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Case studyData engineering & the warehouse/lakehousedbtApache Iceberg
dbt Labs Blog · Read source ↗

Obie Insurance claims to have drastically reduced their month-end close time from 25 hours to just 2 by leveraging dbt State and an Apache Iceberg-based lake house. This significant reduction is attributed to their restructured data setup, which purportedly enhances efficiency.

MyDataWork POV — The claim that dbt State and an Apache Iceberg lake house can compress a 25-hour process into 2 hours is intriguing, but how replicable is it? Without a detailed breakdown of the process changes and efficiency gains, it's hard to separate genuine improvement from well-phrased marketing. Speed gains of this magnitude often hide complexities that aren't addressed in a headline — not every insurance firm will see the same results without deep, underlying changes in data governance and infrastructure.
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