Table of Contents

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

User Guide

User Guide

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
Target
File
  • Microsoft Azure Blob Storage
  • Microsoft Azure Data Lake Store
Database
  • Microsoft Azure Cosmos DB
  • Microsoft Azure SQL Data Warehouse

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