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Organizing Data and Information

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Identify the common functions performed by all database management systems ... Database Management Systems. Principles of Information Systems, Fifth Edition. Chapter 5 ... – PowerPoint PPT presentation

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Title: Organizing Data and Information


1
Organizing Data and Information
  • Chapter 5

2
Learning Objectives
  • Define general data management concepts and terms
  • Describe the advantages disadvantages of the
    database approach to data management
  • Name 3 database models list their features,
    advantages disadvantages.

3
Learning Objectives
  • Identify the common functions performed by all
    database management systems
  • Identify 3 popular end-user database management
    systems
  • Briefly discuss recent database developments.

4
Fig 5.1
5
Fig 5.2
6
The Traditional versus the Database Approach to
Data Management
7
Fig 5.3
8
Problems with the Traditional Approach
  • Data redundancy
  • Program-data dependence
  • Inflexibility

9
Fig 5.4
10
Table 5.1
11
Table 5.2
12
Data Modeling Database Models
13
Data Design Issues
  • Content What data should be collected?
  • Access What data should be given to what users?
  • Logical structure How will the data be organized
    to make sense to a particular user?
  • Physical organization Where will the data
    actually be located?

14
Data Modeling
  • Logical design
  • Physical design
  • Planned data redundancy
  • Data model

15
Entity-Relationship (ER) Diagrams
  • Fig 5.5

16
Data Models
  • Hierarchical models
  • Network models
  • Relational models

17
Fig 5.6
18
Fig 5.7
19
Fig 5.8
20
Operations
  • Select rows
  • Project columns
  • Join tables

21
Fig 5.9
22
Database Management Systems
23
Database Management Systems (DBMSs)
  • Provide a user view
  • Provide tools to create modify the database
  • Store retrieve data
  • Manipulate data
  • Produce reports

24
Fig 5.11
25
Fig 5.12
26
Fig. 5.13
27
Data Dictionary Benefits
  • Reduced data redundancy
  • Faster program development
  • Easier data information modification
  • Increased data reliability

28
Fig 5.14
29
Fig 5.15
30
Fig 5.16
31
Fig 5.17
32
Selecting a DBMS
  • Database size
  • Number of concurrent users
  • Performance
  • Integration

33
Selecting a DBMS
  • Features
  • Vendor
  • Cost

34
Database Developments
35
Fig 5.18
36
Fig 5.19
37
Table 5.3
38
Database Developments
  • Data warehouses
  • Data marts
  • Data mining
  • Online analytical processing (OLAP)

39
Table 5.4
40
Table 5.5
41
Table 5.6
42
Fig 5.20
43
Object-Relational Database Management Systems
  • Stores objects
  • Hypertext
  • Hypermedia
  • Spatial data technology

44
Business Intelligence
  • Competitive Intelligence
  • Counterintelligence
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