What is a 'view' vs a 'dataset' in Foundry's data catalog?

What is a 'view' vs a 'dataset' in Foundry's data catalog?

• A. A dataset is the underlying stored data; a view is a derived representation exposing a subset/aggregation for consumption.
• B. A dataset is a derived representation; a view stores underlying data.
• C. Both are identical.
• D. A view is the underlying stored data; a dataset is derived.

Answer: (A)

In Foundry's data catalog, a dataset is the actual stored data you pull from. A view is a derived representation built from that dataset (often with a subset of columns, rows, or an aggregation) that is exposed for consumption. The view doesn’t duplicate data; it defines a tailored view of the underlying dataset, which can be used by downstream apps, dashboards, or analyses. This separation lets you expose only what’s needed or group results in a way that supports specific use cases, while keeping the original data unchanged.

In Foundry's data catalog, a dataset is the actual stored data you pull from. A view is a derived representation built from that dataset (often with a subset of columns, rows, or an aggregation) that is exposed for consumption. The view doesn’t duplicate data; it defines a tailored view of the underlying dataset, which can be used by downstream apps, dashboards, or analyses. This separation lets you expose only what’s needed or group results in a way that supports specific use cases, while keeping the original data unchanged.