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EPISODE · Sep 14, 2026 · 9 MIN

How Databases Handle Data Decay and Retention

from Database Tech with Fexingo: SQL, NoSQL, and Data Storage Conversations · host Fexingo

Most database discussions focus on speed, but data decay is the silent cost center. In this episode, Lucas and Luna examine how retention policies impact storage costs and query performance. We look at a specific case study of a fintech startup that reduced cloud spend by forty percent by implementing tiered expiration for session tokens. The conversation covers time-to-live mechanisms, garbage collection overhead, and why deleting old data is harder than it sounds. This isn't about storing more; it's about knowing when to let go. #DatabaseRetention #DataDecay #CloudCosts #TimeToLive #GarbageCollection #StorageOptimization #TechEngineering #FintechStartups #LucasAndLuna #FexingoBusiness #BusinessPodcast #DataManagement #SystemDesign #TechTrends2026 #EfficiencyHacks #SoftwareArchitecture #DigitalStrategy #Episode186 Keep every episode free: buymeacoffee.com/fexingo

Episode metadata supplied by the publisher feed · Published Sep 14, 2026

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How Databases Handle Data Decay and Retention

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This episode was published on September 14, 2026.

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