How Databases Handle Data Decay and Retention

We look at why database retention policies are often an afterthought until compliance hits. Using the example of a fintech startup that nearly faced a GDPR fine because they stored raw user behavioral logs for seven years, we explore how data decay works in practice. Lucas walks through the mechanics of time-to-live settings in modern NoSQL stores versus the manual cleanup scripts still running on legacy SQL systems. Luna challenges the assumption that more data is always better, bringing up the hidden costs of storing cold data in cloud object storage. We break down the specific architecture changes needed to move from indefinite retention to intelligent lifecycle management without breaking audit trails. #DataRetention #GDPRCompliance #DatabaseArchitecture #NoSQLvsSQL #CloudCostOptimization #DataLifecycle #FexingoBusiness #BusinessPodcast #TechStrategy #DataGovernance #StorageCosts #EngineeringOps #StartupGrowth #DataPrivacy #CloudInfrastructure #DatabaseManagement #ITLeadership #DigitalTransformation Keep every episode free: buymeacoffee.com/fexingo