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Table of Contents

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  1. Preface
  2. Release Notes for October 2025
  3. Administrator
  4. API Center
  5. API Manager
  6. API Portal
  7. Application Integration
  8. B2B Gateway
  9. B2B Partners Portal
  10. Business 360 Console
  11. CLAIRE GPT
  12. Cloud Data Integration for PowerCenter (CDI-PC)
  13. Data Governance and Catalog
  14. Data Ingestion and Replication
  15. Data Integration
  16. Data Marketplace
  17. Data Profiling
  18. Data Quality
  19. Data Validation
  20. Human Tasks
  21. Integration Hub
  22. MDM - Customer 360 SaaS
  23. MDM - Product 360 SaaS
  24. MDM - Reference 360
  25. MDM - Supplier 360 SaaS
  26. Metadata Command Center
  27. Monitor
  28. Multidomain MDM SaaS
  29. Operational Insights

Release Notes

Release Notes

Amazon Redshift V2 Connector

Amazon Redshift V2 Connector

Fixed issues

The tables in this section describe recent fixed issues for Amazon Redshift V2 connector in
Metadata Command Center
. Not all monthly releases include fixed issues.
July 2025 fixed issues
Issue
Description
CDGC-79527
Data profiling tasks on databases fail with the following error:
Workflow generation failed for object: java.lang.ClassCastException
July 2024 fixed issues
Issue
Description
CDGC-64711
When you run a Data Profiling or Data Quality job that includes tables or views on an Amazon Redshift catalog source, the job fails due to a truncation issue.
May 2024 fixed issues
Issue
Description
CDGC-63146
Data profiling tasks on Amazon Redshift views fail with the following error:
[FATAL] Unload/Copy command failed with error: [Amazon](500310) Invalid operation: syntax error at or near "queryid"
This issue occurs if a table includes a column name with double quotes (").
April 2024 fixed issues
Issue
Description
CDGC-55383
Data profiling tasks on Amazon Redshift views fail with the following error if you included the WITH NO SCHEMA BINDING clause:
Workflow generation failed for object: transaction_type with error: Invalid datatype: character varying(255)
CDGC-61501
When you run data profiling tasks on an Amazon Redshift catalog source that contains a table with columns of the Super data type, the profiling task skips the entire table.

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