This week on The Data Stack Show, Eric and Kostas chat with Apurva Mehta, Co-Founder and CEO of Responsive, about event-driven applications and the necessary infrastructure. Apruva shares his journey from LinkedIn to Confluent and eventually founding Responsive, focusing on managing event-driven applications in the cloud. The discussion covers the definition of event-driven applications, the significance of latency and state in event processing, and the evolution of Kafka and Kafka Streams. They also explore the challenges of managing Kafka in production, the developer experience with Kafka Streams, and the operational complexities of running distributed stateful applications. Apruva highlights Responsive’s approach to simplifying the management of these applications, the potential for innovation in event-driven architectures, and more. 

This week on The Data Stack Show, Eric and Kostas chat with Chad Sanderson, the CEO at Gable.ai. During the episode, Chad discusses the complexities of managing the data supply chain, emphasizing the importance of data quality, feedback loops, and aligning incentives within organizations. He shares his journey from analyst to data infrastructure leader at companies like Oracle, Sephora, and Microsoft. Chad introduces his company, Gable, which tackles upstream data quality issues. He critiques traditional data catalogs and advocates for a more dynamic, decentralized approach. The conversation explores the role of metadata, the integration of data quality checks in the software development lifecycle, the need for cultural shifts towards data responsibility, the significance of full lineage graphs and semantic metadata, treating data as a product with quality gates, and more.

This week on The Data Stack Show, Eric and Kostas chat with Kevin Liu, Software Engineer at Stripe. During the episode, Kevin discusses data infrastructure challenges and the development of data products. He also shares insights on the importance of metadata management and the role of catalogs in maintaining data consistency across various systems. The conversation also covers open-source projects like the Python Iceberg library and the future of databases in the cloud, the ease of use of internal tools, the integration of data for builders, the balance between simplicity and functionality in user interfaces, and more.