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A Parallel General-Purpose Synthetic Data Generator1

In: Data Engineering

Author

Listed:
  • Joseph E. Hoag

    (University of Arkansas)

  • Craig W. Thompson

    (University of Arkansas)

Abstract

The IT industry needs synthetic data generation tools for a number of applications including (but not limited to): Regression testing. Repeatedly generate the same large data set for testing enterprise applications. Allow the data set to be removed between regression tests.

Suggested Citation

  • Joseph E. Hoag & Craig W. Thompson, 2009. "A Parallel General-Purpose Synthetic Data Generator1," International Series in Operations Research & Management Science, in: Yupo Chan & John Talburt & Terry M. Talley (ed.), Data Engineering, chapter 6, pages 103-117, Springer.
  • Handle: RePEc:spr:isochp:978-1-4419-0176-7_6
    DOI: 10.1007/978-1-4419-0176-7_6
    as

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