This article explains state-aware orchestration, a method that enables efficient data pipeline management by tracking the state of tables and their dependencies. It discusses how this approach can reduce unnecessary processing and costs, particularly in complex environments with multiple data sources and schedules.

The dbt Fusion engine helps data teams save time and reduce costs by only running changed models, leading to over 29% savings in warehouse usage. The article discusses its benefits, including faster pipelines and improved developer experiences, along with insights from Obie Insurance and Analytics8 on their use of Fusion.

Fiverr rebuilt its data warehouse using dbt Cloud and Prefect to create dynamic data pipelines that execute only necessary components based on upstream changes. By implementing a custom orchestration layer, they achieved faster data delivery, reduced compute costs, and improved overall efficiency in managing data transformations. The solution emphasizes real-time readiness checks and targeted execution to optimize resource usage.