interesting things just to step back in time for one second, because I don't think I covered this last time. One lesser known fact about the Origin Data Council is that one of the things that turned me on to starting my own conference

is I had helped other people with their conferences prior. And one of the conferences that I had worked with was QCon. And I was lucky enough to be a track host there and was able to select some great speakers. And as I was thinking about sort of the great moments across not just Data Council, but my own conference experience, even before Data Council, I think the greatest thing that's really impressed me and stood out to me over the years is this chance that we've had to see so many engineers basically grow up in their careers to become heroes. And, you know, it's been so many people that have crossed these events, you know, especially Data Council. But I think of folks like Eric Bernhardt from Spotify, who spoke at our first

meetup in New York City, probably in 2013, before we'd actually even turned the DataEng meetup into a conference. I think of Greg Brockman, who became the co-founder of OpenAI, who spoke on one of my tracks previously. I think of Nick Schrock from Facebook starting Dagster, Ido from AWS starting Pinecone. There's just like so many folks that it's really been amazing to see them grow up, to develop their careers, and then to sort of come out the other side

and become founders of amazing breakout companies. And that's something that I'm so fortunate to have the front seat, front row seat to see. And so, you know, it's hard to sort of pick one, one particular highlight, but that's definitely a highlight for me is having seen all these engineers grow up and really do amazing things with their lives and in their careers. Yeah, it's so cool. And I mean, just, yeah, listening to you just list off, and that's just a small handful of all the people who have kind of come through Data Council, but a number of whom have been on the show before, which is cool for us.

It's dozens and dozens of engineers who have started companies coming out of Data Council. And there's a lot of great names in there. I mean, even Wes McKinney and others, right, who have participated in Data Council at various points in their career. And Wes has started multiple companies, obviously, over his career

and was back at Data Council this year, packed the room out. So anyway, you know, that's been really great. In terms of like, you know, a specific story, I was kind of thinking of what I might want to share with the audience. And, you know, one of the most interesting things I think that's happened in recent memory was the pandemic. And the pandemic was absolutely devastating for conferences. And many, most maybe conferences, obviously had a very hard time making ends meet and many didn't survive. And I think Data Council as being sort of a scrappy for cash, bootstrapped business that didn't have any venture funding.

I mean, I say it's my fourth startup, but, you know, it was purely bootstrapped and didn't really have the benefit of, you know, of a flush bank account. And so during the pandemic, I was forced to make some really difficult decisions. We had to lay off the staff. You know, I basically put Data Council on mothballs. We tried to do one online event, one virtual event, and I realized never again will we go down that road because it just was not satisfying for me or the community. So that was sort of a chance to sort of crystallize, you know, what your IRL values really are. And I think that's become one of the things that people really appreciate about data council at the end of the day. But, you know, coming out of the pandemic, it was unclear to me if it would make sense to ever run a data council again. And

we somehow, you know, pulled it together with a super small, even smaller Scrap Eater team than normal, just a bunch of contractors and myself basically ran the conference in 2022 with a couple, one or two people behind the scenes. But it turned out that that conference was just a breakout event for Data Council. And I remember the palpable energy and smiles and hugs that people had coming out of the pandemic. And I think I probably told that story on the show before, you know, how special of an event it was, but it really gets special and special as we get further and further away from it, because it was so it was such a breakout year for Data Council. And it really showed me the power of this community and, and the power

of the small brand that we had built. And I just felt so fortunate that, you know, basically we had somehow saved data council with the community and folks were ready to come back and storm the gates again and be back with us IRL. So that was a pretty special time for me and something that I, to be honest, I didn't fully expect. Yeah. That's so cool. And yeah, that was in early 2021, right? I mean, kind of right when things were able to be safely opened back up, right? Yeah, we ended up running it in Q1 of 2022. 22.

