Table of Contents

Search

  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

Consolidation Transformation on the Databricks Spark Engine

Consolidation Transformation on the Databricks Spark Engine

The Consolidation transformation might process data differently in the native environment and in a non-native environment.
The transformation is supported with the following restrictions:
  • The transformation might process records in a different order in each environment.
  • The transformation might identify a different record as the survivor in each environment.

0 COMMENTS

We’d like to hear from you!