Table of Contents

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  1. Preface
  2. Introduction to Data Transformation
  3. Data Processor Transformation
  4. Wizard Input and Output Formats
  5. Relational Input and Output
  6. Using the IntelliScript Editor
  7. XMap
  8. Libraries
  9. Schema Object
  10. Command Line Interface
  11. Scripts
  12. Parsers
  13. Script Ports
  14. Document Processors
  15. Formats
  16. Data Holders
  17. Anchors
  18. Transformers
  19. Actions
  20. Serializers
  21. Mappers
  22. Locators, Keys, and Indexing
  23. Streamers
  24. Validators, Notifications, and Failure Handling
  25. Validation Rules
  26. Custom Script Components

Data Processor Transformation in a Non-native Environment

Data Processor Transformation in a Non-native Environment

The Data Processor transformation processing in a non-native environment depends on the engine that runs the transformation.
Consider the support for the following non-native run-time engines:
  • Blaze engine. Supported with restrictions.
  • Spark engine. Not supported.
  • Databricks Spark engine. Not supported.


Updated June 14, 2019