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

Column Projection Properties

Column Projection Properties

The Developer tool displays the column projection properties in the
view of the write operation.
To specify column projection properties, double click on the write operation and select the data object. The following table describes the columns projection properties that you configure for Azure Data Lake Store targets:
Column Name
The field in the target that the data object writes to.
This property is read-only.
The native data type of the target.
This property is read-only.
Enable Column Projection
Indicates that you use a schema to publish the data to the target.
By default, the data is streamed in binary format. To change the streaming format, select this option and specify the schema format.
Schema Format
The format in which you stream data to the target. You can select one of the following formats:
  • XML
  • JSON
  • Avro
Specify the XSD schema for the XML format, asample file for JSON, or .avsc file for Avro format.
Column Mapping
The mapping of data object to the target. Click
to see the mapping.
Project as Hierarchical Type
Project columns as complex data type for hierarchical data.
For more information, see the
Data Engineering Integration User Guide


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