Presentation 1 for Mis

8/6/2019 Presentation 1 for Mis

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BY ROLL NUMBERS: 1001247078

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10012470811001247082

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Conceptual models includeEntity-relationship database model (ERDBM)

Object-oriented database model (OODBM)

Implementation models includeHierarchical database model (HDBM)

Network database model (NDBM)

Relational database model (RDBM)

Object-oriented database model (OODBM)


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Hierarchical Model

Network Model

Relational Model

Object-Oriented Model

Entity-Attribute-Value (EAV) data model


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COMPARISION:y Hierarchical (tree)

y Data is organized top-down

y Networky Owner-membership relationship

y A member can have many owners

y Relational

y Uses tabular format with 2-dimensional tables(relations)

y Relations resemble files


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RELATIONAL DATABASE MODEL:y Data is represented in the form oftables, and the

modelhas 3 components

y Data structure dataare organised in the form oftables with rows and columns

y Data manipulation powerful operations (using theSQL language) are used to manipulate data stored in

the relationsy Data integrity facilities are included to specifybusiness rules that maintain the integrityof datawhentheyare manipulated


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Entity-Relationship diagrams are useful for modelling dataandthe relationships between the data. Theycan be used when theconstraints between dataare relativelysimple. Theydo notallow specification of interactions between the data or modelhow the data changes (there are no processes in Entity-Relationship).


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Conceptual simplicity:

Database security:

Data integrity

Data independence

Efficiency in 1:M


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Hierarchical Database Model

y Disadvantages

y Complex implementation:

y Difficult to manage and lack of standards

y Lacks structural independence

y

Applications programming and use complexity(pointer based)

y Implementation limitations, i.e. especially it onlyhandle 1:M type of model


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NETWORK DATABASE:y Advantages

y Conceptual simplicity, just lime HDMy Handles more relationship types (but all 1:M

relationship)y Data access flexibilityy Promotes database integrityy Data independencey Conformance to standards

y Disadvantagesy System complexityy Lack of structural independence


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Structural independence: data access path isirrelevant to database design;

change structure will not affect the database

Improved conceptual simplicity

Easier database design, implementation,management, and use

Ad hoc query capability with SQL (4GL isadded)

Powerful database management system

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Slide 13

u1 user, 4/26/2011


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Substantial hardware and system software

overheadPoor design and implementation is madeeasy

May promote islands of information

problems


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ENTITY ATTRIBUTE

RELATIONSHIP:ADVANTAGEy Conceptual simplicity

y Visual representation

y Effective communication

y Integration withthe relationaldatabase model

DISADVANTAGESy Limited constraint

representation

y Limited relationshiprepresentation

y No representation of datamanipulation

y Loss of information


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OLTP vs. OLAP

We can divide ITsystems intotransactional (OLTP)

and analytical (OLA

P).In general we canassume that OLTPsystems provide sourcedatato data

warehouses, whereasOLAP systems help toanalyze it.


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DIFFERENCE:

DATA WAREHOUSING DBMS

y You could think of datawarehousing as an

environmentthatprovides a vehicle todeliver meaningfulinformation to thebusiness communitytoenable effective

operations oversightandbusiness decisionsupport.

y DBMS is a "DatabaseManagement System". Thisis the software that

manages data on physicalstorage devices. Thesoftware provides the abilityto store, access and modifythe data. Examples ofadbms would be Oracle,

SQL/Server, DB2 andInformix in the relational(rdbms) world


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FUTURE OF DATABASE MODEL:


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THANK YOU

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Presentation 1 for Mis