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.
