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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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.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 140 pp. Englisch. N° de réf. du vendeur 9783659236778
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dicu Alina-IulianaAlina 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 P. N° de réf. du vendeur 5141997
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 140 pp. Englisch. N° de réf. du vendeur 9783659236778
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783659236778
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Taschenbuch. Etat : 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. N° de réf. du vendeur 105357804
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