All mainstream database systems lack support for temporal metadata, and instead store only the most recent data. Consequently, they can only manage temporal data in an ad hoc manner -- oftentimes not effectively. Yet there are countless application domains that need temporal data. This book offers a much-needed solution: It includes a bitemporal relational data model, based on nested relations, as well as its algebra and calculus languages for expressing queries. The fundamental construct for representing temporal data is a bitemporal atom; a value, its validity period, and the time this data was recorded in the database. The concept of ?context? defines different views of bitemporal data. BtSQL, a simple bitemporal variation of the SQL, is introduced. The book also provides a prototype implementation, which demonstrates the feasibility of the proposed approach in an object-relational database system. Researchers and practitioners in database development will find this book useful. It can be used as a textbook in advanced database courses -- particularly in application domains where temporal metadata can greatly leverage the value of the data as it is stored and utilized.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
All mainstream database systems lack support for temporal metadata, and instead store only the most recent data. Consequently, they can only manage temporal data in an ad hoc manner -- oftentimes not effectively. Yet there are countless application domains that need temporal data. This book offers a much-needed solution: It includes a bitemporal relational data model, based on nested relations, as well as its algebra and calculus languages for expressing queries. The fundamental construct for representing temporal data is a bitemporal atom; a value, its validity period, and the time this data was recorded in the database. The concept of ?context? defines different views of bitemporal data. BtSQL, a simple bitemporal variation of the SQL, is introduced. The book also provides a prototype implementation, which demonstrates the feasibility of the proposed approach in an object-relational database system. Researchers and practitioners in database development will find this book useful. It can be used as a textbook in advanced database courses -- particularly in application domains where temporal metadata can greatly leverage the value of the data as it is stored and utilized.
Canan Eren Atay received MS, PhD degrees from CUNY. Dr. Atay is an instructor at Dokuz Eylul University, Izmir, Turkey. Abdullah Uz Tansel studied at USC and the Middle East Technical University in Ankara, Turkey; is a professor of Computer Science at Baruch College and the Graduate Center of CUNY. His current research is on SaaS and SOA.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Atay Canan ErenCanan Eren Atay received MS, PhD degrees from CUNY. Dr. Atay isnan instructor at Dokuz Eylul University, Izmir, Turkey. nAbdullah Uz Tansel studied at USC and the Middle East TechnicalnUniversity in Ankara, Turkey is . N° de réf. du vendeur 4960333
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Taschenbuch. 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. N° de réf. du vendeur 101648394
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Taschenbuch. 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. N° de réf. du vendeur 9783639131871
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