ACM SIGMOD Record · 2007 · 74 citations · 7 references
ComputingComputer EngineeringComputer ScienceCluster ComputingData EngineeringParallel ComputingCode GenerationData ParallelismParallel ComputationParallel SynthesisParallel Data Processing
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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Quickly generating billion-record synthetic databases
Jim Gray, Prakash Sundaresan, Susanne Englert et al. · 1994 · 352 citations
Nicolas Bruno, Surajit Chaudhuri · Very Large Data Bases · 2005 · 120 citations
Simple and realistic data generation
Kenneth Houkjær, Kristian Torp, Rico Wind · 2006 · 119 citations
John M. Stephens, Meikel Poess · ACM SIGSOFT Software Engineering Notes · 2004 · 48 citations