Running it through 21. And then there were some false starts. Like there were further outbreaks of COVID. And so there was this tight window that we had to actually run the conference in where people were sort of game to meet up in person and things were a little bit unstable. And so it was quite challenging. I think we were one of the first conferences to probably go out the door IRL in the tech world, at least in the data world. And so there was a lot of risk involved there.

But the community really backed us up and I couldn't be more grateful. Yeah. So would you say that it sounds like that you really kind of galvanized your maybe even like belief in Data Council and has kind of fueled the past few years of a really just amazing, vibrant conference? Yeah, it really did. I mean, we've always had, you know, sort of similar positioning, right? We've always been this no BS data conference. And we talk about that every year. And I smile when I say it and people smile when they hear it because everyone's been to a shitty data conference before. So, you know, it's, I think when people really step into the room and see who they're next to and see the quality of the people they get to hang out with Brooks, I think you mentioned to me,

it's like, you're able to access data's leading minds, like all in one room and all at one event. And just the camaraderie that you have with these folks and chatting with basically heroes of the data world, data science, data analytics, data engineering. This year, we had a lot of AI speakers, which was really exceptional. You know, those are the things that really make Data Console special. And so, yeah, I was all in full force this year again, and very excited to come off that event.

Yeah. So we've talked about, and maybe it sounds a little ridiculous, but I mean, truly are kind of like data heroes. I mean, people that have built just foundational technologies and are, you know, continuing to just drive innovation in the data space, really, I mean, kind of kind of rock stars within, you know, within the data community. One thing I mentioned to you is just how cool it is for someone like me or Matt to be able to come to a conference. And it's not just be around these people, but have really access. I mean,

they're running workshops, but they're also have office hours where anybody can come and talk, you know, one-on-one, get their input, get their advice and kind of perspective. But who, so we've talked a lot about these data here. Who else comes to Data Council? And what would you say, you you say to some of our listeners that may not have been to the event before? Yeah, well, I think Data Council has evolved and morphed with the data world since we've been going for so long.

And there's always this requirement to kind of evolve and reinvent yourself a bit each year. And so we started off as the data engineering meetup. And I remember there were all these folks who were ex-SQL DBAs and Java engineers and distributed systems engineers in 2013. And they'd come to me at the meetup and they'd say, this is the data engineering meetup, right? And I'd be like, yeah.

And they'd say, well, am I a data? I'm a DBA. be like yeah and they'd say well am i a data i'm a dba i'm an xdba am i a data engineer and you know everyone was kind of are you my mother kind of a you know kind of a moment where we had put ourselves we had just basically hung a shingle over the door like this is the data engineering meetup like we we scarcely know what data engineering is but come and like let's figure it all together because it was such a new thing at the time yeah well, from there, we've gone into all the layers of the data stack. And so Data Council has been a full stack data conference now for many years from those humble origins. And so you get everyone playing at every layer of the stack from data eng to infrastructure, to analytics, to science and models. Now, obviously, there's all these AI-driven

product features. We had a data culture track this year, which is amazing. So it really tends to attract a cross-section of folks who are deeply technical, first of all. Most of the folks at Data Council are engineers or scientists or in some way technical. But it really is a cross section of roles from startup founders to CTOs, to heads of data, to systems designers, to data scientists, to AI researchers. And then now, increasingly, we have investors at Data Council, we have community builders at Data Council, in any sort of shape and flavor and form of data hacker, at large, people who have jobs, people who don't have jobs, students who come sometimes from the local community and help volunteer.

