dbt Labs, Inc.

The Analytics Engineering Podcast

News EN ↓ 101 episodes

The Analytics Engineering Podcast goes deep with the practitioners and builders leading the shift in how data work gets done. Hosted by Tristan Handy, founder and CEO of dbt Labs, each episode is a conversation with the data engineers, analytics engineers, and technical leaders building in the agentic era. Topics include data transformation, AI in analytics, data architecture, and what it means to work with data at scale. For full show notes and transcript, head to roundup.getdbt.com. To reach our team, drop a note to podcast@dbtlabs.com.

Be sure to visit the podcast's website and support the creator: roundup.getdbt.com

Author

dbt Labs, Inc.

Category

News

Podcast website

roundup.getdbt.com

Latest episode

Oct 30, 2026

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Episodes

Everything terminals (w/ Zach Lloyd) 25.05.2025

In this episode, Tristan talks to Zach Lloyd, founder of Warp—a terminal built for the modern era, including for AI agents. They explore the history of terminals, differences between terminals and shells, and what the future might look like. In a world driven by generative AI, the terminal could once again be the control center of computer usage. For full show notes and to read 6+ years of back is...

Why compilers matter (w/ Lukas Schulte) 11.05.2025

In this episode, Tristan Handy and Lukas Schulte, co-founder of SDF Labs and now part of dbt Labs, dive deep into the world of compilers—what they are, how they work, and what they mean for the data ecosystem. SDF, recently acquired by dbt Labs, builds a world-class SQL compiler aimed at abstracting away the complexity of warehouse-specific SQL. Join Tristan and members of the SDF team at the dbt...

The evolution of databases (w/ Wolfram Schulte) 27.04.2025

In the first episode of our new season on developer experience, the cofounder and CTO of SDF Labs, now a part of dbt Labs, discusses databases, compilers, and dev tools. Wolfram spent close to two decades in Microsoft Research and several years at Meta building their data platform. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundu...

Building a data team from the beginning (w/ Daniel Avancini) 26.01.2025

Daniel Avancini is the chief data officer and co-founder of Indicium —a fast-growing data consultancy started in Brazil.  There are a lot of data consultancies around the world, and a lot of them do great work. What has been so fascinating about Indicium's journey is their HR model. Rather than primarily hiring experienced professionals, they decided to go hard on training. They built a talent pip...

Data engineering at Snowflake (w/ Rahul Jain) 12.01.2025

A look inside at the data work happening at a company making some of the most advanced technologies in the industry. Rahul Jain, data engineering manager at Snowflake, joins Tristan to discuss Iceberg, streaming, and all things Snowflake.  For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com . The Analytics Engineering Po...

The intersection of UI, exploratory data analysis, and SQL (w/ Hamilton Ulmer) 22.12.2024

Hamilton Ulmer is working at the intersection of UI, Exploratory Data Analysis, and SQL at MotherDuck, and he's built a long career in EDA. Hamilton and Tristan dive deep into the history of exploratory data analysis. Even if you spend most of your time below the frontend layer of the stack, it is important to understand the trends in both the practice of data visualization  and the technologies t...

Making data movement as reliable as electricity (w/ Taylor Brown) 08.12.2024

Fivetran recently passed $300 million ARR and has over 7,000 customers globally. Taylor Brown, the cofounder and COO of Fivetran, joins the show to talk about Fivetran's moat, the impact of AI on the data ingestion space, and open table formats and catalogs.  For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com . The Anal...

Data as an assembly line (w/ Cedric Chin) 17.11.2024

Cedric Chin runs Commoncog—a publication about accelerating business expertise. He joins Tristan to talk about the analytics development lifecycle, how organizations value (or misvalue) data, and why "data teams are not some IT helpdesk to be ignored."   For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com . The Analytics...

The data jobs to be done (w/ Erik Bernhardsson) 03.11.2024

Erik Bernhardsson, the CEO and co-founder of Modal Labs, joins Tristan to talk about Gen AI, the lack of GPUs, the future of cloud computing, and egress fees. They also discuss whether the job title of data engineer is something we should want more or less of in the future. Erik's not afraid of a spicy take, so this is a fun one.  For full show notes and to read 6+ years of back issues of the podc...

Coalesce 2024 edition: What's next for data teams? (w/ Scott Breitenother) 20.10.2024

Show description: Scott Breitenother, founder of data consultancy Brooklyn Data Co., joins Tristan at Coalesce 2024 in Las Vegas to discuss the early days of dbt, the evolution of data teams, and what's next for the dbt community. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com . The Analytics Engineering Podcast is...

The current state of the AI ecosystem (w/ Julia Schottenstein) 06.10.2024

Former co-host Julia Schottenstein returns to the show to go deep into the world of LLMs. Julia joined LangChain as an early employee, in Tristan's words, to "Basically solve all of the problems that aren't specifically in product and engineering." LangChain has become one of, if not the primary frameworks for developing applications using large language models. There are over a million developers...

Creating value from GenAI in the enterprise (w/ Nisha Paliwal) 22.09.2024

Nisha Paliwal, who leads enterprise data tech at Capital One, joins Tristan to discuss building a strong data culture for in the world of AI. She is the co-author of the book Secrets of AI Value Creation.  For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com . The Analytics Engineering Podcast is sponsored by dbt Labs.

