This week on The Data Stack Show, John and Matt welcome Pedram Navid, Chief Dashboard Officer at Dagster Labs. During the conversation, Pedram shares his career evolution from consulting to his current role, where he oversees data, developer relations (DevRel), and marketing. The discussion delves into the synergies between DevRel and marketing, emphasizing the importance of understanding developers’ learning preferences. Pedram explains data orchestration, highlighting its role in managing and automating data workflows. He also discusses Daxter’s unique asset-based approach, which enhances visibility and control over data processes, catering to users from novices to experts, and so much more.

This week on The Data Stack Show, John is joined by the Cynical Data Guy (Matt Kelliher-Gibson) as they look back on Christmas and New Year’s as they delve into the evolving data landscape. They discuss trends in AI, the year-end rush for product releases dubbed “12 days of shipments,” and the dynamics between data engineers and analysts. The conversation also highlights the importance of data warehousing and open-source data formats, reflecting on the industry’s shift towards more accessible and flexible data practices. The episode concludes with reflections on 2024 and hopes for continued progress in data management in this new year. Don’t miss it!

This week on The Data Stack Show, John is joined by the Cynical Data Guy (Matt Kelliher-Gibson) as the pair welcomes back Joe Reis to the show. Joe discusses his new book on data modeling and shares insights on the evolution of data modeling practices, emphasizing the need to understand various data types and use cases. The conversation explores challenges in data education, highlighting the limitations of traditional academic programs and the importance of foundational principles over specific tools. The group also delves into hiring practices, stressing the value of character and continuous learning. The episode concludes with reflections on the impact of AI, the future of data education, and more.