Data Engineering Central Podcast

Data Engineering in Real Life

Long Live the Data Engineer. No holds barred. Talking about Data Engineering news, topics, and general mayhem. dataengineeringcentral.substack.com

  1. 5D AGO

    The Lakehouse Architecture: Multimodal Data, Delta Lake, and the Future of Data Engineering (with R. Tyler Croy)

    In this episode of the Data Engineering Central Podcast, I sit down with R. Tyler Croy for a wide-ranging conversation on the present—and future—of modern data platforms. Tyler is a long-time open-source contributor to projects such as delta-rs. You can watch him on YouTube, read his blog, or work directly with him through his consultancy, Buoyant Data. Tyler has spent years deep in the open-source data ecosystem, contributing to projects such as Delta Lake and thinking critically about how real-world data systems are built and maintained. This isn’t a hype-driven conversation—it’s a grounded discussion about what’s working, what’s breaking, and what’s coming next. We dig into: * What the Lakehouse architecture gets right—and where it still falls short * Why multimodal data (text, images, audio, video, embeddings) changes everything * How open table formats like Delta Lake fit into the next generation of data platforms * The growing gap between data tooling hype and day-to-day data engineering reality * What skills and architectural thinking will matter most for data engineers over the next decade If you’re building or operating modern data platforms—and trying to separate real signal from noise—this episode is for you. Thanks for reading Data Engineering Central! This post is public so feel free to share it. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit dataengineeringcentral.substack.com/subscribe

    59 min
  2. From DBA to Data Everything

    JAN 14

    From DBA to Data Everything

    In this episode of the Data Engineering Central Podcast, I interview a Data OG, someone who’s been around the data space forever, and we talked about all things data, past, present, and future. I’m joined by Thomas Horton a longtime friend and one of the most well-rounded data professionals I know. Over the course of his career, Tom has worn just about every hat in data: developer, DBA, analyst, and everything in between. He’s lived through the era of on-prem databases, the rise of analytics, and the constant reinvention that defines modern data engineering today. We talk about what’s changed, what hasn’t, and why many of the “new” problems in data feel oddly familiar. We also dig into lessons learned the hard way, lessons that are just as relevant for early-career data engineers as they are for seasoned practitioners navigating today’s ever-expanding stacks. On a personal note, a huge portion of what I know about relational databases and analytics can be traced back to Tom. This conversation is part reflection, part history lesson, and part reality check on where the data industry is headed next. * If you’re interested in the past, present, and future of data—and what really matters beneath all the tooling, this is an episode you won’t want to miss. Thanks for reading Data Engineering Central! This post is public so feel free to share it. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit dataengineeringcentral.substack.com/subscribe

    1h 6m

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Long Live the Data Engineer. No holds barred. Talking about Data Engineering news, topics, and general mayhem. dataengineeringcentral.substack.com

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