Chapter 1: Introduction to Database Processing
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Database Database Processing Processing
Chapter 1 Introduction to Database Processing
David M. Kroenke © 2000 Prentice Hall
Chapter 1
Database Example 1 Mary Richards Housepainting – – – –
Self Employed Entrepreneur Single User Database 3 Tables (Customers, Jobs, Source) Data Needs: • • • •
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Track how customers, jobs, and referrals relate Record bid estimates Track referral sources Produce mailing labels © 2000 Prentice Hall
SOURCE
CUSTOMER
JOB
Page 4 Tables of Data for Mary Richards Housepainting, Figure 1-1 © 2000 Prentice Hall
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Database Example 2 Treble Clef Music – Multi-User database on LAN – 3 Tables (Customers, Instruments, Rentals) – Data Needs: • Track instrument rentals • Handle multi-user issues
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Customer Form, Figure 1-5a © 2000 Prentice Hall
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Rental Agreement Form, Figure 1-5b © 2000 Prentice Hall
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Instrument Form, Figure 1-5c © 2000 Prentice Hall
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Database Example 3 State Licensing & Vehicle Registration – 52 Centers, 37 Offices, Hundreds of Users – 40 Tables – Data Needs: • Track drivers licensing issues – traffic violations, accidents, arrests, limitations
• Track auto registration issues – revenue, law enforcement
• Integrate the needs of many departments
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Database Example 4 Calvert Island Reservations Centre – – – –
Chamber of Commerce Promotional database provides access to data Customer and reservation database processes Data Needs: • Store multimedia data (photos, video clips, sound clips) • Must be Web / browser accessible • Uses Web technologies including HTTP, DHTML, and XML
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Comparison of Database Examples
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Figure 1-8
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DBMS Relationships
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Figure 1-9
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File-Processing Systems
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Figure 1-10
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Problems with FileProcessing Systems • • • • •
Data are separated and isolated Data are often duplicated Application program dependent Incompatible data files Difficult to understand
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File-Processing Systems Create problems with data integrity because data is:
duplicated duplicated duplicated duplicated Page 12
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Benefits of DBMS • • • •
Data is integrated Data duplication is reduced Data is program independent Data is easy to understand
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Database “a self-describing collection of
integrated records”
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Data Dictionary “a description of the structure of the database; data directory; metadata”
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Hierarchy of Data Elements
Figure Page 161-11 (a) File Processing (b) Database Systems © 2000 Prentice Hall
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Transactions “representations of events” – – – – Page 16
making a sale receiving a payment authorizing a new hire accepting a shipment
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Early Relational Model • 1970, E.F. Codd • Normalization Process • Compute Intensive
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Microcomputer DBMS • Ashton - Tate: dBase II, now Borland • Oracle, Focus, Ingress ported down • Paradox, Revelation, MDBS, Helix, Foxpro, Access built specifically for microcomputers Page 19
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Current Database Trends • • • •
Client-Server Applications Integration of Internet Technology Distributed Processing Object-Oriented DBMS
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