All Episodes

Episode 172

January 10, 2024

with Matt Butcher

 – CEO, Fermyon Technologies

This week on The Data Stack Show, Eric and Kostas chat with Matt Butcher, the CEO of Fermyon Technologies. During the episode, Matt discusses his career journey from philosophy to software development, and his work with various programming languages and cloud ecosystems. He talks about his experiences with Google’s infrastructure and container technology, and his various stops along the way before becoming CEO at Fermyon. The discussion also covers the use of WebAssembly for cloud computing, its advantages over virtual machines and containers, its potential for revolutionizing application development, and more. 

Episode 171

January 3, 2024

with Sandy Ryza

 – Lead Engineer, Dagster

This week on The Data Stack Show, Eric and Kostas chat with Sandy Ryza, Lead Engineer at Dagster. During the episode, Sandy shares insights on data cleaning, data engineering processes, and the need for improved tools. He introduces Dagster, an orchestrator that focuses on assets like tables, datasets, and machine learning models, and contrasts it with traditional workflow systems. He also explains Dagster’s integration with DBT, while also exploring the changing dynamics in data roles, the impact of modern tooling, the potential for increased creativity in the field, and more. 

Episode 170

December 27, 2023

with Katie Bauer

 – Head of Data, GlossGenius

This week on The Data Stack Show, Eric and Kostas chat with Katie Bauer, the Head of Data at GlossGenius. During the episode, Katie shares her journey in data science, starting from academia to working in various industries including natural language search, social media, and now the beauty and salon space. She discusses the evolution of the data scientist role, the challenges faced in different companies, and the importance of understanding the specific needs of different business models. She also highlights the potential of using data products to provide value back to businesses, the importance of having an analytics engineer in an organization, and more.