Data partitioning distributes rows and columns to specific database servers with little or no duplication between servers.

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Data partitioning is a technique used to distribute data across multiple database servers, with the goal of improving performance and scalability. By distributing rows and columns to specific servers, data partitioning can reduce the amount of data that needs to be processed by each server, which can lead to faster query execution times. Additionally, data partitioning can help to improve data locality, which can also lead to performance improvements.

Data Partitioning Distributes Rows and Columns to Specific Database Servers