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Data Base Architecture
Содержание
- 1. Data Base Architecture
- 2. CONTENTS ANSI/SPARC architecture Conceptual level External level Internal level Mappings Data base management system
- 3. Different Meaning of «architecture» Functional architecture Software
- 4. Architecture ANSI/X3/SPARC ANSI/X3/SPARC – Study Group on
- 5. Слайд 5
- 6. Conceptual Level A uniform basis of understanding
- 7. External Level Convinient data representation Promotes logical independance Promotes data safety problem Supports different external interfaces
- 8. Internal Level Provides DB adjustments Supports
- 9. Mappings External-conceptual Conceptual-internal and vise-versa
- 10. Слайд 10
- 11. Скачать презентанцию
CONTENTS ANSI/SPARC architecture Conceptual level External level Internal level Mappings Data base management system
Слайды и текст этой презентации
Слайд 1Lecture 2. Data Base Architecture
National Aviation University
Computer Science Faculty
Department of
Software Engineering
Слайд 2CONTENTS
ANSI/SPARC architecture
Conceptual level
External level
Internal level
Mappings
Data base management system
Слайд 3Different Meaning of «architecture»
Functional architecture
Software architecture
Hardware architecture
Network architecture
Implementation architecture
Information architecture
Слайд 4Architecture ANSI/X3/SPARC
ANSI/X3/SPARC – Study Group on Data
Base Management
Systems
Areas of DB technology standardization
Only DB interfaces may
be standardizedInterfaces ?DB architecture
Слайд 6Conceptual Level
A uniform basis of understanding of AD
Includes only
conceptually relevant aspects
Feature of allowed evolution of DB
Basis of mappings
external-intenral levelsSupports the data independance
Supports centralized administration
Stability
Слайд 7External Level
Convinient data representation
Promotes logical independance
Promotes data
safety problem
Supports different external interfaces
Слайд 8Internal Level
Provides DB adjustments
Supports data storage structures
and access
methods
DB efficiency, prformance, redundancy
Physical data independance
Promotes data safety problem
Mapping internal schema to the OS data structures
