Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Connections
  4. Mappings in the Hadoop Environment
  5. Mapping Objects in the Hadoop Environment
  6. Monitoring Mappings in the Hadoop Environment
  7. Mappings in the Native Environment
  8. Profiles
  9. Native Environment Optimization
  10. Data Type Reference
  11. Function Reference
  12. Parameter Reference
  13. Multiple Blaze Instances on a Cluster

Function and Data Type Processing

Function and Data Type Processing

When you run a mapping in a Hadoop environment, the Hadoop engine might process Informatica functions and data types differently from the Data Integration Service. Also, each of the run-time engines in the Hadoop environment can process Informatica functions and data types differently. Therefore, some variations apply in the processing and validity of functions and data types, and mapping results can vary.


Updated July 03, 2018