Convert data instances into decision parameter rules
Valid from Pega Version 7.1.8
The Convert groups wizard is available in the Hierarchy landing page when the list of your propositions include decision data records.
Click Convert groups at the top of the landing page to use the wizard and to convert data instances into decision parameter rules. This conversion is necessary to make the existing proposition data instances available for revision management.
Update to the Data Flows rule
Valid from Pega Version 7.1.8
It is now possible to collect statistics for each active data flow. These include the number of processed records, records that caused errors and last processed records per shape, as well as historical throughput measured for the entire data flow.
There are two new patterns in the Data Flow rule:
- Event Strategy - define this pattern to use an event strategy in a data flow and to connect a data stream and static data sources to an event strategy.
- Filter - specify filter conditions and apply them to each element of the input flow
Apart from this, the Merge pattern was updated to execute the flow when there is no data on the secondary branches and the Strategy pattern allows you to specify the class where you want to store your strategy results.
New Dynamic System Setting for proposition management
Valid from Pega Version 7.1.8
A new Dynamic System Setting affects the process of creating new groups on the Proposition Management landing page.
When the PropositionManagement/isOnlyVersionedProposition parameter is set to true, users can only create the versioned propositions.
When the PropositionManagement/isOnlyVersionedProposition parameter is set to false, the Create Group dialog allows users to create either the versioned or unversioned propositions (the Create versioned proposition data check box and the Decision data rule section are both displayed).
New form of the HBase rule
Valid from Pega Version 7.1.8
There is a new form of the HBase rule. While you cannot create any new instances of the Pega 7.1.7 HBase rule, legacy instances in your application remain functional. You can still use the Pega 7.1.7 instances of the HBase rule, but you cannot make changes to them.
New data sets
Valid from Pega Version 7.1.8
There are three new types of data sets:
- HDFS Data Set, which reads and saves data from external, distributed Apache Hadoop file systems.
- HBase Data Set, which supports HBase storage.
- Stream Data Set, which processes the continuous data stream of events.
Real-time processing of data flows
Valid from Pega Version 7.1.8
It is possible to run, manage, and monitor data flows that use stream as their data source. You can create a new run from the Real-time processing landing page.
Predictive models monitoring
Valid from Pega Version 8.2
In Prediction Studio, you can now monitor the predictive performance of your models to validate that they make accurate predictions. Based on that information, you can re-create or adjust the models to provide better business results, such as higher accept rates or decreased customer churn.
For more information, see Monitoring predictive models.
Kafka custom serializer
Valid from Pega Version 8.2
In Kafka data sets, you can now create and receive messages in your custom formats, as well as in the default JSON format. To use custom logic and formats for serializing and deserializing ClipboardPage objects, create and implement a Java class. When you create a Kafka data set, you can choose to apply JSON or your custom format that uses a PegaSerde implementation.
For more information, see Creating a Kafka data set and Kafka custom serializer/deserialized implementation.
Additional configuration options for File data sets
Valid from Pega Version 8.2
You can now create File data sets for more advanced scenarios by adding custom Java classes for data encryption and decryption, and by defining a file set in a manifest file.
Additionally, you can improve data management by viewing detailed information in the dedicated meta file for every file that is saved, or by automatically extending the filenames with the creation date and time.
For more information, see Creating a File data set for files on repositories and Requirements for custom stream processing in File data sets.
Simplified testing of event strategies
Valid from Pega Version 8.2
Evaluate event strategies by creating test runs. During each run, you can enter a number of sample events with simulated property values, such as the event time, the event key, and so on. By testing a strategy against sample data, you can understand the strategy configuration better and troubleshoot potential issues.
For more information, see Evaluate event strategies through test runs.