Table of Contents

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  1. Preface
  2. Introduction to Big Data Streaming
  3. Big Data Streaming Configuration
  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: Data Type Reference
  10. Appendix C: Sample Files

Big Data Streaming User Guide

Big Data Streaming User Guide

Azure EventHub Data Objects

Azure EventHub Data Objects

An Azure EventHub 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 Eventhub connection, create an Azure Eventhub data object to read from event data from Azure Event Hubs.
Azure Event Hubs is a highly scalable data streaming platform and event ingestion service, that receives and processes events. Event Hubs can process and store events or data produced by distributed software and devices.
When you configure the Azure EventHub 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 EventHub 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 deploy a streaming mapping that has an Event Hub as a source only on a Cloudera CDH distribution.
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
Informatica Big Data Management User Guide
.