Tristan Handy

speaker
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.

Appearances

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Know something about uh math and statistics.
And and I would even put the software engineering part in here, like the kind of more technical, uh, mathy brain stuff.
And then on the other side, you have to know about the actual business domains that you're working in, because a data analyst that doesn't actually know anything about the domain that they're working in.
Is really just an order taker.
They're not adding any value beyond their technical capabilities.
And especially today, when any anyone can have uh technical capabilities with uh your agent, those those kind of can't stand on their own as a source of value.
You know, almost everybody finds their way to uh the data analyst role in some kind of weird idiosyncratic pathway because you you generally become an expert in the one side.
or the other, and then you learn the the other side on the job.
The way that I've always thought about building DBT and is this like idea that uh we should empower these magical unicorn humans to be able to
uh live up to their potential, but not overwhelm them with you know technical details at the at the outset.
Now, th that's not to say that data analysts are not capable technically, but that's not the
first order concern.
That that's not like why somebody becomes a data analyst.
Back in 2016, the kind of
you know, cool kid way to do uh data transformations was Spark.
And Spark is exactly the wrong tool if you want data analysts to be able to do any of this work.
Because right at the outset, it is just incredibly challenging to get it set up.
The syntax is very complicated.
Nobody, you know, with a data analyst background kind of knows how to write uh Spark code at, you know.
at the outset.
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