It's a really interesting cross-section of the data world. And I think that because it's a vendor-neutral conference, which is another one of our core tenants, you don't see anything tipped or the tables are not slanted towards one vendor or one lake house or one redshift or anything. And it's quite an egalitarian, eclectic group of folks. And I think that you get that energy and that feel that there's just a lot of diversity in the Data Council community. At least that's how I see it. And it seems like from the comments from others, they feel that too. Yeah, for sure. I love how you said, you know, there's this kind of, are you my mother? Maybe, you know, especially starting out as data engineering is that was really being defined. Matt, I'm curious to know, and you're kind of, you know, over a decade in data, have you ever had that? Are you my mother kind of moment like am i a data scientist what actually am i well mine came more coming out of grad school

where like i didn't know what job titles i should even be looking for what i was trying to do so i mean this was like might have been shortly after kind of data scientist was first introduced, but like there was still kind of a, what, you know, people didn't know what to call anybody really. So it was really hard to kind of figure that out and kind of wade through it a little bit. You know, and then we started with all of these catch all titles and then we kind of started breaking those down. So I remember we used to joke data scientist was the webmaster of data and things like that because it was just, what is it? Anyone can be a data scientist, but no one could be.

It was really confusing at the time. Yeah, I mean, would you say, Matt, we both have been at the rud it's a good bit this year. And me, we have, we talked to, like you said, a cross-section of data roles. And, you know, it's clear, like, everybody is getting something helpful from an educational standpoint, but also, you know, able to make connections with so many people in the industry.

Absolutely. That's really magic. And you almost have to experience it to believe that it can really be as good. I mean, I'm obviously talking my own book, so to speak, which is a shame because people won't tend to believe me as much and they shouldn't. But I just say ask the community you know linkedin and twitter have been on fire the last week and people sharing pictures and talks you know talk favorites and all kinds of things so yeah it's a special event and i hope that everyone out there can experience it for

themselves at some point yeah i think it's also impressive how i mean i've been to other conferences in my life where like you go to first or second year and you can really talk to people and you can really kind of like the speakers are interesting and you can get really close to them and really ask them questions and stuff and then you come back five years later and it's like it is literally 80 just vendors and that's all that's going on and there's a few people up on a high up on a high stage and they talk for 20 minutes and they're rushed out the door and you never see them again. Yeah. And we've, we've had to actively, you know, sort of fight against the,

the domination of vendors, but still really appreciate the supporters, the sponsors that come because, you know, because we're vendor neutral, it doesn't mean that we're anti-vendor. It just means that we don't get to be a marketing arm or a, you know, platform DevRel arm, like off the edge of some large cloud vendor. And so, you know, we have, we basically are sort of require sponsorship support from the community. And we're really careful about how we integrate those sponsors and those partners in a high quality way so that they can meet their goals and, you know, engage with attendees and have workshops and do all that great stuff. But the attendees don't feel like they're being dominated by, you know, an overly sponsored conference with a lot of suits running around trying to sell them things. And that's always

been the challenge and the magic of Data Council is that we've been very conscious about that evolution over the years and we've really fought hard to have it both ways. And Data Council, to be honest, it doesn't make a lot of money. Usually, like most years, it's a breakeven business, if that.

And so that's sort of been part of the constraint, I think, that's kept the creativity high. And it really keeps the attendee experience at this level where they believe that they're going to have high quality, neutral, objective content, and they're not going to be blasted by one vendor. And that's part of the secret. Yeah. I think, you know, the proof in the pudding for that is you can just look through the content tracks. You know, what are the talks on? Who's doing those talks?

And sure, some of them are from vendors who maybe are sponsoring the conference. Some of them are from vendors who aren't sponsoring the conference. And some of them are, you know sponsoring the conference. Some of them are from vendors who aren't sponsoring the conference, and some of them are totally independent. But the subject of the content is another, I think, telling piece there. you know processes different things that aren't you know necessarily directly tied to what they are trying to sell you know to to get a paycheck and i think that's you know just a quick look through through the content tracks is kind of proved there absolutely i think also especially for anything in technology and like that like just like how do you kind of deal with that

the balancing of you want to make sure that you've got like things that are innovative and new and are going to possibly be trailblazers while not like leaning in and just hitting a height all the time with it yeah I mean part like we have a couple tricks I think in the way

that we code, we select and code speakers for Data Council. You know, one of the things is that we sort of distribute the selection process across this plurality of track hosts, right. And so we had about 10 track hosts at Data Council this year, who sort of joined me on the speaker committee in choosing talks and selecting speakers and screening speakers. And so, and they're all hands-on, they're more technical than I am, right? They're actually practitioners in the field and leaders in the field themselves, these track hosts. And so they're, you know, they're able to sort of scope out their networks. They have their ear to the ground in the latest research.

