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  • Informatica Data Quality 10.5
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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. 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

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Bad Record Exception Mapplet

Bad Record Exception Mapplet

Create a mapplet that contains data quality transformations to check the values of certain fields. The transformations check reference tables and content sets to determine if the fields in the records are valid. The transformations apply a record score to each record based on the results. The Exception transformation receives the records from the mapplet and routes each record to the appropriate output based on the record score.
The mapplet consists of Labeler transformations, Decision transformations, and Expression transformations.
The following figure shows the objects in the mapplet:
The mapplet shows a CustomerInput icon that is connected to the following icons: a Labeler transformation icon, a mapplet icon called Rule_IsNumeric, and a mapplet icon called Rule_Email_Validation. The Labeler transformation icon and the mapplet icons are connected to the same Decision transformation icon. The Decision transformation icon is connected to an icon called CustomerOutput.
The mapplet performs the following tasks:
  • A Labeler transformation verifies the locality, the state, the country code, the zip code, and the postal code data that it receives in the input ports. The transformation contains a strategy for each port. The strategies compares the source data to reference tables and identifies values that are not valid.
  • An Expression transformation mapplet verifies that the phone number is numeric and verifies that the number contains 10 digits.
  • A Labeler transformation and an Expression transformation mapplet verifies that the email address is valid. The Expression transformation verifies the structure of the email string. The Labeler transformation checks the IP address against a reference table of international IP address suffixes.
  • A Decision transformation receives the output from the transformation and the mapplets. It calculates an overall record score for the customer contact record.
Create a bad record exception mapping that includes the mapplet. The bad record exception mapping includes an Exception transformation that writes the exceptions to a bad records database table. A data analyst researches and updates exception records in the bad record table with the Analyst tool.
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