This week on The Data Stack Show, Eric and John welcome back Matt Kelliher-Gibson for another edition of the Cynical Data Guy. The group dives into the latest tech trends, discussing Klarna’s AI-first customer support strategy and subsequent reversal, the high costs and limitations of big consulting firms in AI strategy, and the often-overlooked simplicity of data management in successful companies. The group critically examines the current state of AI implementation, data science practices, and corporate technology transformation, highlighting the importance of understanding business needs over technical accuracy. The conversation provides listeners with a humorous yet insightful look into the challenges of integrating new technologies, the role of human expertise, the potential pitfalls of blindly following industry trends, and so much more.

This week on The Data Stack Show, Brooks and John welcome Pete Hunt, CEO of Dagster Labs. During this conversation, Pete takes listeners on a fascinating journey through the evolution of data platforms, sharing insights from his experiences at Facebook and Twitter. Pete discusses the critical challenges of managing data complexity, emphasizing the importance of software engineering best practices and strong abstractions in data orchestration. He explores how emerging technologies like AI are transforming data workflows, breaking down traditional team boundaries, and enabling more collaborative, self-service data engineering. The conversation also highlights Dagster’s innovative approach to building a data control plane, with a focus on empowering different stakeholders through flexible, composable tools. Listeners will gain valuable perspectives on the future of data engineering, the role of AI in development, the importance of creating adaptable, user-friendly data infrastructure, and so much more.

This week on The Data Stack Show, the guys chat with Pranav Aurora, Co-Founder of Mooncake Labs. Pranav shares his innovative approach to simplifying data infrastructure by bridging Postgres and Iceberg technologies. He also discusses his journey from Single Store to launching a startup that aims to solve real-world data challenges, focusing on creating a seamless, developer-friendly extension that allows businesses to easily sync row and column store tables with minimal configuration. The conversation explores the complexities of modern data stacks, the importance of first-principle thinking, and how startups can leverage AI and community feedback to build transformative technologies. Key takeaways include Mooncake’s mission to provide operational analytics with just a few lines of SQL, the potential of Postgres extensions, the value of solving genuine pain points for developers and data teams, and more.