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Data OS: a governed lakehouse with the policy baked in

SQL, warehouses and pipelines where column-level policy travels with the query.

Data OS

The lakehouse is not a bucket with a query engine bolted on. Every column carries a classification, and the planner rewrites a query to drop the columns a reader may not see — before a byte is scanned, and it tells you which ones it withheld.

You get an Iceberg catalog, elastic compute pools, pipelines with data-quality expectations, and a cost preview that says what a query will scan before you run it.

Data OS: a governed lakehouse with the policy baked in · ProjectX