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Data Processing Engine
Data Processing Engine Workflow

Data Processing Engine Workflow

Build Data Processing Engine definitions in CRM Analytics and Data 360 runtimes. Use nodes to select data sources, add the data transformation logic, and configure target writeback destinations for the transformation results. Run and monitor Data Processing Engine definitions.

Required Editions

View supported editions.

Define Your Business Requirements

Plan your Data Processing Engine definition based on the business problem or process that you want to configure the definition for.

  • Define the business requirement such as reporting, analytics, data integration, and real-time insights.

    Determine the volume of data that you want to process and the frequency of updates, so you can decide the runtime where you can run your Data Processing Engine definitions.

  • Make a list of the data sources needed for your data processing such as Salesforce data, external databases, custom objects, and CSV files.
  • Determine the types of data transformations such as aggregations, joins, filters, and calculations.
  • Decide the destination where you want to write back the transformed data, such as objects, datasets, or Data 360 objects.

Design Your Definition

Create your Data Processing Engine definition and configure nodes to select data sources, transform data, and write back the transformed results.

After you’ve designed your definition, activate it. You can preview the definition and run it from the builder with debug modes to validate whether the definition transforms data as per the business requirements.

Schedule Definition Runs

Run the definition as part of the business process that it transforms and writes back data for. Run the definition based on a schedule or based on triggers by using Salesforce Flow. Or, trigger runs from external systems

 
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