Vinoth Chandar - The Future of Open Data Lakehouses
Vinoth Chandar (CEO at Onehouse and creator of Apache Hudi) and I chat about the creation of Apache Hudi, the future of open data lakehouses, and much more.
Activities tracked
138
What happens when a best-selling author and "recovering data scientist" gets a microphone? This podcast.
I'm Joe Reis, and each week I broadcast from wherever I am in the world, sharing candid thoughts on the data, tech, and AI industry.
Sometimes it's a solo rant. Other times, I'm chatting with the smartest people I know.
If you're looking for an unfiltered perspective on the state of AI, data, and tech, you've found it.
Sessions & talks
Showing 51–75 of 138 · Newest first
Vinoth Chandar (CEO at Onehouse and creator of Apache Hudi) and I chat about the creation of Apache Hudi, the future of open data lakehouses, and much more.
Vaibhav Gupta and I chat about our shared love for tacos in Austin, the evolution of AI tools, and why new thinking and approaches are required for AI-first tools.
BAML: https://github.com/BoundaryML/baml
Mark Freeman joins me to chat about data contracts, the crazy life of being the first employee at a hot startup, writing books and creating content, and much more.
Willis Nana and I chat about the challenges of data engineering leadership, foundational skills, and his journey to a content creator on YouTube.#dataengineering #data #ai #datateam #leadership
Salma Bakouk (CEO of Sifflet) and I discuss the evolving data and AI landscape, the rise of data observability in the age of AI, balancing personal and professional life as a founder, and much more.
Simon Späti and I discuss various aspects of writing, data engineering, and the impact of AI on the writing process. Simon shares his journey from business intelligence to data engineering and his current focus on writing. We also discuss the future of writing in the age of AI. Enjoy!
In this episode, I explain how I use (and don't use) AI for writing.
My semi-regular co-host and bestie Carly Taylor joins me once again. This time we chat about the true cost of replacing engineers with AI. We explore the implications of mass layoffs, the importance of company culture, and the potential for burnout among tech workers.
Things aren't great in the world of data practitioners. Lots of technical debt and lack of pride in one's craft. The pressure to do more with less only compounds this problem. And AI will make it far worse. If you think the amount of poorly made data architecture and models is bad now, I think we're in for another level very soon. With AI CoPilot on the rise, right as data skills and knowledge decline, I'm increasingly worried we'll offload our critical thinking and skills to AI. The outcome will be an ever expanding Great Pacific Garbage Patch of AI Data Slop.
Join Eric Broda and me for a fascinating discussion on the cutting edge of AI! We chat about the rapidly evolving world of AI agent ecosystems, exploring their potential to transform industries and reshape the future of work.Eric shares his hard won perspective on the challenges and opportunities facing consultancies in the age of AI, and why he believes AI agents could signal a significant shift in the consulting landscape. We also discuss the ins and outs of running a successful consultancy in today's dynamic market.Key topics covered:-The rise of AI agent ecosystems and their implications-How AI is disrupting the traditional consulting model-The future of consultancies in an AI-driven world-Insights into building and managing a successful consultancy-Whether you're an AI enthusiast, a consultant, or simply curious about the future of agents, this conversation with Eric Broda offers valuable insights and thought-provoking perspectives.#AIAgents#ArtificialIntelligence#Consulting#FutureOfWork#AI#Business#Innovation#Technology
Hugo Bowne-Anderson and I chat about the future of AI and automation, agents, and much more.
With AI becoming engrained in nearly every product, there's still a BIG problem - AI and product teams have trouble working together. Whether it's different communication and working styles, or lack of a common language, AI teams stall because they can't align with Product. Anne-Claire Baschet & Yoann Benoit join me to chat about unifying AI and Product Development.
Article: AI & Product: Two Development Cycles to Unifyhttps://craftingdataproducts.substack.com/p/ai-and-product-two-development-cycles
David Jayatillake joins me to chat about semantic layers, assessing value in data work, AI, and much more.
David's LinkedIn: https://www.linkedin.com/in/david-jayatillake/
Remco Broekmans and I chat about data modeling and the business, Data Vault, and using AI to accelerate data modeling.
Chip Huyen joins me to chat about AI Engineering, AI Agents, and much more.
Sarah Levy (CEO of Euno) joins me to chat about modern data governance for analytics.
Euno - https://euno.ai/
Carsten Bange (Founder & CEO of BARC) joins me to chat about trends in data, analytics, and AI.
BARC website: www.barc.com
Carsten on LinkedIn: https://www.linkedin.com/in/carsten-bange/
BARC Data Culture Summit: https://barc.com/events/data-culture-summit%20/
BARC DATAfestival: https://barc.com/events/data-festival/
Will AI chatbots replace old school BI dashboards and reports? Or can they co-exist with one another? Will AI help the often poor adoption by the business of dashboards and reporting? I rant about this and more in this latest episode.
Dave Colls and David Tan join me to chat about building effective machine learning teams, the challenges they face, the 7 deadly wastes in data and ML, writing a book, and much more.
Get their book here: https://amzn.to/3DS2OMp
It's 2025! We made it! ;)
In this podcast, I rant about why data modeling matters more than ever, AI, and why humans will seek out "human" things in 2025 and beyond.
❤️ Your support means a lot. Please like and rate this podcast on your favorite podcast platform.
🤓 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.substack.com/
🤓 My SubStack: https://joereis.substack.com/
It's December 31, 2024. Gordon Wong and I wrap up 2024 and chat about what we're excited about in 2025 in data and otherwise.
❤️ If you like my podcasts, please like and rate it on your favorite podcast platform.
🤓 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.substack.com/
🤓 My SubStack: https://joereis.substack.com/
Matt Housley and I have a LONG chat about working in consulting, leaving your job, AI, the job market, our thoughts on what's coming in 2025, and much more.
❤️ If you like my podcasts, please like and rate it on your favorite podcast platform.
🤓 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.substack.com/
🤓 My SubStack: https://joereis.substack.com/
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.
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 spreadsheet good enough?
Link: https://blog.det.life/apache-iceberg-the-hadoop-of-the-modern-data-stack-c83f63a4ebb9
❤️ If you like my podcasts, please like and rate it on your favorite podcast platform.
🤓 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.substack.com/
🤓 My SubStack: https://joereis.substack.com/
Health insurance denials are a big topic in America right now. Holden Karau joins me to talk about using AI to appeal health claim insurance denials.
Fight Health Insurance: https://fighthealthinsurance.com/