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  • PowerExchange Adapters for Informatica 10.5.3
  • All Products

Table of Contents

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  1. Abstract
  2. PowerExchange for Amazon Redshift
  3. PowerExchange for Amazon S3
  4. PowerExchange for Cassandra
  5. PowerExchange for Google Analytics
  6. PowerExchange for Google BigQuery
  7. PowerExchange for Google Cloud Spanner
  8. PowerExchange for Google Cloud Storage
  9. PowerExchange for Greenplum
  10. PowerExchange for HBase
  11. PowerExchange for HDFS
  12. PowerExchange for Hive
  13. PowerExchange for JDBC V2
  14. PowerExchange for JD Edwards EnterpriseOne
  15. PowerExchange for Kudu
  16. PowerExchange for LDAP
  17. PowerExchange for Microsoft Azure Blob Storage
  18. PowerExchange for Microsoft Azure Cosmos DB SQL API
  19. PowerExchange for Microsoft Azure Data Lake Storage Gen1
  20. PowerExchange for Microsoft Azure Data Lake Storage Gen2
  21. PowerExchange for Microsoft Azure SQL Data Warehouse
  22. PowerExchange for Microsoft Dynamics CRM
  23. PowerExchange for MongoDB
  24. PowerExchange for Netezza
  25. PowerExchange for OData
  26. PowerExchange for Salesforce
  27. PowerExchange for SAP NetWeaver
  28. PowerExchange for Snowflake
  29. PowerExchange for Tableau
  30. PowerExchange for Tableau V3
  31. PowerExchange for Teradata Parallel Transporter API
  32. Informatica Global Customer Support

PowerExchange Adapters for Informatica Release Notes

PowerExchange Adapters for Informatica Release Notes

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PowerExchange for Teradata Parallel Transporter API (10.5)

PowerExchange for Teradata Parallel Transporter API (10.5)

Fixed Issues

The following table describes fixed issues:
Bug
Description
OCON-26031
When you configure Sqoop and run a Teradata Parallel Transporter mapping on the Spark engine, data difference is observed in the time data types between the Teradata source and the target. This issue occurs when you use the Amazon EMR 5.29 distribution.

Known Issues

The following table describes known issues:
Bug
Description
OCON-1197
When you apply a filter condition on multiple ports either in the filter transformation or in the filter properties of the Teradata source object, the mapping fails on the Blaze engine.
OCON-658
When you read data from two or more Teradata sources, the override specified for the source schema and source table name at run time fails.
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