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  1. Preface
  2. Introduction to Intelligent Streaming
  3. Intelligent Streaming Configuration
  4. Connections
  5. Sources and Targets in a Streaming Mapping
  6. Intelligent Streaming Mappings
  7. Window Transformation
  8. Data Type Reference

Sources and Targets in a Streaming Mapping Overview

Sources and Targets in a Streaming Mapping Overview

You can access log file data, sensor data, Supervisory Control And Data Acquisition (SCADA) data, message bus data, Programmable logic controller (PLC) data on the Spark engine in the Hadoop environment.
You can create physical data objects to access the different types of data. Based on the type of source you are reading from or target that you are writing to, you can create the following data objects:
AmazonKinesis
A physical data object that represents data in a Amazon Kinesis Stream or Amazon Kinesis Firehose Delivery Stream.
Complex file
A representation of a file in the Hadoop file system. Create a complex file data object to write data to an HDFS sequence file or binary file.
For more information about complex file data objects, see the
Informatica PowerExchange for HDFS User Guide
.
HBase
A physical data object that represents data in an HBase resource. Create an HBase data object to connect to an HBase data target.
JMS
A physical data object that accesses a JMS server. You can create a JMS data object to read from or write to a JMS server.
Kafka
A physical data object that accesses a Kafka broker. You can create a Kafka data object to read from or write to a Kafka broker.
MapRStreams
A MapRStreams data object is a physical data object that represents data in a MapR Stream.
Relational
A physical data object that you can use to access a relational table. You can create a relational object to connect to a Hive data target.
For more information about relational data objects, see the
Informatica Developer Tool Guide
.