The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:Apruva’s background in streaming technology (0:48)Developer experience and Kafka streams (2:47)Motivation to bootstrap a startup (4:09)Meeting the Confluent founders and early work at Confluent (6:59)Projects at Confluent and transition to engineering management (10:34)Overview of Responsive and event-driven applications (12:55)Defining event-driven applications (15:33)Importance of latency and state in event-driven applications (18:54)Low Latency and Stateful Processing (21:52)In-Memory Storage and Evolution of Kafka (25:02)Motivation for KSQL and Kafka Streams (29:46)Category Creation and Database-like Interface (34:33)Developer Experience with Kafka and Kafka Streams (38:50)Kafka Streams Functionality and Operational Challenges (41:44)Metrics and Tuning Configurations (43:33)Architecture and Decoupling in Kafka Streams (45:39)State Storage and Transition from RocksDB (47:48)Future of Event-Driven Architectures (56:30)Final thoughts and takeaways (57:36)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Data expert Chad Sanderson discusses modern data quality and management practices on this podcast. Topics include challenges with the modern data stack, rethinking data catalogs, AI impact on data, incentivizing engineers for data quality, and the role of AI in data semantics. The conversation also touches on data as a product, quantifying the cost of data changes, and the importance of slowing down to go faster in data management.

Chad Sanderson, founder of Gable.ai, talks about managing data upstream, collaboration among engineering teams, and comparing data pipelines to supply chains using McDonald's as an example for optimization and efficiency.

Kevin Liu from Stripe discusses evolving data infrastructure, speech recognition work at Amazon, metadata analysis surprises, product sizing, data pipelining, and the future of open source projects in data infrastructure.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Mike Driscoll, Co-founder of Rill Data, discusses the evolution of Druid, architectural decisions, user and developer experiences, BI tools, data architecture, AI's impact on BI. He also shares humorous dreams outside of data.

Mike Driscoll shares his journey from banks to MetaMarkets to Rill Data, discussing the rise of technologies like Druids and trends in data engines. They explore the transition to serverless frameworks in the cloud for operational business intelligence.

Kunal Agarwal, CEO of Unravel Data, discusses data operations evolution, Unravel's role, challenges at scale, ROI on data products, cost management, observability in AI, and AI adoption challenges. He shares his journey from fashion to enterprise data management, emphasizing efficiency in cost management and measuring productivity and reliability. The podcast explores diverse technologies in data operations and final takeaways on driving better outcomes with data.