1. 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

2. Content
I.Data Modeling and
Database Characteristics
II.Data Center
III.Data Modeling

3. 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?

4. 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

5. Data Modeling
Building a database requires two
type of designs
Planned data redundancy
Data Model
Enterprise data modeling
Entity-relationship(ER) diagrams

6. 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

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. The End
Thank You