LAYER_08_DATASTORE

To translate a logical data model into a concrete SQL schema, this Skill models physical database designs by capturing schemas, tables, columns, indexes, constraints, and triggers. It bridges logical structures with physical storage characteristics for implementation.

Yes, you can generate SQL DDL for PostgreSQL, MySQL, or SQLite. The Skill applies to architects and engineers translating data models into physical databases and can export SQL DDL directly from the modeled datastore layer.

Physical datastore modeling is the process of defining databases, schemas, tables, columns, and constraints to organize storage boundaries. You need it when documenting storage layouts or mapping logical data models to physical databases for applications.

You model indexes, constraints, and triggers by specifying them within the datastore layer to reflect performance and integrity requirements. This allows you to capture keys, nullability, defaults, and relationships directly in the physical database design.

No, you do not need external database tools to model and reason about your SQL schema design. The Skill requires no external tooling to understand datastore design, though it can export SQL DDL and cross-link to the data-model layer.