Dec 1, 2023 |
New FeaturesSyniti Knowledge PlatformThe new Syniti Knowledge Platform security model is now available for new customers. This feature allows you to add users, user groups and roles to manage user permissions across the platform, all from the SKP Admin module. Refer to Manage User Security for more information. EnhancementsConstructConstruct now integrates with the SKP security changes, allowing access via system-provided SKP Security user groups and roles (Administrator, Business Administrator, Viewer or Author) and Custom SKP Security user groups and roles, if designated. MatchSyniti Match Desktop
Parse & Standardise
ProfilerProfiler now supports Python version 3.10 on the 9.2 RHEL and Oracle Linux environments. For more information, refer to Syniti Knowledge Platform Connector Requirements and Installation. ReplicateGeneral/Common Updates
Replication AgentSyniti Replicate now overwrites the target file to ensure it contains no data if a changeset is empty and an output file already exists for a mirroring replication cycle. This update applies to a mirroring replication cycle configured to use flat target files, such as CSV or Parquet files with an output file that uses the stable file name format. ScannersScanner versions have been updated to accommodate an update to the installation script as detailed in the SKP Connector section of this page. SKP ConnectorWe have simplified the installation process by removing the installation of 3rd party dependent software. For more information, refer to Syniti Knowledge Platform Connector Requirements and Installation. Bug FixesMatchSyniti Match DesktopFixed an issue where address fields containing embedded new line characters (\n) resulted in an error during the workflow run. ReplicateReplicate AgentFixed an issue where Refresh Partitions would not complete when using different tables through SAP RFC Extraction or Oracle as a source to SQL Server 2022 and Oracle as target. Data AccessFixed an issue where the ASCII control characters were not allowed or processed while uploading a CSV file to Google BigQuery. |