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

Release Notes

Release Notes

Google BigQuery V2

Google BigQuery V2

Fixed issues

The following table describes fixed issues:
Issue
Description
DBMI-19320
Database ingestion and replication combined initial and incremental load jobs that have a source without a primary key and a Google BigQuery target replicate empty values as nulls when processing Updates, which can cause duplicate values on the target. The Updates are treated as Inserts, so the old data is not deleted before the new data is inserted.
(August 2024)
DBMI-18629
In a
database ingestion and replication
task that has an Oracle source and Google BigQuery target, if you add a custom data type mapping that maps the Oracle DATE type to the Google BigQuery TIMESTAMP type, the custom mapping is ignored when you run the job. Instead, the default mapping of Oracle DATE to Google BigQuery DATETIME is used.
(July 2024)

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