Data Models (kubes)

Data Models

The Data Models or Knowledge Node Object is used to represent data models that are logically integrated into a workflow within ARPIA. Rather than acting as standalone data sources, these objects are designed to define and expose structured entities—such as customer records, transactions, or product data—that are consumed by other components in a pipeline.

By including Data Models in a workflow, users can maintain clarity, structure, and consistency across the different stages of data processing, while anchoring key business concepts within the logic of the project.

Key Features

• Defines logical data models used within workflow pipelines.
• Serves as a reference point for downstream processing objects.
• Promotes clarity and modularity in complex data workflows.
• Ensures consistency by anchoring structured data entities in the workflow logic.

Recommended Use Cases

• Integrating business entities as part of a larger data transformation or ML pipeline.
• Structuring and documenting the role of data models inside a Workshop.
• Enabling traceable, well-defined inputs or outputs in automated processes.