dbt, every mention
53 scenes, the whole family · ← back to dbt
tap a year for its mentions
every year anyone Matt Turck 37Tristan Handy 27George Fraser 5Nick Schrock 4DeVaris Brown 4Julien Le Dem 3Jordan Tigani 3Jeremiah Lowin 3Tomasz Tunguz 2Gleb Mezhanskiy 2
Verbatim, from the transcripts: the passages where dbt comes up
Understanding Data Engineering in 2025 | Ben Rogojan, Seattle Data Guy
- ▶ 21:57 Ben Rogojan (Seattle Data Guy) You're gonna be like, oh, I want to maybe test out dbt or, um, SQL mesh or something like that for transforms.
- ▶ 37:56 Ben Rogojan (Seattle Data Guy) So they're kind of getting to the point where it's like, okay, now you're getting into this like dbt Airflow-esque space where maybe, yeah, you could be everything.
The Death of Big Data and Why It’s Time To Think Small | Jordan Tigani, CEO, MotherDuck
- ▶ 44:03 Jordan Tigani Uh, and then maybe the fourth would be kind of the orchestrator, um, and that would be sort of dbt. 3 times in the scene
AI at Ramp: Making Every Team Radically More Productive | Eric Glyman, CEO, Ramp
- ▶ 16:21 Matt Turck Are you a DPD shop?
AI, Data and Blockchain: a VC perspective | Tomasz Tunguz, Founder of Theory Ventures
- ▶ 35:01 Tomasz Tunguz Within the database, let's call it like dbt, or you move into the ingestion layer, what happens there?
- ▶ 49:26 Tomasz Tunguz DBTs, uh, and the Zbicos in, in, in the center of the, and then you need the BI vendors.
Future of The Modern Analytics Stack | Tristan Handy, CEO of dbt
- ▶ 5:49 Tristan Handy When people started using the term modern data stack, there was a there there, like fivetran, dbt, mode, looker, et cetera.
- ▶ 22:05 Tristan Handy Their, their technology now powers the dbt semantic layer, which we launched in October.
- ▶ 25:58 Tristan Handy There are just some pretty straightforward unlocks on how to make authoring dbt code way more efficient. 2 times in the scene
- ▶ 34:18 Tristan Handy We were starting to see companies deploying dbt at a scale and complexity that previously had not happened. 4 times in the scene
- ▶ 34:53 Tristan Handy Um, and it didn't allow you to view that large complex project in our kind of native visualization tool, which was called dbt docs, because that was a single page web app and it
- ▶ 39:04 Tristan Handy Um, it, it historically has been almost a religious topic in the dbt community, but I think the thing is like,
- ▶ 44:29 Matt Turck One really interesting thing that, um, DBD has done very successfully is this transition from, um, an open source community driven kind of project to, um,
Startup to Industry Standard: Lukas Biewald Explains How W&B Scaled MLOps for OpenAI, NVIDIA & More
- ▶ 46:51 Lukas Biewald Um, I think, uh, dbt boy, I wish I made that, you know, that was a good idea.
Fundamentals of Data Engineering | Joe Reis and Matt Housley
- ▶ 31:17 Matt Housley They would define data engineering to be a very specific technology stack, and so in 2022, you could do this by saying, well, data engineering is really about ingesting data with, I don't know, five-trainer or stitch, and then it's about…
Behavioral Data Creation for AI | Snowplow Co-Founder & CEO Alex Dean
Separating Data Hype From Substance | Fireside Chat with Mode Co-Founder Benn Stancil
- ▶ 22:22 Matt Turck Uh, but can you, the post on dbt has not come out. 10 times in the scene
- ▶ 38:24 Benn Stancil the data modeling layers people want to use, like, dbt, uh, if they're wanting to use some of the newer stuff, like, transform, for instance, that they've
- ▶ 39:08 unnamed speaker So you were giving like DBT and five trans examples. 4 times in the scene
Modern Data Orchestration | Astronomer Co-Founders Pete DeJoy & Viraj Parekh
- ▶ 2:10 Viraj Parekh Uh, DBT will usually be some data modeling layer.
A Novel Approach to Data Quality for the Modern Data Stack | Datafold’s Gleb Mezhanskiy
- ▶ 3:55 Gleb Mezhanskiy If you're familiar with modern data stack, DBT Airflow, the general ecosystem, 2 times in the scene
The Next Layer of the Modern Data Stack | dbt's Tristan Handy
- ▶ 2:08 Tristan Handy I think that there, there are, for anybody in the audience who's used dbt, you've probably gotten the sense that, ah, it's a, it's a little bit of a different product experience than most data products you've, you've used before.
- ▶ 10:26 Matt Turck And obviously a lot of the excitement around dbt from, you know, market and investment respective has been that dbt labs, the company and dbt core, I guess the project has, has, has owned this transformation layer. 2 times in the scene
- ▶ 10:26 Matt Turck And obviously a lot of the excitement around dbt from, you know, market and investment respective has been that dbt labs, the company and dbt core, I guess the project has, has, has owned this transformation layer.
