Here is the Here’s a list of features and updates included in Kyvos versions for the Kyvos 2024.11.x release.
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releases:
Features and Enhancements for 2024.11.2
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Kyvos 2024.11.2 release brings the following new features, enhancements, and bug fixes.
Configure Kubernetes node pool as dedicated or shared for Azure: Kyvos now supports configuring Kubernetes node pools as either dedicated or shared, determining the capabilities available on that node pool for Azure.
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Features and Enhancements for 2024.11
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Kyvos 2024.11 release brings the following new features, enhancements, and bug fixes.
Conversational Analytics Using Gen AI-Powered Kyvos Copilot Enhancements
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JRE Version Modification: For no-Spark-based clusters, you can now switch between JRE versions 8 and 17 (JRE 8 or JRE 17). However, switching the JRE is not applicable for Spark-based deployments, and only JRE version 8 is used.
Conditional Column Masking (Beta): Prior to this release (Kyvos 2024.10), Kyvos supported conditional masking on dimensions. With this release, Kyvos has added support for conditional masking on measures.
Automated Concurrent Processing Task Count for Compute Engines: Kyvos now support automatic calculation of concurrent processing task count for compute engines to optimize Kyvos Analytical Store memory usage. The Auto mode is set by default. Additionally, users can also set this configuration manually by setting the Manual mode. This applies to automatic and wizard-based deployments.
Support of changing default compute cluster type for on-premises deployments.
Support for ROLAP queries on Postgres data source.
Users can now view calculated members created in Kyvos when connected through the SQL interface in BI tools such as Tableau, Power BI, or MicroStrategy.
NOTE: To enable calculated members via the SQL interface, set the value of the advanced semantic model property kyvos.query.sql.calculatedMember.enabled to true.Enhancements in the semantic model now enable SQL users to interact with it in a tabular format. Users can use any column as a dimension or measure, regardless of its definition in the semantic model design. This feature requires enabling Raw Data Querying on the semantic model.
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