After enabling the key DSM services, define the sources of data to use in your decision strategies.
Create database tables, HBase data set, and Decision Data Store data sets as data sources in data flows and strategies.
- Creating database tables
Create database table data instances to map classes or class groups to database tables or views. You can use the Database Table form to revise existing class-to-table relationships.
- Creating a Database Table data set that uses the relational database
Create a Database Table data set to query and save data in the Pega Platform relational database.
- Connecting to an external Cassandra database through a Database Table data set
Connect Pega Platform to an external Cassandra cluster through a dedicated Database Table data set so that you can use custom tables that you store in Cassandra in data flows to read and write data. You can access your custom data model by mapping the model to a Pega Platform class.
- Creating an HBase data set record
Configure an instance of the HBase data set rule to read data from and save it to an external HBase storage.
- Configuring Hadoop settings for an HBase connection
Use the HBase settings in the Hadoop data instance to configure connection details for the HBase data sets.
- Creating a Decision Data Store data set
You can store decision management-related records in a Cassandra database-based Decision Data Store data set that is provided in Pega Platform. Horizontally scalable and supported by decision data nodes, decision data stores take data from different sources and make it available for real-time and batch processing. To use Cassandra to its full potential, use Decision Data Store data sets to manage large and active data sets that are a source of data for Visual Business Director reporting, delayed adaptive learning, and so on.
- Decision Data Store tables
The Decision Data Store service stores large volumes of data. Decision management applications, which require high throughput and low-latency access to data, need this data.