Data Base Architecture

Сентябрь 2, 2022

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Data Base Architecture

Содержание

2. CONTENTS ANSI/SPARC architecture Conceptual level External level Internal level Mappings Data base management system
3. Different Meaning of «architecture» Functional architecture Software architecture Hardware architecture Network architecture Implementation architecture Information architecture
4. Architecture ANSI/X3/SPARC ANSI/X3/SPARC – Study Group on Data Base Management Systems Areas of DB technology standardization
6. Conceptual Level A uniform basis of understanding of AD Includes only conceptually relevant aspects Feature of
7. External Level Convinient data representation Promotes logical independance Promotes data safety problem Supports different external interfaces
8. Internal Level Provides DB adjustments Supports data storage structures and access methods DB efficiency, prformance, redundancy
9. Mappings External-conceptual Conceptual-internal and vise-versa
11. Скачать презентацию

Слайд 2

CONTENTS
ANSI/SPARC architecture
Conceptual level
External level
Internal level
Mappings
Data

base management system

Слайд 3

Different Meaning of «architecture»
Functional architecture
Software architecture
Hardware architecture
Network

architecture
Implementation architecture
Information architecture

Слайд 4

Architecture ANSI/X3/SPARC
ANSI/X3/SPARC – Study Group on Data Base Management Systems

Areas of DB technology standardization
Only DB interfaces may be standardized
Interfaces ?DB architecture

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Conceptual Level
A uniform basis of understanding of AD
Includes only conceptually

relevant aspects
Feature of allowed evolution of DB
Basis of mappings external-intenral levels
Supports the data independance
Supports centralized administration
Stability

Слайд 7

External Level
Convinient data representation
Promotes logical independance
Promotes data safety

problem
Supports different external interfaces

Слайд 8

Internal 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

Слайд 9

Mappings
External-conceptual
Conceptual-internal
and vise-versa