The Analytics Engineering Podcast

Apr 21 2024 215
The Analytics Engineering Podcast artwork

Tristan Handy has been curating the Analytics Engineering Roundup newsletter since 2015, pulling together the internet’s best data science & analytics articles. Tristan and co-host Julia Schottenstein now bring the Roundup to real life, hosting biweekly conversations with data practitioners inventing the future of analytics engineering. You can view full episode summaries and read back issues of the Roundup newsletter at https://roundup.getdbt.com. The podcast is sponsored by dbt labs, makers of the data transformation framework dbt. To reach our team, drop a note to [email protected].

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Being Pro-Human in the AI Era

Apr 21 2024 50 mins  
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 discu

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

Apr 07 2024 36 mins  
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 Landscap

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

Mar 24 2024 48 mins  
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'

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

Mar 10 2024 48 mins  
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 fu

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

Feb 25 2024 45 mins  
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 htt

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

Dec 08 2023 46 mins  
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

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

Nov 17 2023 44 mins  
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 th

Navigating AI Complexity (w/ Jonathan Frankle)

Nov 03 2023 46 mins  
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

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

Oct 20 2023 29 mins  
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 life

Operationalizing Your Warehouse, Streaming Analytics, and Cereal (W/ Arjun Narayan of Materialize and Nathan Bean of General Mills)

Oct 06 2023 42 mins  
It turns out data plays a big role in getting cereal manufactured and delivered so you can enjoy your Cheerios reliably for breakfast. We talk with Arjun Narayan, CEO of Materialize, a company building an operational warehouse, and Nathan Bean, a data leader at General Mills responsible for all of the company's manufacturing analytics and insights. We discuss Materialize’s found