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
Benny and I chat about whether data is a profession (in the traditional sense), moving from CDO at a large company to solo consulting, building an audience and staying consistent with content, and much more.
LinkedIn: https://www.linkedin.com/in/bennybenford/
Elevating Data to a Profession (link): https://www.datent.com/p/elevating-data-to-a-profession-why
Blog: https://www.datent.com
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If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
Imagine two extremes. On one end, data modeling is done perfectly and harmoniously across the data lifecycle. On the other end, data modeling is ignored and thrown into the dustbin of history. Along this spectrum, where do you think we are as a data industry?
I'm leaving this question open-ended right for now and would appreciate your thoughts.
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If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
Ranjith Raghunath is a customer experience (CX) wizard, and we chat about why CX is important, modeling the customer journey process, the impact of AI on CX, and much more.
Ranjith's LinkedIn: https://www.linkedin.com/in/ranjith-raghunath/
CX Data Labs: https://www.cxdatalabs.com/
Note - there were some technical difficulties around the 44:00 minute mark. Nothing major though.
Peter Hanssens is the founder of DataEngBytes, the forward-thinking conference on all things data engineering. In this chat, we talk about what to expect at the 2023 edition of DataEngBytes, the tech scene in Australia, his views on the current and future field of data engineering, and much more.
#data #dataengineering #dataengbytes
It's no secret that AI is useful, but it's super hard to cut through the BS.
Maya Mikhailov and I chat about the very confusing ML/AI landscape. This is a great discussion that offers many pointers if you want to leverage ML and AI, but you're unsure how to do so.
Maya's LinkedIn: https://www.linkedin.com/in/mayam/
Savvi AI: https://www.savviai.com/
#ai #ml #data #datascience
I'm starting to see more and more discussions about soft skills and people skills. In this episode, I talk about why tech skills are table stakes, and soft skills are where you need to level up if you want to boost your career.
Office Space clip: https://www.youtube.com/watch?v=hNuu9CpdjIo
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If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
Tristan Handy and I chat about balancing competing tensions, both personally and leading dbt Labs. We also discuss the power of organizational behavior, naming problems to solve, and home remodeling.
This is different from the normal interviews you'll hear with Tristan, and I hope you enjoy it!
#dbtlabs #data #analyticsengineering
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If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
After a whirlwind of conferences with the two "big players in the data space," I share some thoughts on how we can improve the conferences targeted at the data engineering community.
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If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
Solomon Kahn has led data teams at startups and big companies. We talk about the advantages of being a data person in a big company, what makes a good data team, why he thinks embedded analytics suck, his new startup Delivery Layer, and much more.
Delivery Layer: https://www.deliverylayer.com/
Solomon's LinkedIn: https://www.linkedin.com/in/solomonkahn/
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If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
Whenever Kris and I chat, there's an agenda, which is totally useless. Every single time we've talked, the conversation goes into different (I'll argue better) directions. In this episode, Kris and I delve into the art and craft of programming, finding your tribe as a developer advocate, and so much more. I hope you enjoy this great and meandering conversation.
Developer Voices podcast: https://open.spotify.com/show/2gXhwz0AQRv2cvw61kobE5
Kris's LinkedIn: https://www.linkedin.com/in/krisjenkins/
Kris's Twitter: https://twitter.com/krisajenkins
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If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
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