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Kyvos Modern Architecture with No-Spark Ingestion (Beta)
Kyvos implements With this release, Kyvos has transitioned from using Hadoop clusters to employing Kyvos native warehouse technologies for semantic model processing. This advancement will eliminate the requirement for Hadoop clusters for semantic model processing and building aggregates with Spark jobs. Each cloud provider offers its own Hadoop implementation (e.g., AWS, Azure, and GCP), leading to several challengesThere are several challenges with building aggregates using Hadoop clusters:
Complexity: Managing different various vendor implementations is difficult.
Cost: Semantic model processing is expensive, and costs are borne by the cloud vendor.
Time: Analysis with Kyvos takes longer due to dependency Relying on Hadoop cluster resources .
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extends the analysis time with Kyvos
By implementing Kyvos native warehouse technologies for semantic model processing, these challenges can be mitigated.
The Kyvos Modern Architecture supports the following features with no Spark:
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