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Saturday, May 16, 2020 | History

1 edition of R&D database handbook found in the catalog.

R&D database handbook

R&D database handbook

a worldwide guide to key scientific and technical databases

  • 328 Want to read
  • 36 Currently reading

Published by Technical Insights in Fort Lee, NJ .
Written in English

    Subjects:
  • Information storage and retrieval systems -- Science -- Handbooks, manuals, etc.,
  • Information storage and retrieval systems -- Technology -- Handbooks, manuals, etc.,
  • Data libraries -- Directories.,
  • Online bibliographic searching -- Directories.,
  • Computer service industry -- Directories.

  • Edition Notes

    Includes index.

    Other titlesR and D database handbook.
    StatementRobert L. Davidson, project editor.
    ContributionsDavidson, Robert L., Technical Insights, Inc.
    Classifications
    LC ClassificationsZ699.5.S3 R2 1984
    The Physical Object
    Paginationxvii, 203 leaves ;
    Number of Pages203
    ID Numbers
    Open LibraryOL2870961M
    ISBN 100914993070
    LC Control Number84051897

    Purchase Computational Statistics with R, Volume 32 - 1st Edition. Print Book & E-Book. ISBN , Organised in three parts, the Handbook first addresses planning, covering method selection, experimental design, sampling strategy, and data analysis and evaluation. The second part describes survey, evaluation and monitoring methods for a broad range of habitats.

    The Data Access Handbook Achieving Optimal Database Application Performance and Scalability John Goodson • Robert A. Steward Drive breakthrough database application performance by optimizing middleware and connectivity Performance and scalability - Selection from The Data Access Handbook: Achieving Optimal Database Application Performance and Scalability [Book]. The Data Access Handbook Achieving Optimal Database Application Performance and Scalability John Goodson * Robert A. Steward Drive breakthrough database application performance by optimizing middleware and connectivity Performance and scalability are more critical than ever in today's enterprise database applications, and traditional database tuning isn't nearly enough to .

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