Database sharding is a powerful technique employed to manage large databases more effectively. It involves partitioning a large database into smaller, more manageable parts, known as shards. The term “shard” signifies a small fragment of a whole, aptly describing this method of breaking down a large database into smaller, more manageable pieces. Sharding is often applied to databases for several reasons, including improving query performance, facilitating data organization, and enhancing scalability. By distributing data across multiple servers, sharding can significantly reduce the response time for data queries, provide a more organized data structure, and allow for easier scaling as the amount of data grows.

The above diagram presents a visual representation of a sharded database. The primary database is segmented into smaller shards, each of which is stored on a distinct server.

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