Table of Contents

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  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. Window Transformation
  8. Appendix A: Connections
  9. Appendix B: Monitoring REST API Reference
  10. Appendix C: Sample Files

Azure Event Hubs Data Objects

Azure Event Hubs Data Objects

An Azure Event Hubs data object is a physical data object that represents an event hub object in Microsoft Azure Event Hubs data streaming platform and event ingestion service. After you create an Azure Event hubs connection, create an Azure Event hubs data object to read from event data from event hub event.
Azure Event Hubs is a highly scalable data streaming platform and event ingestion service, that receives and processes events. Azure Event Hubs can process and store events or data produced by distributed software and devices.
When you configure the Azure Event Hubs data object, specify the name of the event hub that you read from. After you create the data object, create a read operation to read event data from an event hub. You can then add the data object read operation as a source in streaming mappings.
When you configure the data operation properties, specify the format in which the Azure Event Hubs data object reads data. You can specify XML, JSON, Avro, or flat as format. When you specify XML format, you must provide a .xsd file. When you specify Avro format, provide a sample Avro schema in a .avsc file. When you specify JSON or flat format, you must provide a sample file.
You can associate the data object with an intelligent structure model and directly parse input from CSV, XML, Avro, or JSON input files.
You can pass any payload format directly from source to target in Streaming mappings. You can project columns in binary format pass a payload from source to target in its original form or to pass a payload format that is not supported.
Streaming mappings can read, process, and write hierarchical data. You can use array, struct, and map complex data types to process the hierarchical data. You assign complex data types to ports in a mapping to flow hierarchical data. Ports that flow hierarchical data are called complex ports.
For more information about processing hierarchical data, see the
Data Engineering Integration User Guide
.