- ▶ 10:40 Matt Turck Do you want to explain what dbt actually is and what it does? 6 times in the scene
- ▶ 13:40 Tristan Handy And so dbt is an attempt to start like moving us like up this abstraction level. 2 times in the scene
- ▶ 15:55 Matt Turck And, um, so dbt for a long time was, still is, but was originally a, a very popular open source project that you built. 2 times in the scene
- ▶ 16:22 Matt Turck Uh, and there is now a product called dbt cloud, which is the, I guess, commercialization effort around dbt. 4 times in the scene
- ▶ 16:34 Tristan Handy The original thing that dbt core did was it provided a language to express data transformations, and it provided a, a command line interface to actually execute them. 4 times in the scene
- ▶ 19:39 Tristan Handy And so, there's this desire to push that upstream to dbt. 6 times in the scene
- ▶ 22:21 Tristan Handy So the, one of the things that most of the practitioner space in, in the dbt community doesn't actually understand is that the dbt cloud API is now powering like dozens and dozens of partner applications, because it turns out this…
- ▶ 23:58 Tristan Handy I get the impression that, that dbt is pushing the idea of, of SQL first when you think about how you write your data transformations, which, which feels at odds with trying to build abstraction layers on top of SQL, because with dbt,… 2 times in the scene
Fireside Chat: Aaron Katz (Co-Founder & CEO, ClickHouse) with Matt Turck (Partner, FirstMark)
- ▶ 3:15 Aaron Katz So obviously things like Kafka and DBT and Kinesis,
- ▶ 21:00 Aaron Katz Data transformation with dbt, you know, a much more seamless experience than it is today.
Fireside Chat: DeVaris Brown (Founder & CEO, Meroxa) with Matt Turck (Partner, FirstMark)
- ▶ 6:27 DeVaris Brown We can then transform that data in real time, so you don't necessarily have to worry about, you know, getting it to a data warehouse, um, and doing your transformations there with, like, DBT or something.
- ▶ 12:44 DeVaris Brown Just imagine, like, the workflow now, right, which is before I would, you know, point things either to a data lake or to a data warehouse, I would run some aggregations with dbt, put that into a, to a format where now a platform engineer…
- ▶ 23:25 DeVaris Brown I, uh, I would say, I mean, obviously everybody loves dbt. 2 times in the scene
Fireside Chat: Nick Schrock (Founder & CEO, Elementl) with Matt Turck (Partner, FirstMark)
- ▶ 16:03 Nick Schrock We need something like dbt over the, over the warehouse and maybe a so-called reverse ETL or operational analytics tool to jam that back. 2 times in the scene
- ▶ 21:38 Matt Turck Integrations with dbt with, uh, great expectations, uh, that we're going to be going to speak with, you know, in a few minutes, uh, what, what's next on the roadmap for the next, uh, you know, year or so?
- ▶ 25:05 Nick Schrock Um, present company excluded, um, I think I'll give a, uh, uh, probably a common answer, which is, you know, dbt is really taking over, um, a big part of the stack, and I've known that team since 2018, when I, they gave a conference talk,… 2 times in the scene
Fireside Chat: Arjun Narayan (Founder & CEO, Materialize) with Matt Turck (Partner, FirstMark)
- ▶ 19:34 Matt Turck You, uh, just announced a partnership with, um, DBT and we had, uh, uh, Tristan, the CEO of Fishtown Analytics, the company behind, uh, DBT, speak at this event, um, uh, what, two, three months ago, uh, now. 2 times in the scene
Data Observability and Pipelines: OpenLineage and Marquez
- ▶ 7:35 Julien Le Dem You know, so I talked to Wes, uh, obviously, uh, we like spark contributors, um, GBT and all the, the air flow and all the very, um, popular frameworks to schedule and process data.
- ▶ 24:53 Julien Le Dem Like, so the people and the project that have been involved in this data world, so we, like, there's lots of interest from dbt, for example. 2 times in the scene
Fireside Chat: Jeremiah Lowin (Prefect), Tristan Handy (dbt) with Matt Turck (Partner, FirstMark)
- ▶ 8:12 Tristan Handy Um, so that that's kind of how we slice, you know, today the dbt focused stack, uh, can do that former thing and it can do it extremely well.
- ▶ 14:21 Matt Turck So maybe Tristan, starting with you, um, maybe talk about, um, you know, DBT and I guess the evolution of ETL to ELT and where, where that fits in, in a, in a data warehouse centric world.
- ▶ 19:58 Matt Turck And maybe a word on dbt 2 times in the scene
- ▶ 21:32 Matt Turck And, uh, just yeah, word on, on DBT. 4 times in the scene
- ▶ 23:33 Jeremiah Lowin And so I think that one of the things, certainly that we feel at Prefect and interesting sounds very much like you did with dbt, um, at Fishtown is we were solving a problem that you had that, that I had my background, uh, is as a data…
- ▶ 27:54 Jeremiah Lowin I could do something like, like dbt to make sure that I'm doing something with best practice or getting out there.
- ▶ 40:31 Jeremiah Lowin One of the things that we have tried to do at Prefect and we, uh, at Buyer extraordinarily what's, what's happening in the DBT world here is we've tried to use the fact that we seem to have built something people truly enjoy.
- ▶ 43:55 unnamed speaker Um, do you have advice about using dbt with tools like look ml and cube JS that also do in warehouse transformations, but are geared towards the last mile of modeling for analytics consumers? 4 times in the scene
Fireside Chat: George Fraser (Founder & CEO, Fivetran) with Matt Turck (Partner, FirstMark)
- ▶ 23:28 George Fraser DBT, which is an open source community. 5 times in the scene
How to Answer Data Questions Without Being Miserable // Ahmed Elsamadisi, Narrator (Data Driven NYC)
- ▶ 2:52 Ahmed Elsamadisi We use Luigi, switch dbt, then Airflow, and then ended up building our own solution to handle our dependencies.