1. RELEASE INFO
|
Product |
AGILE DATA ENGINE |
|
Release |
25.0.627.patch1 |
|
Release date |
6th of February 2025 |
|
Release status |
RELEASED |
|
Release type |
MAJOR.MINOR.UPDATE.PATCH |
|
SaaS Availability |
AVAILABLE | RESTRICTED (by request) |
|
AWS Availability |
AVAILABLE | RESTRICTED (by request) |
|
Azure Availability |
AVAILABLE | RESTRICTED (by request) |
|
Patch release scope |
Not applicable | Design | Runtime | SaaS |
2. CONTENT OF THE RELEASE
2.1 Highlights
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Overall orchestration improvement with new Load Step support as API_CALL Load Step Language!
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Generic implementation that is at first integrated to Google Cloud REST API calls
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Enables, as part of Load / Workflow orchestration, invocations of your data integration, scale-out ML/AI workloads, and publish layer refreshes and routines!
-
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Workload Identity Federation (WIF) support in Google BigQuery
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Improved private connectivity features in VPN cases
2.2 Improvements and fixes
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Cloud infrastructure version updates
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External API to return detailed deployment errors
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Fixed: In a certain scenario package dependencies didn’t work in Designer
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When using Config Validations only Error level messages were shown, if multiple of issues were detected, now all Info/Warning/Error messages are shown
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Improvements on entity focus when opening Data lineage in certain cases
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Fixed: Search in Designer returns duplicate loads due multiple matching entity mappings
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Workflow precondition info added to the Search results Designer
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Improved: Database tags are added to the target attribute when Map and Add used in Attribute mapping
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Workflow visualization improved in very large scenarios
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Fixed: Deployment failure due “Failure in installation: Unable to rollback against JDBC Connection”
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Fixed: Workflow preconditions not checked in Load schedule delete