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With this release, Kyvos has transitioned from using Hadoop clusters to employing Kyvos Analytical Store for semantic model processing. This advancement will eliminate the requirement for Hadoop clusters for enhancement has removed the dependency on Spark jobs for semantic model processing and building aggregates without Spark jobs. There are several challenges when building aggregates using Hadoop clusters:
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Complexity: Managing various vendor implementations is difficult.
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Cost: Semantic model processing is expensive, and costs are borne by the cloud vendor.
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With the Kyvos Modern Architecture, users can process the semantic model using one of the following compute engines, which helps mitigate challenges:
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