Episodes

Latest Episode
MLOps Evolution: Data, Experiments, and AI with Dean Pleban from DagsHub

MLOps Evolution: Data, Experiments, and AI with Dean Pleban from DagsHub

Episode 4 · · 53:55

In this episode, we chat with Dean Pleban, CEO of DagsHub, about machine learning operations. We explore the differences between DevOps and MLOps, focusing on data management and exp...

How Denormalized is Building ‘DuckDB for Streaming’ with Apache DataFusion

How Denormalized is Building ‘DuckDB for Streaming’ with Apache DataFusion

Episode 3 · · 01:02:01

In this episode, Kostas and Nitay are joined by Amey Chaugule and Matt Green, co-founders of Denormalized. They delve into how Denormalized is building an embedded stream processing ...

Unifying structured and unstructured data for AI: Rethinking ML infrastructure with Nikhil Simha and Varant Zanoyan

Unifying structured and unstructured data for AI: Rethinking ML infrastructure with Nikhil Simha and Varant Zanoyan

Episode 2 · · 01:01:45

In this episode, we dive deep into the future of data infrastructure for AI and ML with Nikhil Simha and Varant Zanoyan, two seasoned engineers from Airbnb and Facebook. Nikhil and V...

Stream processing, LSMs and leaky abstractions with Chris Riccomini

Stream processing, LSMs and leaky abstractions with Chris Riccomini

Episode 1 · · 53:06

In this episode, we  chat with Chris Riccomini about the evolution of stream processing and the challenges in building applications on streaming systems. We also chat about leaky abs...