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  1. Preface
  2. Part 1: Version 10.4.1
  3. Part 2: Version 10.4.0
  4. Part 3: Version 10.2.2
  5. Part 4: Version 10.2.1
  6. Part 5: Version 10.2
  7. Part 6: Version 10.1.1
  8. Part 7: Version 10.1

PowerExchange for Microsoft Azure Data Lake Storage Gen1

PowerExchange for Microsoft Azure Data Lake Storage Gen1

Effective in version 10.4.0, when you run a passthrough mapping on the Databricks Spark engine, only the connected fields are written to the flat file target. Previously, the Data Integration Service wrote unconnected field names with empty values to the flat file target.
For more information, see the
Informatica 10.4.0 PowerExchange for Microsoft Azure Data Lake Storage Gen1 User Guide
.


Updated November 24, 2020