Data Flow service in the Pega 7 Platform
Valid from Pega Version 7.2.1
The Data Flow service configuration on the Services landing page now provides a single point of entry for enabling running data flows in batch and real-time modes. To configure the Data Flow service, you must add Decision data nodes on which to run data flows and specify the number of Pega 7 Platform threads that are assigned to process the data flow runs. Additionally, as part of the Data Flow service, you can view the number of active data flows on each node.
For more information, see Services landing page.
Adaptive Decision Manager service in the Pega 7 Platform
Valid from Pega Version 7.2.1
The Adaptive Decision Management (ADM) service is now native to the Pega 7 Platform and is supported by the Decision data node infrastructure. Because of this enhancement, you no longer need to manage the ADM service as an external service. In addition, the ADM service does not require dedicated hardware or operating system environments.
For more information, see Services landing page.
Reconfiguration of the Adaptive Decision Manager service after upgrade to Pega 7.2.1
Valid from Pega Version 7.2.1
After you upgrade the Pega 7 Platform to version 7.2.1, you need to reconfigure the Adaptive Decision Manager service. Beginning with Pega 7.2.1, the Adaptive Decision Management (ADM) service is native to the Pega 7 Platform and is supported by the Decision data node infrastructure.
For more information, see Services landing page.
The UpdateAdaptiveModels agent causes an exception after Pega 7.2 to 7.2.1 upgrade
Valid from Pega Version 7.2.1
After the Pega 7 Platform is upgraded from version 7.2 to 7.2.1, the log files might show an error that is caused by the UpdateAdaptiveModels agent. This agent is enabled by default and is responsible for updating scoring models in the Pega 7 Platform. If you use adaptive models in your solution, you can avoid this error by configuring the Adaptive Decision Manager service. If you do not use adaptive models, disable the UpdateAdaptiveModels agent.
For more information, see Configuring the Adaptive Decision Manager service and Pega-DecisionEngine agents.
New rule type: External Data Flow
Valid from Pega Version 7.2.1
You can now create External Data Flow rules on the Pega 7 Platform. By using this rule type, you run predictive models outside of the Pega 7 Platform and directly in the external Hadoop data set infrastructure. Processing large amounts of data on an external infrastructure improves overall performance on the Pega 7 Platform by reducing data transfer between the Hadoop cluster and the platform.
For more information, see Big Data enhancements in decision management.
Import and export feature for generic decision data
Valid from Pega Version 7.2.1
New import and export functionality improves the management of generic decision data records (the records that do not belong to the Strategy Results class). You can now configure generic decision data records in a CSV file and later import that file to the Pega 7 Platform. You can also export the existing generic decision data record configuration from the Pega 7 Platform to a CSV file, and save that file in a directory that is external to the Pega 7 Platform.
For more information, see Decision data rule type enhancements.
DSM rulesets become part of the PegaRULES application
Valid from Pega Version 7.2.1
The Pega-DecisionArchitect, Pega-DecisionEngine, Pega-BigData, and Pega-NLP rulesets were moved from the PegaDM application record to the PegaRULES application record. This change makes decision management functionality available for Pega 7 Platform users by default without any additional configuration required.
For more information, see DSM rulesets become part of the PegaRULES application.
HDFS data sets support Parquet files
Valid from Pega Version 7.2.1
The Parquet file format has been added to the list of supported file formats for data storage in the Hadoop Distributed File System (HDFS) data set record. On the Pega 7 Platform, you can now access an HDFS data set that stores data in the Parquet file format and perform various operations on that data set.
For more information, see Big Data enhancements in decision management.
Enhanced entity extraction with the CRF method
Valid from Pega Version 7.2.1
The Free Text Model rule now uses the Conditional Random Field (CRF) method for named entity extraction. The CRF method improves the accuracy of entity extraction by using sequence tagging and by reducing the number of false positives that were generated in the process of extracting named entities from the text. In addition, you can define your own custom entities and import them into the Pega 7 Platform as entity extraction rules that contain Rule-based Text Annotation (Ruta) scripts.
For more information, see Improved Free Text Model rule type.
Dynamic System Setting for selecting clipboard pages implementation
Valid from Pega Version 7.2.1
Create the dsm/clipboard/optimize Dynamic System Setting to select which clipboard pages to use for strategies and data flows in all contexts. Without this setting or with its value set to true, strategies and data flows work on DSM clipboard pages. When you set the value to false, strategies and data flows work on the conventional Pega 7 Platform clipboard pages. This Dynamic System Setting allows you to configure run strategies consistently and obtain consistent results.
For more information, see DSM clipboard pages implementation.