Default Data Product Types

Data Product Types

Foundation automatically assigns a type to a data product based on how it was generated:

• System: Data products that are created by Foundation as routine tasks or as part of Foundation set up, and relate to entities of Foundation's operation (users, logs, data quality,…)

• User: Data products defined and created by users.

• Agent: Data products automatically created by AI agents.

Data Product Tags

Foundation offers default tags that allow users to classify Data Products. These tags can be modified with the right permissions:

• Source-Aligned: its schema is very similar to that of the object in the data source

• Consumer-Aligned: its schema aims to match what a use case/application requires (consumer of data)

• Data Quality: contains system data about data products' data quality

• Logs: contains system metadata about actions that happen in Foundation

• Features: contains a schema that aims to be an input for ML training

• Predictions: contains the output of a ML pipeline

• Master: curated golden record (for master data management)

• Reference: used as reference for controlled values, it often comes from external sources (reference data)

• Dimension: contains descriptive attributes, like customer demographics, that provide context for the facts

• Fact: stores quantitative data for analysis, such as sales transactions