A Methodology for Handling Data Errors and Inconsistencies in Database Conversions

Abstract

A database management system (DBMS) can have numerous errors and inconsistencies in its data. Examples of errors and inconsistencies that may be contained in a DBMS are: Referential integrity violations, logical inconsistencies, redundancies and out-of-range values. During a conversion of database management systems, the errors and inconsistencies in the source system must be corrected so the data entered into the new target DBMS will be accurate. The goal of this thesis is to examine a source database management system to determine what errors and inconsistencies are possible, to propose a methodology to detect them, and to correct such errors and inconsistencies prior to entering the data into the target DBMS. In applying my proposals, the thesis will examine the specific systems utilized by the United States Military Academy (USMA) at West Point, New York. The Academy uses a UNISYS 1100/72 mainframe computer in support of its existing network model DBMS. West Point proposes to convert network model to a relational model system. The thesis will also address the general applicability of this methodology to other database management system conversions.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1990
Accession Number
ADA232113

Entities

People

  • Mark R. Hendrickson

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Application Software
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Database Management Systems
  • Databases
  • Instructors
  • Military Training
  • New York
  • Relational Database Management Systems
  • Relational Databases
  • Schools
  • Social Security
  • Students
  • United States
  • United States Military Academy

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Geodesy