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History of Implementation Data Models. Databases were: Early Business Computer Systems –Accounting functions - payroll, profit/loss statements Files of.

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Presentation on theme: "History of Implementation Data Models. Databases were: Early Business Computer Systems –Accounting functions - payroll, profit/loss statements Files of."— Presentation transcript:

1 History of Implementation Data Models

2 Databases were: Early Business Computer Systems –Accounting functions - payroll, profit/loss statements Files of data - file oriented (physical hardware) – sequential and random access (index)

3 In 1960's needed: Integrated centralized data structure Redundancy DBA's Data models

4 Mid 1960's - Hierarchical data model logical level - data relationships relationships structured as hierarchies parents and children child can have only 1 parent 1-to-many

5 Hierarchical Example department customer Employee project invoice store dep super worker invoice_line contact

6 Hierarchical DB Used pointers Any query through the data followed pointers manipulated 1 row at a time how about many-to-many relationships? Problems?

7 Late 1960's - Network Model many-to-many relationships more than 1 parent Owner-Member Relationship Instances or Occurrences Problems?

8 Network example Sales rep customer invoice store invoice _line contact

9 1970's Relational Model - E.F. Codd Rows and Columns Instead of 1 record at a time, files or sets at a time Easier to write queries Limitations?

10 Relational example Customer: CID storeID contact Invoice# Sales Rep: SRID Invoice # InvoiceLine

11 1980's Object-Oriented DBs Represent real-world entities as objects –Objects and relationships –Classes and instances – Specialization /Generalization – Inheritance, methods Similar to hierarchical Most versions based on relational Problems?

12 1990’s – Extend Relational Object-Relational DBs –Keep relational, but add OO features Additional Issues: –Distributed DBs –Data mining and data warehouses –Real-time Databases

13 2000’s – Recent Issues Data integration Database Security Web Databases & Information Retrieval XML Databases Mobile Databases Sensor Databases Data-intensive computing (Data Grids) Cloud computing - where do databases fit in?


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