Semistructured Database Design
- Indbinding:
- Hardback
- Sideantal:
- 178
- Udgivet:
- 19. november 2004
- Udgave:
- 2005
- Størrelse:
- 165x20x243 mm.
- Vægt:
- 458 g.
- 8-11 hverdage.
- 7. december 2024
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- Ingen binding
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Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Semistructured Database Design
Semistructured Database Design provides an essential reference for anyone interested in the effective management of semsistructured data. Since many new and advanced web applications consume a huge amount of such data, there is a growing need to properly design efficient databases.
This volume responds to that need by describing a semantically rich data model for semistructured data, called Object-Relationship-Attribute model for Semistructured data (ORA-SS). Focusing on this new model, the book discusses problems and presents solutions for a number of topics, including schema extraction, the design of non-redundant storage organizations for semistructured data, and physical semistructured database design, among others.
Semistructured Database Design, presents researchers and professionals with the most complete and up-to-date research in this fast-growing field.
This volume responds to that need by describing a semantically rich data model for semistructured data, called Object-Relationship-Attribute model for Semistructured data (ORA-SS). Focusing on this new model, the book discusses problems and presents solutions for a number of topics, including schema extraction, the design of non-redundant storage organizations for semistructured data, and physical semistructured database design, among others.
Semistructured Database Design, presents researchers and professionals with the most complete and up-to-date research in this fast-growing field.
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Bogen Semistructured Database Design findes i følgende kategorier:
- Business og læring > Computer og IT
- Sprog og lingvistik
- Reference, information og tværfaglige emner > Forskning og information: generelt > Informationsteori
- Databehandling og informationsteknologi > Programmering / softwareudvikling > Algoritmer og datastrukturer
- Databehandling og informationsteknologi > Databaser > Data warehouse
- Databehandling og informationsteknologi > Informatik > Matematisk datateori
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