They're the ones who are the arbiters of content on their track, and they're the best positioned to do that. So that's one way we do it is by farming it out so that it's not just a couple people on a conference committee or in a room making all these decisions. The other thing is that even the vendors, like I've coached vendors over the years. If you want to speak at Data Council, send us a talk abstract that doesn't talk about how to use your project, your product. Like we don't, like these are mostly advanced data people. You know, these are not junior engineers who need to know how to connect to APIs or want to, you know, an overly pedantic tutorial on your product and how it works and what the features are, send an engineer to tell us how they built your thing. How did they build the tool? What architectural trade-offs did they make? What, you know, what do they consider before implementing it

a different way? And so once you start to get that sort of peel off the layers of the onion, and even if you're talking about a data tool, but you're talking in some interesting way about the architecture behind it and how problems were solved when building it, it creates a halo effect around your tool, Mr. and Ms. Vendor, so that's good. But you're also giving the world some interesting engineering depth that usually tends to be very prescient and modern and interesting to the attendees because they're all like serious engineers and serious data scientists at Data Council. So I think those couple of things have kind of helped us keep the content fresh and relevant. And sometimes it surprises me, like the quality of the content that we get just because, you know, because of these sort of, you know, workflows that we've put in place that prevents it from just being me

trying to pick what seems to be fashionable, which lakehouse format is the best. Who wants to be in that position? Not me. That's good. Tell us something about the conference this year. Some amazing content. We've talked about AI a bit. I think one of the interesting things I've noticed this year is, yes, everybody's talking about AI.

Data Council is talking about AI. But not, I mean, it's very clear. This is not just like doing service to the hype, right? And I think that kind of goes on the theme of the No BS Data Conference. But yeah, tell us a little bit about the conference this year. Maybe it's AI, maybe it's not. But just some highlights from you or maybe some learnings that you've had so far.

Yeah, I mean, absolutely. We want to stay relevant. We want to hit the hot topics without selling out to the hype. And that's, again, always been this trade-off that we've had to make or tried to make a data council. And so this year, the theme of the conference was AI meets its maker, which is data. And we had a lot of fun putting those words together

and sort of setting that up as a theme of the conference and as a team and trying to think of how we were going to position things. And the idea was that we wanted to honor all of the past of 10 years of Data Council, all the time that we've spent nurturing the community around tooling, data infrastructure, data analytics, machine learning workflows, all these amazing things, in the realization that we sort of always knew that we were building for an AI future. And, you know, funny story, like, my mom asked how the conference

was. And, you know, my mom doesn't really understand a lot about tech. And she's like, so was it all about AI this year? And I said, Well, yeah, mom, but you know, like, I've been talking about, you know, remember 10 years ago, when I started conference and I was talking about data science and then I was talking about machine learning and now we're talking about it. Well, they're all kind of the same thing. And we've been in this space for a long time and the world just sort of woke up, especially the consumer world to the fact of AI through chat GPT. But we've been building towards this future for a long time and we've been believers in the power of data, because it's data that makes all the AI work and meaningful. And so just at a very simple level, I think we wanted to highlight that fact, and many others, HoneyHive, folks building AIOps companies, which is sort of the next reality and the new stack around AI,

but without forgetting where we came from, which is that we've all sort of as a community been building toward this future for a long time. That's almost exactly what we talked to Tristan Zayas from Continual earlier this week. And almost exactly what he said is, he started over a decade ago, really kind of with today in mind. And, you know, he's just expressing how exciting it is to kind of be here today when it's kind of what, you know, the whole data world and community has been working towards for over a decade.

