Database DeepDive
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Database DeepDive
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About this listen
In this episode, we explore the core techniques used to scale modern database systems. We break down replication, sharding, and partitioning the fundamental strategies that allow databases to handle massive workloads while maintaining performance and reliability.
We also dive into the CAP theorem in real-world systems, explaining the trade-offs between consistency, availability, and partition tolerance, and how large-scale platforms make architectural decisions based on these constraints.
Finally, we discuss denormalization as a scaling strategy, understanding when it's beneficial to sacrifice strict normalization for faster reads and improved system performance.
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