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

Consolidation Transformation Strategies View

Consolidation Transformation Strategies View

The
Strategies
view contains properties for simple, row-based, and advanced strategies.
The following list describes the types of consolidation strategies:
Simple Strategy
A simple strategy analyzes all the values of a port in a record group and selects one value. You specify a simple strategy for each port. The Consolidation transformation uses the port values selected by all simple strategies to create a consolidated record. Examples of simple strategies include the most frequent value in a port, the longest value in a port, or the most frequent non-blank value in a port.
Row-Based Strategy
A row-based strategy analyzes rows in the record group and selects one row. The Consolidation transformation uses the port values from that row to create a consolidated record. Examples of row-based strategies include the highest character count, the lowest number of blank fields, or the highest count of the most frequent fields.
Advanced Strategy
An advanced strategy analyzes a record group using strategies that you define. You build advanced strategies by using consolidation functions in an expression. The Consolidation transformation creates a consolidated record based on the output of the expression. The expression that you create can also use all of the functions available in the Decision transformation.

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