data-model-design

Database schema design for multi-tenant data isolation in PostgreSQL uses domain-driven aggregate boundaries to structure normalized OLTP schemas. This approach encodes business invariants directly into constraints to ensure referential integrity and reliable tenant separation.

The difference between OLTP and OLAP database design is that OLTP uses normalized schemas for transactional processing, while OLAP uses dimensional analytical marts for reporting. Schemas are designed based on domain-driven aggregate boundaries to optimize either operational reliability or analytical querying.

Generating physical DDL from a conceptual data model follows Hoberman’s three-pass modeling process. This progression validates business requirements before writing DDL, producing PostgreSQL schemas with encoded business invariants and constraints that prevent costly future schema migrations.

Domain-driven design works with PostgreSQL database schema evolution by mapping aggregate boundaries to normalized transactional schemas. This constraint-driven approach encodes business invariants directly into PostgreSQL, maintaining optimistic concurrency and referential integrity during structural changes.

You should not use a fully normalized database schema when building analytical reporting infrastructure. Dimensional OLAP marts are preferred over normalized OLTP models for analytical reporting infrastructure to optimize complex aggregate queries and business intelligence workloads.