This week on The Data Stack Show, Eric and Kostas chat with Kunal Agarwal, the Co-Founder and CEO of Unravel Data. During the episode, Kunal discusses the evolution of data operations and the role of Unravel in simplifying these processes. The group discusses the shift towards real-time workloads, the impact of AI and machine learning, and the challenges of cloud migration and managing complex data environments. Kunal shares his journey from fashion to data management and emphasizes the importance of observability for data ops teams. The conversation also covers cost optimization, the productivity of data teams, reliability of data systems, the unique cost management considerations in cloud versus on-premises setups, and more. 

This week on The Data Stack Show, Eric and Kostas chat with Tony Wang, Graduate Research Assistant (PhD) at Stanford University. During the episode, Tony discusses his journey from China to studying electrical and hardware engineering at MIT, his transition to data processing systems for his Ph.D., and the academic-industry connection. Tony shares insights on cloud data processing, the limitations of academic hardware projects compared to industry giants like NVIDIA, and the potential for software innovation in academia. He also delves into his current research focus on time series data management, the challenges of integrating different data systems, the goal of improving data processing efficiency, the sales aspect of his research, and more. 

This week on The Data Stack Show, Eric and Kostas chat with Peter Chapman, Peter is a consultant who specializes in helping PLG companies drive more revenue with data. With a background in data and revenue operations, Peter shares his experiences in building data stacks at startups like Heroku, emphasizing the early consideration of data architecture to avoid future issues. He highlights the significance of a cohesive data stack for product-led growth companies and the unique challenges faced by open-source companies in commercializing their projects. The conversation also explores the operationalization of data, the importance of aligning sales with a company’s technical ethos, debating the balance between inference and training costs, the strategic approach to margins by focusing on enterprise features over infrastructure reselling, and more. If you’d like to contact Peter about his advisory services, his email is peter@chapman-coaching.com.