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  1. Abstract
  2. PowerExchange for Amazon Redshift
  3. PowerExchange for Amazon S3
  4. PowerExchange for Cassandra
  5. PowerExchange for DataSift
  6. PowerExchange for Facebook
  7. PowerExchange for Greenplum
  8. PowerExchange for Google BigQuery
  9. PowerExchange for HBase
  10. PowerExchange for HDFS
  11. PowerExchange for Hive
  12. PowerExchange for JD Edwards EnterpriseOne
  13. PowerExchange for LDAP
  14. PowerExchange for LinkedIn
  15. PowerExchange for MapR-DB
  16. PowerExchange for Microsoft Azure Blob Storage
  17. PowerExchange for Microsoft Azure Data Lake Store
  18. PowerExchange for Microsoft Azure SQL Data Warehouse
  19. PowerExchange for Microsoft Dynamics CRM
  20. PowerExchange for MongoDB
  21. PowerExchange for Netezza
  22. PowerExchange for OData
  23. PowerExchange for Salesforce
  24. PowerExchange for SAP NetWeaver
  25. PowerExchange for Tableau
  26. PowerExchange for Tableau V3
  27. PowerExchange for Teradata Parallel Transporter API
  28. PowerExchange for Twitter
  29. PowerExchange for Web Content-Kapow Katalyst
  30. Informatica Global Customer Support

PowerExchange Adapters for Informatica Release Notes

PowerExchange Adapters for Informatica Release Notes

PowerExchange for Microsoft Azure Data Lake Store Known Limitations (10.2)

PowerExchange for Microsoft Azure Data Lake Store Known Limitations (10.2)

The following table describes known limitations:
Bug
Description
OCON-10244
When you read data from or write data to Microsoft Azure Data Lake Store, the entire file gets downloaded in the staging directory even if you cancel the mapping.
OCON-9798
When you run a Microsoft Azure Data Lake Store mapping on the Spark engine and read from or write data of the Binary data type to Microsoft Azure Data Lake Store, the mapping fails.
OCON-9491
The data preview takes longer time for large files.