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

Mapping Recommendations and Analysis

Mapping Recommendations and Analysis

You can tune and correct mappings as you develop them based on recommendations and analysis generated by the Informatica CLAIRE engine. The recommendations and insights help you optimize mappings and projects to reduce development costs and improve application performance.
CLAIRE uses artificial intelligence and internal algorithms to analyze mappings individually or in groups. The Developer tool displays the results of its analysis of a single mapping as recommendations, and analysis of a group of mappings as insights. By reading and following these tips, you can recognize potential problems and opportunities for improvement.
When you enable recommendations, as you develop a mapping, CLAIRE analyzes your work and raises recommendations for improving the mapping. For example, a recommendation might point out a type mismatch in the mapping flow, or suggest a run-time engine that might improve mapping performance.
You can also run an analysis on a group of mappings, such as all the mappings in a project. The resulting insights identify similarities among a group of mappings so you can find and remove redundancies.


Updated September 28, 2020