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Ajouter au panierEtat : New. In.
Langue: anglais
Edité par VDM Verlag Dr. M�ller 2009-03-06, 2009
ISBN 10 : 3639131878 ISBN 13 : 9783639131871
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Ajouter au panierPaperback. Etat : New.
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Ajouter au panierTaschenbuch. Etat : Neu. Bitemporal Databases | Modeling and Implementation | Canan E. Atay (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639131871 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
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Ajouter au panierPaperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Ajouter au panierPAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - All mainstream database systems lack support fortemporal metadata, and instead store only the mostrecent data. Consequently, they can only managetemporal data in an ad hoc manner -- oftentimes noteffectively. Yet there are countless applicationdomains that need temporal data. This book offers amuch-needed solution: It includes a bitemporalrelational data model, based on nested relations, aswell as its algebra and calculus languages forexpressing queries. The fundamental construct forrepresenting temporal data is a bitemporal atom; avalue, its validity period, and the time this datawas recorded in the database. The concept of context defines different views of bitemporal data.BtSQL, a simple bitemporal variation of the SQL, isintroduced. The book also provides a prototypeimplementation, which demonstrates the feasibility ofthe proposed approach in an object-relationaldatabase system. Researchers and practitioners indatabase development will find this book useful. Itcan be used as a textbook in advanced databasecourses -- particularly in application domains wheretemporal metadata can greatly leverage the value ofthe data as it is stored and utilized.