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The official podcast of tech/data nerd and "recovering data scientist" Joe Reis. He provides refreshingly candid thoughts on the world of technology and data. Each week, he broadcasts from somewhere in the world, sometimes ranting solo or with the smartest people in the business.
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The first time I met Amr Awadallah, he struck me as a rare person genuinely curious about the world and how technology and AI impact it. We discuss his early roots as an entrepreneur, the founding of Cloudera and Vectara, the challenges of AI in enterprises, what makes humans unique, and much more.
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I had an interesting conversation yesterday with a young gentleman upgrading my Google Fiber. While he was originally pursuing a career as a software developer, he and his friends decided against it after seeing the progress of ChatGPT over the last couple of years. As a father of two teenage boys, I often think about the nature of work, including …
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This morning, a great article came across my feed that gave me PTSD, asking if Iceberg is the Hadoop of the Modern Data Stack? In this rant, I bring the discussion back to a central question you should ask with any hot technology - do you need it at all? Do you need a tool built for the top 1% of companies at a sufficient data scale? Or is a spread…
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Hannes Muhleisen is the creator of DuckDB and CEO of DuckDB Labs. We finally got a chance to meet in person at the Forward Data Conference in Paris. We hit it off immediately, and at times, I felt like I was talking with my long lost brother. Hannes is a very cool guy! While at the conference, we recorded a chat about all things DuckDB, the challen…
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Dave and Johnny run Estuary, a data integration company focused on real-time ETL and ELT. We're also friends, so we decided to have a chat. In this episode, we chat about the current state of the data integration space, running a startup while raising kids, and much more. Estuary
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Bill Inmon is considered the father of the data warehouse. I just got back from spending a couple of days with Bill, and we discussed the history of the data industry and the data warehouse. On my flight back, I realized people could benefit from a short version of our conversation. In this short chat, we discuss what a data warehouse is (and is no…
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While at lunch with a friend today, the question came up of whether he should invest his time into content (videos and courses) or consulting. Having run a consultancy (and exiting the consulting game), I quipped that consulting often has a negative net present value. What do I mean? Listen on... Note - I'm trying out a new format where I'll record…
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People often ask me for career advice. In a tough job market where people are sending out thousands of resumes and hearing nothing back, I notice a lot of people have weak networks and are unknown to the companies they're applying to. This results in lots of frustration and disappointment for job seekers. Is there a better way? Yes. People need to …
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Let's do things the right way, not just the fast way. My works: 📕Fundamentals of Data Engineering: https://www.oreilly.com/library/view/fundamentals-of-data/9781098108298/ 🎥 Deeplearning.ai Data Engineering Certificate: https://www.coursera.org/professional-certificates/data-engineering 🔥Practical Data Modeling: https://practicaldatamodeling.substa…
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I speak at a lot of conferences, and I've lost track of how many questions I've answered. Since conferences are top of mind for me right now, here are some tips for asking good (and bad) questions of speakers. My works: 📕Fundamentals of Data Engineering: https://www.oreilly.com/library/view/fundamentals-of-data/9781098108298/ 🎥 Deeplearning.ai Data…
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I've seen a TON of horror stories with tech debt and code migrations. It's estimated that 15% to 60% of every dollar in IT spend goes toward tech debt (that's a big range, I know). Regardless, most of this tech debt will not be paid down without a radical change in how we do things. Might AI be the Hail Mary we need to pay down tech debt? I don't s…
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Anne-Claire Baschet and Yoann Benoit recently wrote a wonderful article called The Data Death Cycle, which describes the feedback loop of doom that many data teams find themselves in. Here, we discuss the Data Death Cycle in detail. Article: https://medium.com/craftingdataproducts/the-data-death-cycle-6b10ef261d8e…
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Larry Burns and I chat about all things data teams—how they fail, their challenges, and how they can add value. To add value, we need to reimagine not only how we think about data but also how we manage knowledge. Larry brings a fresh and battle-worn perspective to the data field, and if you work on or manage a data team, this conversation is worth…
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This week I posted about how some major conferences charge a bunch of money for tickets and sponsorship, but don't pay speakers. As a speaker, I find this unethical and exploitative. Here, I unpack my thoughts on speaking at conferences. If you're a speaker, or want to become one, this is worth your time to listen. My post: https://www.linkedin.com…
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Vijay Yadav (Director of Data Science at Merck) joins me to chat about a very interesting project he launched at Merck involving LLMs in production. A big part of this discussion is how to make data ready for generative AI. This is a great example of an LLM-native use case in production, which are rare right now. Lots to learn from here. Enjoy! Lin…
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In my newsletter last week, I wrote "Data’s still a mess. Most data initiatives fail. Data teams are seen as a cost center and not getting the support they deserve. Same as it ever was." Here, I unpack those four sentences. Data teams need to stop stop playing to not lose. Instead, they need to play to win!…
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Navnit Shukla is a solutions architect with AWS. He joins me to chat about data wrangling and architecting solutions on AWS, writing books, and much more. Navnit is also in the Coursera Data Engineering Specialization, dropping knowledge on data engineering on AWS. Check it out! Data Wrangling on AWS: https://www.amazon.com/Data-Wrangling-AWS-organ…
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Venkat Subramaniam is a programmer, author, speaker, and founder of Agile Developer, Inc. I've seen him speak several times, and was always blown away by his passion and technical depth. So, I was excited to have him on the podcast. We chat about agile development in the real world, learning to do less, and much more. Venkat is extremely wise, and …
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Uncle Rico is a character in the movie Napoleon Dynamite, who is stuck in the past, reminiscing about his days as a high school football star. If only he'd won the game and went to the state championship. Some of the data industry reminds me of Uncle Rico. During a recent panel, there was a question about whether AI can help with data management (g…
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Paco Nathan is a national treasure. He's not only an OG in the field of AI, but he's also instrumental in early hacker and cyberpunk culture. When I first met Paco, it suddenly clicked that I'd seen his name in various cyberpunk and alternative zines back in the 1990s. We have a chat all sorts of crazy stuff, and I feel like we only got to 5% of th…
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Ergest Xheblati is a data architect and author of Minimum Viable SQL Patterns. We chat about the opportunities and challenges of SQL, things that don't change in tech and data, writing and publishing books, and much more. LinkedIn: https://www.linkedin.com/in/ergestx/ Other links: https://www.ergestx.com/links/…
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Demetrios Brinkmann is the co-founder of the massively global MLOps Community. We chat about AI hype vs reality, building a global tech community, and ROI of AI projects, and much more. LinkedIn: https://www.linkedin.com/in/dpbrinkm/ MLOps Community: https://mlops.community/
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"Do you and Zach Wilson hate each other?" I get asked questions like this, and it makes me laugh. We're good friends for the record. Most people play zero sum games, where one person wins and another loses. Questions like this got me thinking about how content creation is a positive sum game. You can consume content from many people, and this benef…
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Until recently, Nik Suresh wrote under a mysterious blog that had several viral posts, including the famous "I Will F*cking Piledrive You If You Mention AI Again." For the longest time, he was an underground sensation, with nobody (not even his friends) knowing his identity. In this episode, we chat about his blog posts (I'm a huge fan), the realit…
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