Dataryhmien

Dataryhmien, or data groups, are logical groupings of data elements and records that share a common domain or purpose. They are used to organize data assets within information systems, data catalogs, and governance frameworks.

They support data discovery, access control, quality assurance, and compliance. By clustering data by domain, sensitivity, or lifecycle stage, organizations can apply consistent policies, retention schedules, and stewardship responsibilities.

In data modeling, dataryhmien often align with subject areas or data domains; they can map to database schemas, tables, or partitions, and are described by metadata, owners, quality rules, and provenance.

Examples include a customer dataryhmä containing names, contact details, and purchase history; a product dataryhmä with SKUs, descriptions, and pricing; and a financial dataryhmä with transactions and balances. Data architects define dataryhmien in data catalogs, and governance ensures proper boundaries and interfaces.

They also support privacy and compliance by enabling data minimization, retention control, and efficient processing of data subject requests.