This week on The Data Stack Show, Eric and John chat with Matthew Kelliher-Gibson, Technical Product Marketing Manager at Rudderstack. During the episode, Matthew shares his extensive background in data and data science. With over a decade of experience across various industries, Matthew discusses his transition from analyst to managing data science teams and his journey through political campaigns to an MBA focused on business analytics. The group explores the challenges of purchasing data tools, emphasizing the need to drive business value by cutting costs and increasing revenue. They also discuss strategies for working with business users to prioritize company needs and build trust, personal productivity tools, managing tasks and knowledge, and more. 

This week on The Data Stack Show, Eric and Kostas welcome John Wessel who will be taking over as the new co-host of the podcast as Kostas passes the baton. Kostas reminisces about his journey in starting the podcast and details the challenges of getting the show off the ground. He also shares his journey in the data world, the idea for beginning the podcast, and how his curiosity-driven approach to conversations with industry leaders has grown the show into the success it is today. Kostas also talks about stepping back to focus on a new data infrastructure venture, offering advice to the new co-host, John about what he can expect on the show. Don’t miss this episode! 

This week on The Data Stack Show, Eric and Kostas chat with Andrew Lamb, a Staff Engineer at InfluxData. During the episode, Andrew takes us on a deep dive into the intricacies of time series databases and the evolution of data systems. He discusses the specialized challenges of managing high cardinality data and the trade-offs in query performance. The conversation also touches on the development of Data Fusion, its adaptation for time series data, and the potential for innovation in the query language space. The episode concludes with a look at the future of data tooling and the exciting possibilities that arise from removing traditional constraints in database architecture with each person expressing enthusiasm for the role of projects like Data Fusion in shaping the landscape of data systems. Don’t miss this episode!