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Database sharding is a technique used to horizontally partition large databases into smaller, more manageable pieces called "shards." Each shard contains a subset of the data, and together they form the complete dataset. Sharding is employed to distribute the database load across multiple servers, allowing for improved performance and scalability. This overview provides insights into the concept of database sharding and its significance in handling massive amounts of data efficiently.
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