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. 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

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 January 20, 2020