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  1. Preface
  2. Part 1: Version 10.5.5
  3. Part 2: Version 10.5.4 - 10.5.4.x
  4. Part 3: Version 10.5.3 - 10.5.3.x
  5. Part 4: Version 10.5.2 - 10.5.2.1.x
  6. Part 5: Version 10.5.1 - 10.5.1.1
  7. Part 6: Versions 10.5 - 10.5.0.1
  8. Part 7: Versions 10.4.1 - 10.4.1.3
  9. Part 8: Versions 10.4 - 10.4.0.2
  10. Part 9: Versions 10.2.2 - 10.2.2 HotFix 1
  11. Part 10: Version 10.2.1
  12. Part 11: Version 10.2 - 10.2 HotFix 2

What's New and Changed (10.5.5)

What's New and Changed (10.5.5)

AWS Databricks Integration

AWS Databricks Integration

Effective in version 10.4.0, you can integrate the Informatica domain with Databricks on AWS.
You can use AWS Databricks to run mappings with the following functionality:
  • You can run mappings against Amazon Simple Storage Service (S3) and Amazon Redshift sources and targets within the Databricks environment.
  • You can develop cluster workflows to create ephemeral clusters using Databricks on AWS.
  • You can add the Python transformation to a mapping configured to run on the Databricks Spark engine.
    The Python transformation is supported for technical preview only.
AWS Databricks supports the same data types as Azure Databricks.
For more information, refer to the following guides:

    Data Engineering 10.4.0 Integration Guide

    Data Engineering 10.4.0 Administrator Guide

    Data Engineering Integration10.4.0 User Guide

    Informatica 10.4.0 Developer Workflow Guide


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