database-design-conventions

Database normalization in .NET is enforced through a validation gate that checks schemas against lifecycle patterns and ORM mapping rules. This ensures data integrity and efficiency by validating designs before implementation.

Mapping temporal data with TimescaleDB and EF Core requires following specific interaction rules for temporal data support. These guidelines define how to structure temporal schemas and configure ORM mappings to handle time-series data efficiently.

Yes, these database design conventions support both EF Core and NHibernate. The ORM mapping rules provide specific guidelines for mapping database schemas to both frameworks, ensuring consistent lifecycle patterns and normalization across either choice.

Implementing soft delete and versioning strategies relies on a lifecycle pattern catalog that defines schema rules for these approaches. This catalog provides structured patterns to manage data lifecycle events without losing historical records.

Common red flags in .NET database schema design include normalization violations, improper ORM mapping configurations, and ignoring lifecycle patterns. Identifying these pitfalls early ensures data integrity, efficiency, and long-term maintainability of the database.