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Learn how Riot Games transformed their data engineering workflows by migrating from custom Databricks notebooks and Spark pipelines to a scalable dbt-based architecture in this 18-minute conference talk. Discover the strategic approach taken by Riot's Developer Experience & Automation team to design and operationalize dbt, resulting in reduced Databricks compute costs and accelerated development cycles. Explore the challenges of transitioning from bespoke solutions to a more testable and developer-friendly framework, and understand the practical implementation strategies that enabled this transformation to support Riot's evolving data infrastructure needs. Gain insights into best practices for rolling out dbt at scale within a gaming company's data engineering environment, including lessons learned about developer adoption, operational considerations, and the measurable impact on both cost efficiency and development velocity.
