DBDetective for Oracle

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Many existing databases are poorly designed, implemented, fine-tuned, and used. For asserting and, especially, improving their quality, several sets of best practice rules were proposed; considering a kernel crucial subset of the ones introduced by Christian Mancas, I have architectured, designed, developed, tested, used, and documented a first version of DBDetective for Oracle, a metadata mining tool for detecting violations by Oracle databases of corresponding design, implementation, and usage best practice rules. This book should be especially useful to professionals in business analysis, database design, Oracle implementations, usage, and optimization, or anyone else who may be considering utilizing DBDetective for improving their Oracle (but not only!) databases quality.

Autorentext

Alina Iuliana Dicu: Studied Computer Science at "Ovidius" Univ. Constanta (BSc.) and Software Engineering at "Politehnica" Univ. Bucharest (MSc., PhD. student). BI consultant at V.I.E.W. srl Bucharest and T.A. at "Politehnica" Univ. Bucharest, Romania.

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Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Gewicht 227g
    • Untertitel A metadata mining tool for detecting violations of Oracle database design, usage, and optimization best practice rules
    • Autor Alina-Iuliana Dicu
    • Titel DBDetective for Oracle
    • Veröffentlichung 01.04.2014
    • ISBN 3659236772
    • Format Kartonierter Einband
    • EAN 9783659236778
    • Jahr 2014
    • Größe H220mm x B150mm x T9mm
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 140
    • GTIN 09783659236778

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