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Product launchData engineering & the warehouse/lakehousedbt
dbt Labs Blog · Read source ↗

dbt State is a new feature that allows users to reuse data models that haven't changed, reducing unnecessary data processing and cutting costs. This advancement aims to improve efficiency by preventing the rebuilding of unchanged data components.

MyDataWork POV — dbt State's ability to sidestep redundant rebuilds represents a paradigm shift in our approach to data efficiency while saving costs. The real power here lies in its simplicity—by focusing on what hasn't changed, it frees up resources for more strategic tasks. This focuses on sharpening clarity rather than taking shortcuts. But the challenge will be ensuring teams don't overlook the nuances of when and why to apply this reuse, which could lead to blind spots in data integrity.
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