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  • Informatica Data Quality 10.4.0
  • All Products

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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Using the Index Data Store in Single-Source Analysis

Using the Index Data Store in Single-Source Analysis

Configure a mapping that reads a data source of identity information. Use a Match transformation to compare the data source to the index data store for the master data set.
Before you configure the mapping, verify that the data source contains a column of sequence identifier values.
To save time, you can copy or reuse the mapping that created the index data store.
  1. Open the mapping that generated the index data store.
    Alternatively, open a copy of the mapping.
  2. Verify the data source in the mapping.
    If required, replace the data source with a source that contains the current data.
    If you delete the data source, you also delete the port connections on the Match transformation.
  3. Identify the data source ports that contain the identity information.
    • Connect the identity information ports to the Match transformation.
    • Connect the port that contains the sequence identifier values to the Match transformation.
      The input ports and the input port order must correspond to the input ports on the transformation that created the index tables.
  4. On the Match transformation, select the
    Match Type
     view.
  5. Set the match type to
    Identity Match with Persistent Record ID
    .
  6. Verify the population, key level, key type, and key field values.
  7. Configure the options to identify the index data store:
    • Set the persistence method. For example, select
      Do not update the database
       to preserve the current data in the index tables.
    • Set the matching process to
      Enable
      .
    • On the DB Connection menu, select the database that contains the index tables.
    • On the Persistent Store menu, browse to the tables that contain the index data.
  8. Configure the following properties on the Match Output view:
    • Match. Identifies the records to analyze when the transformation reads index data from database tables.
    • Output. Filters the records that the transformation writes as output.
  9. Perform any other configuration step that the Match transformation requires.
    For example, configure a transformation strategy.
  10. Verify the data target in the mapping.
    If required, replace the data target with another target object.
  11. Connect the Match transformation output ports to the target data object.
  12. Run the mapping.
The mapping compares the data source records with the index data store. The transformation writes the index data for the data source to the data store.
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