LinkedIn
Copied!

Table of Contents

Run-time data

Version:

Only available versions of this content are shown in the dropdown

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.

Did you find this content helpful?

Have a question? Get answers now.

Visit the Collaboration Center to ask questions, engage in discussions, share ideas, and help others.