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The Analytics Engineering Podcast

dbt Labs, Inc.

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 [email protected].

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Episodis

100 episodis

  1. dbt Charts: The Markdown of dashboards 57:15
  2. Can data agents do real analysis? 54:07
  3. Open data infrastructure and AI agents (George Fraser & Martin Casado) 36:53
  4. Roundup: Personal agents, AI policy, GPT-6.1 Astra, and Jev decision models 54:58
  5. You don't have ICs anymore, you have managers (Emilie Schario) 55:17
  6. The Roundup: The post-AI data stack, physical AI, and the fight over data centers 57:10
  7. You can't scale vibes (Guy Podjarny) 55:26
  8. Roundup: Why your sales team shouldn't query Gong directly 55:09
  9. Don't hand a bazooka to an agent making a sandwich (Jeremiah Lowin) 58:42
  10. Roundup: a rogue agent, Kimi K3, and data teams in the AI era 1:03:31
  11. Data lessons from inside Meta (Shridhar Iyer) 59:20
  12. The scarce resource is consensus (Ian Macomber) 50:51
  13. The context engineering playbook (Claire Gouze) 52:42
  14. DuckDB's agent moment (Jordan Tigani) 55:52
  15. The Iceberg ecosystem today (w/ Anders Swanson) 54:51
  16. Apache Iceberg and the catalog layer (w/ Russell Spitzer) 53:29
  17. AI and the data lake (w/ Lauren Anderson) 53:44
  18. Inside Snowflake's AI roadmap (w/ Chris Child) 57:27
  19. Building a multimodal lakehouse for AI (w/ Chang She) 56:58
  20. Agentic coding in analytics engineering (w/ Mikkel Dengsøe) 44:20
  21. Under the hood of Apache Iceberg (w/ Christian Thiel) 55:59
  22. The pragmatic guide to AI agents in the enterprise (w/ Sean Falconer) 49:59
  23. How Amazon S3 works (w/ Andy Warfield) 50:05
  24. From Docker to Dagger (w/ Solomon Hykes) 48:50
  25. The history and future of the data ecosystem (w/ Lonne Jaffe) 53:53
  26. Everything terminals (w/ Zach Lloyd) 47:21
  27. Why compilers matter (w/ Lukas Schulte) 41:59
  28. The evolution of databases (w/ Wolfram Schulte) 54:17
  29. Building a data team from the beginning (w/ Daniel Avancini) 50:12
  30. Data engineering at Snowflake (w/ Rahul Jain) 44:04
  31. The intersection of UI, exploratory data analysis, and SQL (w/ Hamilton Ulmer) 50:37
  32. Making data movement as reliable as electricity (w/ Taylor Brown) 46:40
  33. Data as an assembly line (w/ Cedric Chin) 51:11
  34. The data jobs to be done (w/ Erik Bernhardsson) 42:55
  35. Coalesce 2024 edition: What's next for data teams? (w/ Scott Breitenother) 44:23
  36. The current state of the AI ecosystem (w/ Julia Schottenstein) 45:44
  37. Creating value from GenAI in the enterprise (w/ Nisha Paliwal) 45:20
  38. Developer productivity on GitHub Copilot (w/ Eirini Kalliamvakou) 53:59
  39. The rapid experimentation of AI agents (w/ Yohei Nakajima) 45:55
  40. Funnel analytics and AI models for event sequences (w/ Misha Panko) 44:09
  41. From Moneyball to Gen AI 37:37
  42. Being Pro-Human in the AI Era 50:09
  43. The 2024 Machine Learning, AI & Data Landscape (w/ Matt Turck) 36:22
  44. How the Media Covers Gen AI (w/ Matthew Lynley, Supervised) 48:15
  45. AI's Impact in the World of Structured Data Analytics (w/ Juan Sequeda, data.world) 48:18
  46. The End of the Modern Data Stack (w/ Benn Stancil, Mode) 45:46
  47. Data Mesh Architecture at Large Enterprises (w/ Moritz Heimpel and Ben Flusberg) 46:07
  48. Let's Talk About Data Vault (w/ Brandon Taylor and Michael Olschimke) 44:04
  49. Navigating AI Complexity (w/ Jonathan Frankle) 46:20
  50. Career Growth in Data Roles (w/ Hubspot's Kasey Mazza at Coalesce 2023) 29:17