All Episodes

Episode 160

October 18, 2023

with Santona Tuli

 – Head of Data, Upsolver

This week on The Data Stack Show, Eric and Kostas chat with Santona Tuli, Head of Data at Upsolver, a data pipeline tool that focuses on application developers. During the episode, Santona discusses her background in nuclear physics. The conversation covers topics such as specialized tools in data infrastructure, the challenges of working with data in different environments, and the importance of data as a business differentiator. They also discuss the features and capabilities of UpSolver and the need for quality and observability in data processing, and more.

Episode 159

October 11, 2023

with Bob van Luijt

 – CEO & Co-Founder at Weaviate

This week on The Data Stack Show, Eric and Kostas chat with Bob van Luijt, the CEO & Co-Founder at Weaviate. During the episode, Bob discusses the technical and business aspects of vector databases, delving into their differences from other types of databases and the opportunities they present. Bob shares his journey and how his love for music relates to his work in machine learning. The conversation also covers the progression of database complexity and the emergence of databases designed for specific data types, limitations of existing databases for vector processing, the importance of simplicity and user-friendliness in the user experience, generative feedback loops, and more.

Episode 158

October 4, 2023

with Nick Schrock

 – Founder, Dagster Labs

This week on The Data Stack Show, Eric and Kostas chat with Nick Schrock, Founder of Dagster Labs. During the episode, Nick discusses his background at Facebook and his involvement in successful open-source technologies like React and GraphQL. Nick explains the mismatch between the complexity and available tools in the data infrastructure space, leading him to start Dagster Labs. The group also talks about the challenges and fragmentation in the data engineering industry, the need for better abstraction layers, the role of orchestrators, comparing it to GraphQL’s role in product engineering, the importance of data orchestration in the future of data infrastructure and engineering, and more.