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.
Support for predictive models in PMML version 4.4
Valid from Pega Version 8.5
Pega Platform™ now supports the import of predictive models in Predictive Model Markup Language (PMML) version 4.4. With this feature, you can import PMML models that use the anomaly detection algorithm.
For a list of all supported PMML models, see Supported models for import.
Support for Apache HBase 2.1 and Hadoop 3.0
Valid from Pega Version 8.5
Support for these versions extends Pega Platform™ compatibility with HBase releases to ensure that your database implementations integrate seamlessly with Pega Platform.
Pega Platform now supports:
- Apache HBase 2.1 for the HBase data set
- Apache Hadoop Distributed File System (HDFS) 3.0 for the HDFS data set
For more information, see Enhance your data sets with Apache HBase 2.1 and Hadoop 3.0 (8.5).
Enhancing your revision management process with Deployment Manager pipelines
Valid from Pega Version 8.5
Pega Platform 8.5 offers improved synergy between revision management and the automated deployment process provided by Pega's Deployment Manager 4.8 pipelines. Use Deployment Manager 4.8 to increase the efficiency of business-as-usual application changes and automatize the deployment of revision packages.
For more information, see Managing the business-as-usual changes.
Support for Cloud AutoML topic detection models
Valid from Pega Version 8.5
In Prediction Studio, you can now connect to topic detection models that you create in Cloud AutoML, Google's cloud-based machine learning service. You can then use the models to categorize and route messages from your customers.
For more information, see Broaden your selection of topic detection models by connecting to third-party services (8.5).