Data partitioning is a database technique that divides a large table into smaller, more manageable pieces called partitions. Each partition contains a subset of the data, and these partitions can be stored on different storage devices or even different servers. This technique improves query performance, simplifies data management, and enables more efficient backup and recovery processes. Common use cases include archiving old data, improving query speeds on frequently accessed data, and distributing data across multiple nodes in a distributed database system.
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