Table of Contents


  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. Appendix A: Connections
  17. Appendix B: Data Type Reference
  18. Appendix C: Function Reference

Targets on Databricks

Targets on Databricks

A mapping that runs in the Databricks environment can include file and database targets.
The following table lists the storage types and targets:
Storage Type
  • Microsoft Azure Blob Storage
  • Microsoft Azure Data Lake Store
  • Microsoft Azure Cosmos DB
  • Microsoft Azure SQL Data Warehouse


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