Yeah, that's so true. And just to share the other quick highlights of the conference this year, besides just the theme, I mean, we had packed rooms, lots of office hours, as you mentioned, community parties, multiple community parties every night, which were super fun. And everyone had a great time. It was hard to get up in the morning to go back to the auditorium for more talks. But the talks were so good that people had no choice. We really had them there. And, you know, we had really cool keynotes. Roger Magolis, who used to help organize and

was really a co-founder of the Strata Conference, participated this year sort of behind the scenes with me when he got to do a really cool keynote session with Bhaskar Ghosh, who's BG from LinkedIn. He used to be the head of data infra at LinkedIn. So we had some old, we had some new, we had really interesting cross-section of content. The lightning talks were really great as usual. But one of the things that was particularly special to me is I got to announce Zero Prime Ventures, which is the new name of the venture fund that we've been building quietly next to Data Council for the last couple of years. And we announced our Fund 2 fundraise, successful fundraise at the conference. And now we have a fresh pool of capital to deploy into more startups that are coming through Data Council. And one of my personal goals in life is to help

10,000 engineers start companies. And so this new pile of capital allows us to continue to invest in the Data Council community and beyond and really support engineers who are at that pre-seed and seed stage, because I've been an engineer founder myself and I know how hard it is. So that was very exciting for me to be able to have that as kind of a subtext of the conference. You know, we announced the fund just before the conference the week before and the energy was still palpable during the conference itself. So that was, for me, that was a really gratifying time. That is an audacious goal, 10,000 engineers starting companies, but just from being around

even for a few years, I know you are well on your way there, Pete. No, thanks. I appreciate that. And hopefully the growth of the platform and Data Council will believe me and get me to be able to reach that goal. Yeah. Well, we're hitting at it now, I think,

but would love your thoughts on just kind of first what's next for data council. And then maybe just coming off of a week packed with so much learning from, you know, like we talked before, really the leading minds, kind of folks who are leading the charge, pushing data forward. Would also love to just hear kind of your thoughts and commentary on what's next for data. Yeah, for sure. I mean, I think we're always trying to improve the UX of Data Council. We think of Data Council as a product. And there's all kinds of stakeholders involved,

from the speakers to the attendees to the sponsors to the track hosts. And someone tweeted something about the UX of Data Council this year and how they felt that it was special. And that's by design. High-quality UX doesn't happen by accident and I think obviously engineers know that and so we're in a really amazing community that recognizes that.

And there's a bunch of things. We want to make the conference more valuable for speakers and more valuable for partners and sponsors. And we have a bunch of ideas. We haven't announced anything yet, but we'll be sort of incrementally improving the conference experience towards next year. We just expanded to the three-day format two years ago.

So we're really like growing into that. And I think that will likely stay the same. That gives us a lot of surface area for content, tons of office hours. So I think it'll be like a lot of the same, just better. We'll continue to find the best speakers that are on the cutting edge of data and AI, especially as sort of this new AI stack evolves. So yeah, those are some of the ways that we're thinking about next year's edition of Data Council. In terms of, you know, highlights and what might be next for data. I mean, there's a couple things that jumped out at me, you know, over the course of last week. One is, what is Arrow Arrow everywhere

as a theme? You know, I think we had a joke at data council that people had to put a order in the jar, like every time they mentioned Apache Arrow. And I think, you know, it was apt because it was popping up in so many conversations so that was quite cool and you know Wes's talk that was standing room only about the composable data stack was really the product of many years of work

by him and others on the arrow format and so I'm sure that was quite rewarding for him to see that arrow is being embedded and used now in so many different places and in so many different tools so I think a lot of his hard work has paid off and the community was there to to as proof of that so that was one thing you know the other thing i noticed is that lake houses really seem to be becoming a thing obviously there's some lake house table war formats you know that rage on but i thought one of the cool projects actually that came up at the conference,

