Connect to large streams of real-time event and customer data to make your strategies and models more accurate.
To process decision management data in real-time, create Stream, Kafka, and Kinesis data sets.
- Creating a Stream data set
Process a continuous data stream of events (records) by creating a Stream data set.
- Creating a Kafka data set
You can create a Kafka data set in Pega Platform, and then associate it with a topic in a Kafka cluster. You can select an existing topic in the Kafka cluster or define a new topic when creating the data set.
- Creating a Kinesis data set
You can create an instance of a Kinesis data set in Pega Platform to connect to an instance of Amazon Kinesis Data Streams. Amazon Kinesis Data Streams ingests a large amount of data in real time, durably stores it, and makes it available for lightweight processing. For Pega Cloud applications, you can use a Pega-provided Kinesis data stream or connect to your own Kinesis data stream.