Developer productivity on GitHub Copilot (w/ Eirini Kalliamvakou) 08.09.2024

Dr. Eirini Kalliamvakou is a senior researcher at GitHub Next. Eirini has built a career on studying software engineers, how to measure their productivity, how developer experience impacts productivity, and more. Recently, Eirini has been working on quantifying the impacts of GitHub Copilot. Does it actually help software engineers be more productive? Tristan and Eirini explore how to quantify dev...

The rapid experimentation of AI agents (w/ Yohei Nakajima) 09.06.2024

Yohei Nakajima is an investor by day and coder by night. In particular, one of his projects, an AI agent framework called BabyAGI that creates a plan-execute loop, got a ton of attention in the past year. The truth is that AI agents are an extremely experimental space, and depending on how strict you want to be with your definition, there aren't a lot of production use cases today.  Yohei discusse...

Funnel analytics and AI models for event sequences (w/ Misha Panko) 26.05.2024

Misha Panko has worked in data for a long time, including on high performance data teams at Uber and Google. Today, Misha is the co-founder and CEO of Motif Analytics , a product focused on helping growth and ops teams understand their event data. In this episode, Tristan and Misha nerd out about the state of the art in computational neuroscience, where Misha got his PhD. They then go deep into ev...

From Moneyball to Gen AI 12.05.2024

Eric Avidon is a journalist at TechTarget who's interviewed Tristan a few times, and now Tristan gets to flip the script and interview Eric. Eric is a journalist veteran, covering everything from finance to the Boston Red Sox, but now he spends a lot of time with vendors in the data space and has a broad view of what's going on. Eric and Tristan discuss AI and analytics and how mature these featur...

Being Pro-Human in the AI Era 21.04.2024

Barry McCardel is the co-founder and CEO of Hex . Hex is an analytics tool that's structured around a notebook experience, but as you'll hear in the episode, goes well beyond the traditional notebook. We're big fans of Hex at dbt Labs, and use it for a bunch of our internal data work. In this episode, Barry and Tristan discuss notebooks and data analysis, before zooming out to discuss the hype cyc...

The 2024 Machine Learning, AI & Data Landscape (w/ Matt Turck) 07.04.2024

Matt Turck has been publishing his ecosystem map since 2012. It was first called the Big Data Landscape. Now it's the Machine Learning, AI & Data (MAD) Landscape .  The 2024 MAD Landscape includes 2,011(!) logos, which Matt attributes first a data infrastructure cycle and now an ML/AI cycle. As Matt writes, "Those two waves are intimately related. A core idea of the MAD Landscape every year has be...

How the Media Covers Gen AI (w/ Matthew Lynley, Supervised) 24.03.2024

Matthew Lynley is a bit of a hybrid. He's been a long-time journalist covering enterprise tech, currently in his fantastic AI and data newsletter Supervised , and he's also been a hands-on data practitioner.  Matthew has covered the analytics tech stack, but this time Tristan turns the tables to get Matthew's perspective on the rise of Gen AI as a topic in the popular press, what's going on in the...

AI's Impact in the World of Structured Data Analytics (w/ Juan Sequeda, data.world) 10.03.2024

Juan Sequeda is a principal data scientist and head of the AI Lab at data.world, and is also the co-host of the fantastic data podcast Catalog and Cocktails.  This episode tackles semantics, semantic web, Juan's research in how raw text-to-SQL performs versus text-to-semantic layer ,  and where we both believe AI will make an impact in the world of structured data analytics. For full show notes an...

The End of the Modern Data Stack (w/ Benn Stancil, Mode) 25.02.2024

Benn Stancil, cofounder and CTO at Mode, returns to The Analytics Engineering Podcast to discuss the evolution of the term "modern data stack" and its value today. Tristan wrote on this idea for The Analytics Engineering Roundup in Is the Modern Data Stack Still a Useful Idea ? For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.ge...

Data Mesh Architecture at Large Enterprises (w/ Moritz Heimpel and Ben Flusberg) 08.12.2023

Moritz Heimpel from Siemens and Ben Flusberg from Cox Automotive have very similar jobs. They both act as stewards of the data strategies at large, complex companies. In this episode, we get into what it's like to collaborate with data at scale. Ben and Mortitz share their experiences adopting a data mesh architecture and what that looks like at their organizations. For full show notes and to read...

Let's Talk About Data Vault (w/ Brandon Taylor and Michael Olschimke) 17.11.2023

If Data Vault is a new term for you, it's a data modeling design pattern. We're joined by Brandon Taylor, a senior data architect at Guild, and Michael Olschimke, who is the CEO of Scalefree—the consulting firm whose co-founder Dan Lindstedt is credited as the designer of the data vault architecture.  In this conversation with Tristan and Julia, Michael and Brandon explore the Data Vault approach...

Navigating AI Complexity (w/ Jonathan Frankle) 03.11.2023

Jonathan Frankle is the Chief Scientist at MosaicML, which was recently bought by Databricks for $1.3 billion.  MosaicML helps customers train generative AI models on their data. Lots of companies are excited about gen AI, and the hope is that their company data and information will be what sets them apart from the competition.  In this conversation with Tristan and Julia, Jonathan discusses a pot...

Career Growth in Data Roles (w/ Hubspot's Kasey Mazza at Coalesce 2023) 20.10.2023

In this conversation with Tristan recorded at Coalesce 2023, Kasey Mazza, an analytics engineering manager on the RevOps team at HubSpot, discusses the roles of data analysts and analytics engineers, the importance of building internal data communities, and the evolving landscape of data teams.  Watch Kasey's Coalescse 2023 presentation The career growth software development lifecycle . For full s...

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