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A Parallel General-Purpose Synthetic Data Generator1

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Data Engineering

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 132))

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.

1This chapter is adapted from an article of the same name published by the authors in the March 2007 issue of the ACM SIGMOD Record.

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Notes

  1. 1.

    The actual values could change with a different random seed.

References

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Author information

Authors and Affiliations

  1. Computer Science and Computer Engineering Department, University of Arkansas, Fayetteville, AR, USA

    Joseph E. Hoag & Craig W. Thompson

Authors
  1. Joseph E. Hoag
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  2. Craig W. Thompson
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Editor information

Editors and Affiliations

  1. Dept. Systems Engineering, Donaghey College of Info Sci., University of Arkansas, South University Avenue 2801, Little Rock, 72204-1099, Arkansas, USA

    Yupo Chan

  2. Dept. Information Science, University of Arkansas, Little Rock, South University Ave. 2801, Little Rock, 72204-1099, USA

    John Talburt

  3. Acxiom Corporation, Conway, USA

    Terry M. Talley

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Hoag, J.E., Thompson, C.W. (2009). A Parallel General-Purpose Synthetic Data Generator1 . In: Chan, Y., Talburt, J., Talley, T. (eds) Data Engineering. International Series in Operations Research & Management Science, vol 132. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0176-7_6

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  • DOI: https://doi.org/10.1007/978-1-4419-0176-7_6

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-0175-0

  • Online ISBN: 978-1-4419-0176-7

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