data-management

Choosing between relational and document databases depends on your use case, as this database selection guidance evaluates relational, document, key-value, time-series, and graph databases. It helps you match your specific data persistence patterns to the most appropriate database type.

The best way to design a relational database schema is by applying normalization principles and defining primary and foreign keys. This data modeling approach ensures data reliability while preventing common structural anti-patterns in your e-commerce application.

To optimize database queries and fix N+1 problems, you need efficient indexing strategies and query optimization techniques. This guidance helps diagnose missing indexes and refactor queries to significantly improve overall database performance.

Safe and backward-compatible database migrations require strict adherence to best practices for schema design and migration safety. This ensures your data persistence layer remains reliable and performant throughout the migration process without downtime.

Implementing the 3-2-1 backup rule and defining RTO and RPO establishes a reliable recovery plan for your data assets. This backup and recovery guidance ensures your database persistence layer remains safe against data loss scenarios.

To manage PII and ensure data privacy compliance, you should implement encryption and data masking within your database structures. This data privacy guidance keeps personal identifiable information safe across all persistence solutions.