Table of Contents


  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings
  4. Sources
  5. Targets
  6. Transformations
  7. Data Preview
  8. Cluster Workflows
  9. Profiles
  10. Monitoring
  11. Hierarchical Data Processing
  12. Hierarchical Data Processing Configuration
  13. Hierarchical Data Processing with Schema Changes
  14. Intelligent Structure Models
  15. Stateful Computing
  16. Appendix A: Connections
  17. Appendix B: Data Type Reference
  18. Appendix C: Function Reference

Using an Intelligent Structure Model in a Mapping

Using an
Intelligent Structure Model
in a Mapping

To use an
Intelligent structure model
in a mapping, you associate it with a data object. The data object can then be used to process files that are similar to the one used to create the model.
You can add a Read transformation based on the data object to a mapping. If you want to process the data any further, such as checking data quality, or structuring the data into relational format, you add relevant downstream transformations to the mapping.
When the mapping runs, the Read transformation reads one or more input files and parses the data into fields, arrays, and structs.
Depending on the model and input, the data object output might contain primitive data types, complex data types, or nested data types. For more information about working with these data types in transformations, see Complex Data Types.


We’d like to hear from you!