Kinesis Data Streams is a real-time data stream processing option that Amazon Kinesis offers within the AWS ecosystem. It is a customizable option for users who want to build custom applications to process and analyze streaming data. You must manually provision enough capacity to meet system needs.

When you configure the Amazon Kinesis data object, specify the name of the Amazon Kinesis Data Stream that you read from. After you create the data object, create a read operation to read data from an Amazon Kinesis Data Stream. 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 data object reads data. When you read from Amazon Kinesis Data Stream sources, you can read data in JSON, XML, Avro, Flat, or binary 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

.