Coalesce 2024: Scaling dbt: Balancing self-serve analytics and central governance
Expert panelists share best practices for scaling dbt to handle transformations and metrics without stifling analyst freedom or causing team burnout.
Adopting dbt marks a significant leap towards governed data transformations. But with every game-changer, big questions arise: Where do data transformations end? Should they touch the BI layer? What roles do data engineers, analytics engineers, and business analysts play in data modeling? And, is centralizing metrics truly beneficial? Spoiler: It's about finding the balance between freedom and governance.
Our expert panelists will share best practices for scaling dbt to handle transformations and metrics without stifling analyst freedom or causing team burnout. You'll learn how to build a robust metrics layer in dbt and manage business logic as your data operation grows, all by establishing a solid foundation with dbt.
Speakers: Mark Nelson, Silja Mardla, Patrick Vinton, Sarah Levy