Table of Contents


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



Follow the instructions in the Informatica
Data Engineering Integration User Guide
to learn to create Informatica mappings that run in a native, Hadoop, or Databricks environment. Learn about transformation processing behavior in a non-native environment. Learn to configure mappings to run using the Spark engine or the proprietary Blaze engine. Learn to create workflows that deploy several mappings to a cluster.


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