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Data partitioning splits tables into data sets. Each set can
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be modified by only one server. For example, data can be
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partitioned by offices, e.g., London and Paris, with a server
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in each office. If queries combining London and Paris data
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are necessary, an application can query both servers, or
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master/slave replication can be used to keep a read-only copy