which really aggregates a lot of these formats, at least the metadata runs the formats together, is Xtable. So I would encourage folks to check that out because Xtable is quite cool. If you want to be able to interop across Hoodie and Iceberg and Delta, Xtable is a shared metadata format where you can sort of interop across. You don't actually flop out the storage formats themselves. Those stay the same, but you can interop across them all in a more efficient way. And I think the Xtable thing, which is now an Apache project, I believe could really take off. So I encourage people to check that out because that's a cool one.

You know, the other things are that people are struggling to figure out the right abstractions for AIOps and AI infrastructure. And I think we've learned now over the last couple of years that probably going to be a whole new stack, right? Like the MLOps companies don't necessarily get to be the AIOps companies because there's so many different things around deterministic models, which MLOps is used to and non-deterministic models, which AIOps is wrestling with. And so we had a lot of talks in that vein, you know, not just monitoring, but evaluation of models is a huge thing. So the eval space, there's tons and tons of companies popping up there. So that was something that I had my eye on.

And, you know, finally, I would just mention one thing that I encourage folks out there not to build. Please don't build more talk to your database applications, right? There's just a glut of these things floating around. And in my opinion, they're mostly undifferentiated. So if you're a founder out there, I'm looking for a startup to start. I'm not sure that this sort of talk to data through LLM thing is necessarily going to be a great option for you

just because the space is so crowded. There's hallucinations abound. You need a semantic layer to make it work anyway, right? There's all these kinds of things. So I think unless you really have previous experience that, you know, elevates you to the top of the crowd and you know who you are, probably when I say that, I'm just not sure it's a fertile ground for startups, even though everyone seems to think it is. So that's a one word of caution I'd throw out there at the end of a lot of optimism. I think it's also, everyone thinks,

I'm going to get the VPs to use this. And it's like, no, you're just going to have analysts interfacing with your LLM at that point. So it sounds good in theory, but I question how well it's going to get adapted. Agreed. Wise words to end on there, Pete. Again, congratulations on a decade of Data Council.

And before we kind of sign off here, folks want to learn more about Data Council, maybe access some of the content from the conference. Where do they go and how can they connect with you? Yeah, please check out datacouncil.ai. That's the conference site. All of the videos for the conference will be posted in the next couple of weeks. We open source all the content for the community on YouTube. So you can search for the Data Council channel on YouTube, subscribe there to get notifications. My venture fund, Zero Prime Ventures,

is zeroprime.bc. So for any engineer founders out there who are thinking about taking the jump to start a startup, you don't even have to have started it yet. You can just reach out. I'm p.zeroprime.bc. So reach out to me anytime.

And yeah, otherwise, I look forward to meeting as many of the community as I can in IRL every year at Data Council. So you can find me there. I'm also in San Francisco. So look me up as well, you know, if you're there. And yeah, like, I'm typically pretty active and not a hard guy to find. So I look forward to chatting with as many folks as I can. Amazing. Well, Pete, thank you so much. We're excited to head back next year and see just the progress that,

I mean, I know it's exciting for you to see the progress that all these founders make year over year. And also just the technology themselves. I mean, you called out Xtable and I spoke with the folks from OneHouse about that, you know, announcing this at the conference,

it's going to be exciting to see where things are next year. And same with the kind of composable data stack. Just so much really incredible stuff going on. Absolutely. I can't wait. Yeah. Awesome. Well, Pete, thanks so much. Thank you, guys. This was great. We hope you enjoyed this episode of the Data Stack Show. Be sure to subscribe on your favorite podcast app Thank you guys. This was great. at datastackshow.com. The show is brought to you by Rudderstack, the CDP for developers. Learn how to build a CDP on your data warehouse

at rudderstack.com.