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

Complex File Targets on ADLS

Complex File Targets on ADLS

Use a PowerExchange for Microsoft Azure Data Lake Store connection to write data to ADLS data objects.
The following table shows the complex files that a mapping can process within ADLS storage in the Databricks environment:
File Type
Format
Avro
  • Flat
  • Hierarchical
JSON
  • Flat
  • Hierarchical
Parquet
  • Flat
  • Hierarchical
The write operation for hierarchical files must be enabled to project columns as complex data type.

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