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Applies to:Image RemovedKyvos Enterprise  Image RemovedKyvos Cloud (Managed Services on AWS)  Image RemovedKyvos Azure Marketplace

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Applies to: (tick) Kyvos Enterprise  (tick) Kyvos Cloud (SaaS on AWS) (tick) Kyvos AWS Marketplace

(tick) Kyvos Azure Marketplace   (tick) Kyvos GCP Marketplace (tick) Kyvos Single Node Installation (Kyvos SNI)

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Precomputing dimensions allow you to support support a large number of dimensions and attributes in a single semantic model.

Reduce the combinations of dimensions that are pre-computed to reduce the semantic model size and the time to process the semantic model. This allows you to have more dimensions in a semantic model without exploding its size. You can choose to avoid those pre-aggregations, which are less significant for use in queries.

Use the following configuration property to define partial materialization:

kyvos.build.precompute.degree: Indicates the extent to which aggregates are precomputed in a semantic model. The value ranges from 1 to 10, where 1 indicates the lowest materialization that requires aggregate computations at runtime, while 10 indicates the highest materialization. The default value is 10.