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  • Informatica Data Quality 10.4.0
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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. Match Transformation
  30. Match Transformations in Field Analysis
  31. Match Transformations in Identity Analysis
  32. Normalizer Transformation
  33. Merge Transformation
  34. Parser Transformation
  35. Python Transformation
  36. Rank Transformation
  37. Read Transformation
  38. Relational to Hierarchical Transformation
  39. REST Web Service Consumer Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. SQL Transformation
  44. Standardizer Transformation
  45. Union Transformation
  46. Update Strategy Transformation
  47. Web Service Consumer Transformation
  48. Parsing Web Service SOAP Messages
  49. Generating Web Service SOAP Messages
  50. Weighted Average Transformation
  51. Window Transformation
  52. Write Transformation
  53. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

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Consolidation Mappings

Consolidation Mappings

To consolidate records, create a mapping that creates groups of related records. Add a Consolidation transformation to a mapping, and configure the transformation to consolidate each record group into a single master record.
Connect a Consolidation transformation to other transformations according to the business objectives and the data requirements. To consolidate matched records, you can connect the Consolidation transformation to a Match transformation. To consolidate records as part of exception record management, connect the Consolidation transformation to an Exception transformation. If you use a Key Generator transformation to group records, you can connect a Consolidation transformation directly to the Key Generator transformation. The Consolidation transformation creates a consolidated record for each group that the Key Generator transformation creates.

Mapping Output in Native and Hadoop Environments

When you run a consolidation mapping in a native environment and in a Hadoop environment, the Consolidation transformation can generate different results. Because the mapping runs on multiple nodes in Hadoop, the input records can enter the Consolidation transformation in a different order than in the native environment. As a result, the transformation can generate different sets of survivor records in each environment for the same input data set. The transformation calculations and the consolidated results are accurate for the input row order in each case.
To generate the same survivor records in native and Hadoop environments, configure the Consolidation transformation to sort the records in the following order:
  • First, sort the records on the Group By port.
  • Then, sort the records in the order in which the input ports appear in the transformation.
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