Using Data Normalization Techniques for Effective Data Base Design

Abstract

Today's users want to access their data through fourth-generation languages, or 4GLs, and microcomputers. More flexible data bases are required to satisfy this growing need. These data bases must be based on the data as perceived by users, not as viewed by a system—the normalized approach to data base design provides for this. Data bases can be built that satisfy user needs and establish a logical design done only once regardless of the DBMS or computer system that will subsequently use the data.

Additional information

Notes on contributors

Thomas A. Turk

Thomas A. Turk is manager of data administration at a Fortune 200 company. He has spent six years in data administration work at several organizations, including AT&T, and has practical experience implementing the normalized approach in IMS and System 2000 data bases.