Stay ConnectedI’m Joe Reis, co-author of Fundamentals of Data Engineering, creator of Mixed Model Arts, international speaker, and long-time observer of the tech industry’s favorite recurring mistakes.
Weekly broadcasts from somewhere on the road. Expect raw solo rants and long-form conversations with the engineers and leaders actually building things. I dive into data, AI, architecture, and career survival.
This podcast is invitation-only. Unsolicited guest pitches and PR outreach are not considered.
Copyright: © Joe Reis
Wendy Turner-Williams joins me to chat about her new project and communty, The Association.ai, unleashing generative AI in organizations, starting and building a community, and much more.
LinkedIn: https://www.linkedin.com/in/wendy-turner-williams-8b66039/
The Association: https://theassociation.ai/
My voice is sort of working, and I chat about Tristan Handy's article that raised quite a ruckus this week, "Is the "Modern Data Stack" Still a Useful Idea?"
In the end, the Modern Data Stack won - people use the cloud for analytics. And everything ends, so I'm excited for what's next.
Article: https://roundup.getdbt.com/p/is-the-modern-data-stack-still-a?r=oc02
Randy Bean and I discuss why generative AI is making companies more data-oriented, the latest Wave Stone Data and AI Leadership Executive Survey, his career and writing process and much more.
I consider Steve Hoberman to be one of the original data modelers, having practiced and taught data modeling since the 1990s. He also runs the venerable Technics Publications, which I consider the foremost publishers of data-oriented books.
Steve and I discuss data modeling's past, present, and future. If you're into data modeling, this is a must-listen. Enjoy!
Technics Publications: https://technicspub.com/
Steve Hoberman LinkedIn - https://www.linkedin.com/in/stevehoberman/
Andrew Meister and I chat about removing wasted notions and bad workflows, aka "clunk."
Today's rant is a random grab bag of stuff - my thoughts on Data Day Texas, updates to Practical Data Modeling, and more.
Roy Hasson and I chat about career progressions in data and technology, open table formats (Iceberg), and more.
Are your outputs generating the right outcomes? I'm in Austin for Data Day Texas, and I reflect on this topic via a conversation I had last night with Juan Sequeda, Tim Gasper, and Santona Tuli.
In 2024, outcomes will matter more than ever. What are you doing to drive the right outcomes for your organization?
Ari Kaplan (Head of Evangelism at Databricks) joins me to chat about all things data intelligence, data lakehouses, the role of evangelism in tech companies, automation, and much more.
I chat about my working (and evolving) definition of data modeling. In short, we need to move beyond a human-centric view of data modeling, as most data is consumed by machines.
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