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Contenido proporcionado por Joe Reis. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Joe Reis o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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Jamie Davidson - Modern Data Modeling
Manage episode 462289450 series 3521957
Contenido proporcionado por Joe Reis. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Joe Reis o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Jamie Davidson (Chief Product Officer at Omni, Former VP of Product at Looker) joins me to chat about "modern" data modeling, going from a startup to Google and back to a startup, and much more.
Omni: https://omni.co/
247 episodios
Manage episode 462289450 series 3521957
Contenido proporcionado por Joe Reis. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Joe Reis o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Jamie Davidson (Chief Product Officer at Omni, Former VP of Product at Looker) joins me to chat about "modern" data modeling, going from a startup to Google and back to a startup, and much more.
Omni: https://omni.co/
247 episodios
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1 Freestyle Fridays - Shifting Left AND Right. The Data Engineering Lifecycle in 2025. What's Changed? 9:52
People often ask me what I'd change in Fundamentals of Data Engineering. Usually, I reply "not much", as the the Data Engineering Lifecycle still remains intact. However, I see the role of data engineers shifting both left and right. What does this mean? Have a listen.
Vaibhav Gupta and I chat about our shared love for tacos in Austin, the evolution of AI tools, and why new thinking and approaches are required for AI-first tools. BAML: https://github.com/BoundaryML/baml
Mark Freeman joins me to chat about data contracts, the crazy life of being the first employee at a hot startup, writing books and creating content, and much more. #DataEngineering #Startups #AI #DataQuality #DataContracts
I get a ton of questions from people about what their next career move should be. Given the increased turbulence in the job market and how companies are giving the middle finger to their employees, I think people are going to need to question the traditional advice (college, job, "stick it out"). This advice is outdated. Instead, you're going to have to dig deep, embrace discomfort, and figure out your next move. Nick Freund - Closing a Startup https://open.spotify.com/episode/2Iu1qbVklm7hVFniVkdCFQ?si=bcc24223758b48d3…
Willis Nana and I chat about the challenges of data engineering leadership, foundational skills, and his journey to a content creator on YouTube.#dataengineering #data #ai #datateam #leadership
Salma Bakouk (CEO of Sifflet) and I discuss the evolving data and AI landscape, the rise of data observability in the age of AI, balancing personal and professional life as a founder, and much more.
Jordan Morrow and I have a lot of experience with public speaking. We get a lot of questions about tips for public speaking. In this episode, we chat about how to get started with public speaking, tips for awesome presentations and talks, and much more.
Simon Späti and I discuss various aspects of writing, data engineering, and the impact of AI on the writing process. Simon shares his journey from business intelligence to data engineering and his current focus on writing. We also discuss the future of writing in the age of AI. Enjoy!
Todd Beauchene joins me to chat about being an early employee at a tiny startup called Snowflake, modern data platforms, and much more.
In this episode, I explain how I use (and don't use) AI for writing.
The Data Cynic, aka, Matthew Kelliher-Gibson, and I chat about all things cynical about the data field, working in Dilbert-land, negotiation for data professionals, and much more.
My semi-regular co-host and bestie Carly Taylor joins me once again. This time we chat about the true cost of replacing engineers with AI. We explore the implications of mass layoffs, the importance of company culture, and the potential for burnout among tech workers.
It seems like quite a few data practitioners I talk with are miserable. Forced to deliver things ever faster, there's not enough time to THINK. Instead, the pressure is to deliver "stuff" in two-week sprints. In this episode, I rant about why not everything needs to be a sprint, and why we need to treat Deep Work versus Delivery Work differently.…
John Thompson joins me to chat about his upcoming book, The Path to AGI, his book writing process, and much more. John Thompson LinkedIn: https://www.linkedin.com/in/johnkthompson/
Things aren't great in the world of data practitioners. Lots of technical debt and lack of pride in one's craft. The pressure to do more with less only compounds this problem. And AI will make it far worse. If you think the amount of poorly made data architecture and models is bad now, I think we're in for another level very soon. With AI CoPilot on the rise, right as data skills and knowledge decline, I'm increasingly worried we'll offload our critical thinking and skills to AI. The outcome will be an ever expanding Great Pacific Garbage Patch of AI Data Slop.…
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