Table of Contents

Search

  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings
  4. Sources
  5. Targets
  6. Transformations
  7. Data Preview
  8. Cluster Workflows
  9. Profiles
  10. Monitoring
  11. Hierarchical Data Processing
  12. Hierarchical Data Processing Configuration
  13. Hierarchical Data Processing with Schema Changes
  14. Intelligent Structure Models
  15. Stateful Computing
  16. Connections
  17. Data Type Reference
  18. Function Reference

Rules and Guidelines for Mappings in a Non-native Environment

Rules and Guidelines for Mappings in a Non-native Environment

When you run mappings in a non-native environment, some differences in processing and configuration apply. You can run mappings in a non-native environment on the Blaze, Spark, or Databricks Spark engine. Consider the following rules and guidelines when you run mappings in the native and non-native environments.


Updated January 20, 2020