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EPISODE · Oct 9, 2026 · 11 MIN

Why Your Database Queries Are Slow

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

We break down the specific mechanics of query optimization and why index fragmentation is silently killing application performance. Using a real-world example from a major fintech platform that saw latency spikes after a routine schema change, we explain how B-tree indexes degrade over time. Lucas walks through the trade-offs between read speed and write overhead, while Luna challenges the assumption that more indexes always mean better performance. This episode covers practical steps to audit your slow query logs and reclaim storage efficiency without rebuilding your entire data layer. #DatabaseOptimization #QueryPerformance #IndexFragmentation #BTreeIndexes #SlowQueries #FintechEngineering #DataStorage #LucasAndLuna #FexingoBusiness #BusinessPodcast #TechStrategy #EngineeringEfficiency #DataArchitecture #SystemDesign #PerformanceTuning #DatabaseManagement #CloudInfrastructure #DevOps Keep every episode free: buymeacoffee.com/fexingo

Episode metadata supplied by the publisher feed · Published Oct 9, 2026

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Why Your Database Queries Are Slow

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This episode is 11 minutes long.

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This episode was published on October 9, 2026.

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