Tristan Handy

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378 appearances 1 recordings 1 series first heard Aug 2026 last heard 25 Aug

Tristan Handy’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Aug 2026 with 1.

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Super Data Science: ML & AI Podcast with Jon Krohn · 1021: How dbt Won Analytics Engineering, with dbt Lab’s CEO Tristan Handy · 25 Aug 2026 podcast

uh companies.

And we found out that they were moving to what eventually became known as the modern data stack.

Uh back then it was

People were storing their data in Amazon Redshift, and they were using BI tools that were purpose built to be uh to run on top of Amazon Redshift.

And but the funny thing is they were using all this new technology, but they didn't like a lot of the problems that they were experiencing were the same problems that they had experienced before.

So they like new technology, same problems.

And you're like, well, what's going on here?

Like what uh have we failed to

Learn something important.

And I could talk about this for about forever, but the conclusion that I came to along with some of the other folks on this team was that we were asking data people to build production systems.

The cloud meant that everything was always on, and there was an expectation that you could hit the button run in the top right of every uh dashboard and that it would like produce new data and that data was always correct.

And so this is really a

Production software system.

But we were not equipping them with the tools to do that.

And uh so that that is kind of where everything flowed from that has happened in my little neck of the woods over the past ten years.

The thing that I think is the most magical about people who call themselves data analysts.

Is that they're not afraid of complexity and they tend to dive into kind of multifaceted problems.

Now that that sounds uh kind of like high-level and vague, but the thing is that data analysts are a role that spans two big disciplines.

One is the actual quantitative discipline.

You know, you have to actually

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