Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Aggregator transformation
  6. Cleanse transformation
  7. Data Masking transformation
  8. Deduplicate transformation
  9. Expression transformation
  10. Filter transformation
  11. Hierarchy Builder transformation
  12. Hierarchy Parser transformation
  13. Hierarchy Processor transformation
  14. Input transformation
  15. Java transformation
  16. Java transformation API reference
  17. Joiner transformation
  18. Labeler transformation
  19. Lookup transformation
  20. Machine Learning transformation
  21. Mapplet transformation
  22. Normalizer transformation
  23. Output transformation
  24. Parse transformation
  25. Python transformation
  26. Rank transformation
  27. Router transformation
  28. Rule Specification transformation
  29. Sequence Generator transformation
  30. Sorter transformation
  31. SQL transformation
  32. Structure Parser transformation
  33. Transaction Control transformation
  34. Union transformation
  35. Velocity transformation
  36. Verifier transformation
  37. Web Services transformation

Transformations

Transformations

Source transformation

Source transformation

A Source transformation extracts data from a source. When you add a Source transformation to a mapping, you define the source connection, source objects, and source properties related to the connection type. For some connection types, you can use multiple source objects within a Source transformation.
You can use a Source transformation to read data from the following source types:
  • File. The Source transformation can read data from a single source file or a file list.
  • Database. The Source transformation can read data from a single source table or multiple source tables.
  • Web service. The Source transformation can read data from a single web service operation.
  • Informatica Cloud
    Data Integration
    connectors. The Source transformation can read data from a single source object or multiple source objects based on the connection type.
    For more information about sources for individual connectors, see the
    Connectors
    section of the online help. If you create an
    elastic mapping
    , refer to
    Data Integration Elastic Administration
    in the Administrator help for information about supported connectors.
You can use one or more Source transformations in a mapping. If you use two Source transformations in a mapping, use a Joiner transformation to join the data.
In a Source transformation, the source properties that appear vary based on the connection type. For example, when you select a Salesforce connection, you can use multiple related source objects and configure the Salesforce API advanced source property. In contrast, when you select a flat file connection, you specify the file type and configure the file formatting options.