Processing data with data flows
Data flows are scalable and resilient data pipelines that you can use to
ingest, process, and move data from one or more sources to one or more destinations.
Each data flow consists of components that transform data in the pipeline and
enrich data processing with event strategies, strategies, and text analysis. The components
run concurrently to handle data starting from the source and ending at the
destination.
Creating a data flow Creating external data flows Pega Platform . Making decisions in data flow runs Managing data flow runs Data flow methods Data-Decision-DDFRunOptions is the container class for the API rules and provides the properties required to programmatically configure data flow runs. Additionally, the DataFlow-Execute method allows you to perform a number of operations that depend on the design of the data flow that you invoke. Decision data methods External data flow methods Data-Decision-EDF-RunOptions and Pega-DM-EDF-Work are the container classes for the API rules, and provide the properties required to programmatically configure external data flow runs.