Tim Harrison
speaker
197 appearances
2 recordings
1 series
first heard Jun 2022
last heard May 2023
Tim Harrison’s voice in public audio — every appearance, attributed to the second.
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Appearances
Welcome to Orbit, the H G podcast series where we speak to leaders and innovators from across software and tech ecosystem to discuss the key trends that change how we all do business.
My name is Tim Harrison.
I'm part of the data and analytics team at HG, working with our portfolio companies on their end-to-end data journey across commercial and operational optimization and data products.
We're delighted to be joined today by Tristan, CEO and founder of DBT Labs, a leading B2B SaaS company in the data transformation space, used by over 11,000 companies, including many HG portfolio companies as well.
Tristan recently spoke at HG's twenty twenty three Digital Forum in London, and it's great to be catching up again a couple of weeks later.
Thanks for joining us, Tristan.
Welcome.
Um well to start, Tristan, I think it would be great uh to if you could tell us a little bit about yourself and DBT Labs and and the journey, um, starting with fish analytics there as well.
No, I think that's really interesting.
And I think it it it ties so nicely into one of the first topics I really want to discuss, which is, you know, what is that modern data stack that we we all talk about now?
And I often got often get asked that question by our portfolio company, CEOs, CTOs, what what is that modern data stack?
And even though I've been working in in data quite a while now, it's it's actually quite a hard question to answer because it's so entangled with the history.
It's got that word modern.
Um
But one thing that always is uh discussed when you talk about that modern data stack is D B T.
You know, it's a core component there that that fits into um what people see as the modern data stack.
So so where better to us than hear your perspective on what really is that modern data stack and how did we
get here.
Um what have you seen of that journey?
And that's really interesting, that piece there around seeing those large enterprise data architectures, but then also the the Hadoop movement.
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