Table of Contents

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  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Macro Transformation
  30. Match Transformation
  31. Match Transformations in Field Analysis
  32. Match Transformations in Identity Analysis
  33. Normalizer Transformation
  34. Merge Transformation
  35. Parser Transformation
  36. Python Transformation
  37. Rank Transformation
  38. Read Transformation
  39. Relational to Hierarchical Transformation
  40. REST Web Service Consumer Transformation
  41. Router Transformation
  42. Sequence Generator Transformation
  43. Sorter Transformation
  44. SQL Transformation
  45. Standardizer Transformation
  46. Union Transformation
  47. Update Strategy Transformation
  48. Web Service Consumer Transformation
  49. Parsing Web Service SOAP Messages
  50. Generating Web Service SOAP Messages
  51. Weighted Average Transformation
  52. Window Transformation
  53. Write Transformation
  54. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Data Object Properties

Data Object Properties

On the Data Object tab, you can specify or change the Write transformation target, and make relational and customized data object targets dynamic.
You can configure the following properties:
Specify By
To specify target columns and metadata for the Write transformation, select one of the following options:
  • Value. The Write transformation uses the associated data object to specify target columns and metadata.
  • Parameter. The Write transformation uses a parameter to specify target columns and metadata.
Default is the Value option.
Data Object
If you created the Write transformation from an existing data object, the field displays the name of the object. Click
Browse
to change the data object to associate with the Write transformation.
Parameter
Choose or create a parameter to associate with the Write transformation.
At run time, get data object columns from the data source
When you enable this option, the Data Integration Service fetches metadata and data definition changes from target tables to the Write transformation.
To preview how the Data Integration Service fetches metadata and data definition changes, view the mapping with resolved parameters.

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