Table of Contents

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  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

Repositories

Repositories

Data Engineering Integration uses repositories and other databases to store data related to connections, source metadata, data domains, data profiling, data masking, and data lineage. Data Engineering Integration uses application services in the Informatica domain to access data in repositories.
Data Engineering Integration uses the following databases:
Model repository
The Model repository stores profiles, data domains, mapping, and workflows that you manage in the Developer tool. The Model repository also stores profiles, data domains, and mapping specifications that you manage in the Analyst tool.
Profiling warehouse
The Data Integration Service runs profiles and stores profile results in the profiling warehouse.


Updated September 28, 2020