Royal University of Phnom Penh
     MIS
Member Group
               ដឹកនាំេដយស�ស�Mr Kean Tak
                          



1/ Ny Rachakna        6/Ly Limkri
2/Ngin Visal          7/Ly Sotharith
3/Orm SovannTara      8/Meng Chheng
4/My Poleak           9/Ngim Ratana
5/Loy Sakvanna       10/Nhem Ratbophea
Content
I.Data Modeling and
  Database Characteristics
II.Data Center
III.Data Modeling
Data Modeling and the Database Characteristise
  When building a database, an organization must consider:
  Content:
    What data should be collected and at what cost?
  Access:
   What data should be provided to which users and when?

  Logical structre:
    How should data be arranged so that it makes sense
    to a given user?

  Physical organization:
    Where should data be physically located?
Data Center
Climate-controlled building or set of buildings that:

 House database servers and the systems that deliver
      mission-critical information and services.



Traditional data centers
 Consist of warehouses filed with row upon row of
      server racks and powerful cooling systems
Data Modeling
Building a database requires two
type of designs
Planned data redundancy
Data Model
Enterprise data modeling

Entity-relationship(ER) diagrams
Data Modeling
Building a database requires two types of designs

Logical design:
  shows an abstract model of how the data should be
  structured and arranged to meet an organization’s
  information needs

Physical design

  starts from the logical database design and fine-
  tunes it for performance and cost considerations
Data Modeling
Data Model
 a diagram of data entities and their relationships

Enterprise data modeling
 Starts by investigating the general data and information
 needs of the organization at the strategic level

Entity-relationship(ER) diagrams
  data models that use basic graphical symbols to
 show the organization of and relationships between data
The End
Thank You

Mis chapter5

  • 1.
    Royal University ofPhnom Penh MIS Member Group ដឹកនាំេដយស�ស�Mr Kean Tak  1/ Ny Rachakna 6/Ly Limkri 2/Ngin Visal 7/Ly Sotharith 3/Orm SovannTara 8/Meng Chheng 4/My Poleak 9/Ngim Ratana 5/Loy Sakvanna 10/Nhem Ratbophea
  • 2.
    Content I.Data Modeling and Database Characteristics II.Data Center III.Data Modeling
  • 3.
    Data Modeling andthe Database Characteristise When building a database, an organization must consider: Content: What data should be collected and at what cost? Access: What data should be provided to which users and when? Logical structre: How should data be arranged so that it makes sense to a given user? Physical organization: Where should data be physically located?
  • 4.
    Data Center Climate-controlled buildingor set of buildings that: House database servers and the systems that deliver mission-critical information and services. Traditional data centers Consist of warehouses filed with row upon row of server racks and powerful cooling systems
  • 5.
    Data Modeling Building adatabase requires two type of designs Planned data redundancy Data Model Enterprise data modeling Entity-relationship(ER) diagrams
  • 6.
    Data Modeling Building adatabase requires two types of designs Logical design: shows an abstract model of how the data should be structured and arranged to meet an organization’s information needs Physical design starts from the logical database design and fine- tunes it for performance and cost considerations
  • 7.
    Data Modeling Data Model a diagram of data entities and their relationships Enterprise data modeling Starts by investigating the general data and information needs of the organization at the strategic level Entity-relationship(ER) diagrams  data models that use basic graphical symbols to show the organization of and relationships between data
  • 8.