The Data Stack Show

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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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.

In this bonus episode, Eric and Kostas preview their upcoming conversation with Kunal Agarwal of Unravel Data. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Stanford University PhD student, Tony Wang, discusses his research focus on time series data management. Topics include challenges in academia and industry, academic lab structure, decision to move from hardware to data research, data modeling in time series, issues and potential solutions for parquet format, and the role of external indices in parquet files.

Tony Wang, an academic researcher at Stanford University, discusses his research in data systems and databases, the connection between academia and industry, and shares insights on data processing systems and future trends with the hosts.

Highlights from this week’s conversation include:Peter's background and journey in data (0:26)Introduction to PLG (4:18)Starting in data at Heroku (6:05)Building the data stack at Heroku (8:13)Data stack requirements for early-stage companies (12:00)Differentiating PLG companies from open source companies (19:26)Venture capital and open source as a lever for growth (22:56)Initial data modeling and analysis (25:38)Operationalizing Data (29:16)Sales and Marketing Operationalization (31:52)Identifying Signals (34:16)Challenges in Developing Signals (37:07)Account Management for Developer Tools (42:30)Challenges in Achieving Margins (45:02)Leveraging Infrastructure for Margins (47:35)Inference vs Training (54:55)Final thoughts and takeaways (57:02)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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

GTM consultant Peter Chapman discusses the importance of data in business operations, focusing on PLG and financial implications of data-driven tools. The episode also includes a preview of Peter's data journey at Roku and personal connection with the hosts in San Francisco and Silicon Valley.