Database Sharding and Partitioning

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In the video, I discussed the importance of sharding and partitioning in scaling systems. Sharding distributes data across multiple machines for improved throughput and availability. We explored how databases evolve through stages, the differences between sharding and partitioning, and when to introduce these concepts. I also highlighted the benefits of a collaborative system design course I offer. Scaling databases vertically involves increasing resources, while horizontal scaling adds more servers for higher throughput. Sharding splits data across shards, while partitioning divides data within a shard. Strategic partitioning is crucial for efficient data management.

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