Due to the fact normally there are plenty of aggregations that can be calculated, normally just a predetermined selection are completely calculated; the rest are solved on desire. The issue of choosing which aggregations (sights) to compute is named the view selection issue. Watch selection is often constrained by the full size of the selected list of aggregations, the time to update them from changes in The bottom details, or equally.
A simple case in point can be a dice which contains a retail store's gross sales being a measure, and Date/Time being a dimension. Each Sale provides a Date/Time label that describes more details on that sale.
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ROLAP relies on the final intent database for querying and caching, and thus numerous Exclusive methods utilized by MOLAP equipment are certainly not obtainable (for instance Unique hierarchical indexing).
Each evaluate is usually thought of as possessing a set of labels, or meta-facts connected with it. A dimension is exactly what describes these labels; it provides information regarding the measure.