A parallel general-purpose synthetic data generator

Joseph E. Hoag, Craig W. Thompson · ACM SIGMOD Record · 2007

PSDG is a parallel synthetic data generator designed to generate "industrial sized" data sets quickly using cluster computing. PSDG depends on SDDL, a synthetic data description language that provides flexibility in the types of data we can generate.

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