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
You may have heard of Live Action Role Playing (LARP), where people dress up like fantasy characters and sword fight in a park or a Wal Mart parking lot. Some data teams LARP too...
Data LARPs are a real thing, often identified by pretending to do "data stuff", while never actually pushing anything into production. Are you Data LARPing? If so, what can you do? Listen and find out.
Matt Harrison is the author of many of the most successful Python books, including Effective Pandas, Effective XGBoost, The Machine Learning Pocket Reference, and many more. I consider him the top author of Python books and content on the planet.
He stopped by my house to chat about self-publishing technical books, the pros and cons of using a publisher, book piracy, and much more. We both talk about our experiences as best-selling technical authors, and don't hold back in this wide ranging and very candid conversation. Enjoy!
Note - my audio got a bit clippy in spots. Sorry if I blew up your speaker.
Karin Wolok and I chat about all things devrel - what it is, why it matters, the good the bad, and everything in between. We also talk about her time in the music industry, which is a fascinating side thread. Karin is amazingly smart, energetic, and fun to talk with. Enjoy!
Note - this was recorded right after the awesome DEWCon, the premier data engineering conference in Bangalore, India. Shoutout to everyone there!
Like most of you, I spent last weekend and the earlier part of this week following the OpenAI drama. Plot-twists galore! Every minute seemed like a new adventure. In the midst of the plot twists and turns, I noticed quite a few people saying, "This was all predictable", and then offering prognostications, most of which turned out to be very wrong. If even the OpenAI insiders couldn't figure out what was going on, how would the person on the street?
It's a good reminder that you need to approach the world with a sense of humility and try not to be a know-it-all. Don't be afraid to say "I don't know."
I recap two events from this week - Matillion's Data Unlocked and the first MLOps Community event in Silicon Valley, hosted at Coactive.ai's office. Lots to unpack in 8 minutes, so let's get going.
Peggy Tsai joins me to chat about a ton of hard topics. We chat about how to set up Chief Data Officers for success (not easy), data maturity, data and ESG, and a ton more. Enjoy this very wide-ranging chat.
Katharine Jarmul and I chat about the Biden AI Executive Order. Enjoy!
Dave McComb (CEO of Semantic Arts) is one of the most thoughtful and original people I know in the data space, having pioneered the use of semantics and knowledge graphs in the 1990s. We talk about a wide range of topics, including interoperability at the data level, the data-centric revolution, and much more.
Note - there was a weird and unresolved connection issue that caused some static at varying points during our call.
Marketing is a well-established field, yet there is still a massive gulf between CEO and CMO expectations. If CMOs are still trying to get traction with their CEOs, what hope do Chief Data Officers have? I rant about this.
WSJ article: Divide Between CMOs and CEOs is Growing: https://www.wsj.com/articles/divide-between-cmos-and-ceos-is-growing-research-finds-a73374f4?st=bcayeo7wc9j18fd&reflink=desktopwebshare_permalink
Bill Inmon and I sat down in his home over a weekend to tell me the history of the data industry. This is a very rare and wide-ranging conversation about the dawn and evolution of the data industry, straight from the godfather himself.
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