Hear how EF (Education First) modernized its data stack from a legacy SQL Server-based environment to a modern Snowflake and dbt-based data stack. Find out what challenges and key decisions were handled during the process, and learn how to incorporate some of their key takeaways into your work.

Platform engineers from global pharmaceutical company invites you to explore our journey in creating a Cloud native, Federated Data Platform using dbt Cloud, Snowflake, and Data Mesh. Discover how we established foundational tools, standards, and developed automation and self-service capabilities.

Come see how dbt empowers teams to harness Apache Iceberg and Snowflake Open Catalog for reliable, scalable, and agile analytics pipelines

CHG Healthcare migrated 2000+ legacy MySQL jobs to dbt Cloud and Snowflake in record time. We'll share how Datafold used their AI-powered Migration Agent to migrate and refactor convoluted legacy code into dbt Cloud and Snowflake with full automatic validation, dramatically accelerating our modernization.

Learn how to structure your dbt projects to enable more collaborative development without losing control. This session covers best practices for managing GitHub repos, organizing Snowflake schemas, and enabling safe, governed access to dbt models. Leave with actionable workflows your platform team can implement today to balance speed and oversight.

Okta is rebuilding its data platform, moving from disconnected pipelines to a scalable, well-governed foundation with Snowflake and dbt. In this session, you’ll learn how we improved CI/CD, enabled self-service, and are now testing a prototype to make dbt models ready for AI.