database-design

Database schema design requires principled normalization decisions, primary and foreign key strategies, and relationship modeling to ensure data integrity. You must outline your project's data model, listing tables and primary keys to establish clear entity relationships.

Indexing strategies require selecting appropriate composite indexes and query patterns to avoid N+1 queries in real workloads. You must evaluate indexing choices alongside your schema design to ensure query performance scales with your application.

ORM selection depends on comparing serverless versus self-hosted database deployments aligned with your project context. You must evaluate your deployment environment and migration strategy to determine the appropriate ORM and database architecture.

Database design for multi-tenant applications requires clear entity relationships, scalable migrations, and disciplined normalization. You can apply principled schema design and indexing strategies to build multi-tenant systems with robust data integrity.

Timestamps and primary keys in relational databases require principled strategies to maintain consistency across applications. You must establish clear conventions for primary/foreign key design and timestamp handling during the initial schema modeling phase.

Migration strategies for serverless databases require evaluating your current self-hosted deployment, ORM compatibility, and schema design constraints. You must assess relational versus serverless trade-offs and project context before executing scalable migrations.