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.
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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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Taschenbuch. Zustand: Neu. DBDetective for Oracle | A metadata mining tool for detecting violations of Oracle database design, usage, and optimization best practice rules | Alina-Iuliana Dicu | Taschenbuch | 140 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659236778 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Artikel-Nr. 105357804
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