Wednesday, March 11, 11:00 AM EST

Modern Data Modeling in Production

 Join us for a practical, production-ready walkthrough of modern data modeling, where ERDs meet dbt DAGs. Built for teams who need scalable, maintainable models and a smoother path from collaboration to deployment.

As data platforms evolve toward AI-ready architectures, teams face growing complexity in how they design, manage, and operationalize data models across the modern data stack.

In this joint session, experts from SqlDBM and dbt will walk through practical, production-proven approaches to orchestrating data modeling workflows and demonstrate how to syncronize them with minimal effort. We’ll offer a live demo of SqlDBM’s latest dbt manifest upload feature and a sneak peek of dbt Fusion - the next-generation dbt engine.

You’ll learn how leading teams:

• Structure data models for scale and long-term maintainability
  
  
• Align modeling practices between analytics engineering and platform teams
  
  
• Curate a single pane of glass for relational and transformational workflows
  
  
• Reduce friction between data architecture and downstream analytics use cases
  

  
  

This session is designed for:

• Data Architects

• Data Engineers

• Analytics Engineers

• Platform Teams responsible for building, governing, and operating data models in production environments.