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Data Organization Chapter 9

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Title: Data Organization Chapter 9


1
Data Organization (Chapter 9)
  • Field (e.g., employee number)
  • Record (e.g., employee record)
  • File (e.g., group of records)

2
Folder
  • Branches of a tree
  • Subfolder
  • How do you organize your folders in the computer?
    Is it efficient when you look for certain files?
  • How do you backup your files? Backup the entire
    hard-drive?

3
Organize Data Files
  • Function
  • Frequency of use
  • Users
  • Projects

4
Key Field
  • A value that uniquely identifies each record
    (e.g., student ID)
  • With the key field, one can sort, filter, and
    locate records

5
History of Database
  • Hierarchical Database Structure
  • 1964, GE developed Integrated Data Store
  • Network Database Structure
  • 1971, CODASYL
  • Relational Database Structure
  • 1977, Codd described relational algebra between
    fields

6
Relational Database
  • Common column the implicit linkage
  • the other two types of database may need Physical
    Relationships
  • Used book example
  • Microsoft Access

7
Structured Query Language (SQL)
  • A language to manipulate data in the database
  • Reference
  • Visual Basic ????????? with ACCESS SQL Server,
    ?? (1999)

8
Enter Data
  • Input into a spreadsheet
  • Input into a custom-made form

9
Retrieve Data
  • Person
  • Terminal or PC
  • Other applications
  • Client-Server structure
  • VB linked with SQL or Oracle server

10
Data Description Language
  • How you define each field
  • Personal ID must have 10 digits with the first to
    be an alphabet
  • Zip code is always 3 digits
  • Salary is always non-negative
  • Name wont contain any numerical digits

11
On-line Analytical Processing(OLAP)
  • E-commerce
  • Analyze your existing customers
  • who may be your potential customers?

12
Knowledge Discovery in Database
  • Data Warehouse
  • Data Mart
  • Smaller database within a warehouse
  • Data Mining
  • Finding relationships in data that are unknown to
    the user
  • Verification-driven, Discovery-driven, Combined
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