Table of Contents


  1. Preface
  2. Introduction to Data Engineering Streaming
  3. Data Engineering Streaming Administration
  4. Sources in a Streaming Mapping
  5. Targets in a Streaming Mapping
  6. Streaming Mappings
  7. Transformation in Streaming Mappings
  8. Window Transformation
  9. Appendix A: Connections
  10. Appendix B: Monitoring REST API Reference
  11. Appendix C: Sample Files

Schema Properties

Schema Properties

You can view the schema properties in the
Data Object Operation
view of the write operation in the Developer tool.
To specify schema properties, select the data operation and enable the column projection.
The following table describes the schema properties that you configure for Microsoft Azure Data Lake Storage Gen2 targets:
Column Name
The name field that contains data.
This property is read-only.
The native data type of the source.
This property is read-only.
Enable Column Projection
Indicates that you use a schema format.
Schema Format
The format in which the data is written. Microsoft Azure Data Lake Storage Gen2 supports JSON, Avro, and Parquet format in streaming mappings.
Specify a sample file for JSON format, a .avsc file for Avro format, or a Parquet format.
Column Mapping
The mapping of target data to the data object. Click
to see the mapping.


We’d like to hear from you!