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
In my global travels, I've spoken to countless practitioners and leaders in the data field. I discuss two common themes of questions I get - "How do I work with the business?" and "What tools should I use?"
Matt Sharp and Chris Brousseau join me to chat about writing their new book "LLMs in Production" (Manning). What's it like to write a book in a field that's changing at light speed? How do two people write a book together? We dive into this and much more.
Note - we recorded this outside at the Utah State Capitol. There's a bit of background noise, but it hopefully doesn't distract from the conversation. It was too nice of a day to be stuck inside :)
I’m at the Gitex Dubai conference. It’s huge, with 170k in attendance! There’s a lot of hype about AI. I unpack my thoughts on the latest AI hype cycle in my usual ranty manner. Enjoy!
Johnny Graettinger (CTO of Estuary) joins the show to give a clinic on streaming and immutable logs. We cover a lot of ground in this technical deep dive. Enjoy!
Estuary: https://estuary.dev/
Gazette: https://gazette.readthedocs.io/en/latest/
Github (Estuary Flow): https://github.com/estuary/flow
LinkedIn: https://www.linkedin.com/in/johngraettinger/
Just wrapped up DEWCon, a great data engineering conference in Bangalore, India. I've participated in most data engineering events around the world this year, and I keep seeing the same things - data engineers seek guidance, mentorship, and a sense of best practices. I think we can build a global data engineering community that helps data engineers level up and share their experiences.
Bob Muglia joins the show to talk about why we need to move beyond SQL, semantic models, the power of knowledge graphs, the past, present, and future of databases, and much more.
Bob has a storied history in the data space, having significant involvement with Microsoft Office, SQL Server, Snowflake (former CEO), and much more. It's rare to meet someone with such a deep involvement in the creation of our industry, and this was a fascinating conversation.
Also, check out Bob's book, "The Datapreneurs." One of the best books about the data industry I've read in ages.
LinkedIn: https://www.linkedin.com/in/bob-muglia/
X: https://twitter.com/Bob_Muglia
Book: https://www.amazon.com/Datapreneurs-Promise-Creators-Building-Future-ebook/dp/B0BZQFJ5RP
As I've ranted for a while now, I think our biggest challenge as an industry is the knowledge and skills to do our properly do our jobs. Too often, I see data professionals flounder on seemingly simple problems, even using the hottest, coolest technologies. Don't blame the tool, blame the user.
How do you sharpen your skills? I give some advice in this episode.
Egor Gryaznov joins me to chat about the "Non-Modern Data Stack", getting out of our data bubble, and much more. If you like a refreshing conversation talking about the past, present, and future of our industry, this is for you.
BigEye: https://webflow.bigeye.com/
LinkedIn: https://www.linkedin.com/in/egorgryaznov/
Vendors are an integral part of conferences (they pay for them, for one). But what happens when vendors face a tough market? Between higher interest rates, a tough funding environment, and a lukewarm market for what vendors are selling, what happens? I unpack some thoughts on what I think 2024 will look like for vendors at conferences.
Jason Taylor and I chat about low-key data happy hours, getting outside of your comfort zone, finding new ideas, the divides in the data space, fighting dumpster fires, and much more. This is a wide-ranging chat about a lot of key topics in the data space. Enjoy!
LinkedIn: https://www.linkedin.com/in/jasonbennetttaylor/
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