Table of Contents

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  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

Complex File Sources on ADLS

Complex File Sources on ADLS

Use a PowerExchange for Microsoft Azure Data Lake Store connection to read data from 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 read operation for hierarchical files must be enabled to project columns as complex data type.


Updated September 28, 2020