Electronic Journal of Polish Agricultural Universities (EJPAU) founded by all Polish Agriculture Universities presents original papers and review articles relevant to all aspects of agricultural sciences. It is target for persons working both in science and industry,regulatory agencies or teaching in agricultural sector. Covered by IFIS Publishing (Food Science and Technology Abstracts), ELSEVIER Science - Food Science and Technology Program, CAS USA (Chemical Abstracts), CABI Publishing UK and ALPSP (Association of Learned and Professional Society Publisher - full membership). Presented in the Master List of Thomson ISI.
2004
Volume 7
Issue 1
Topic:
Geodesy and Cartography
ELECTRONIC
JOURNAL OF
POLISH
AGRICULTURAL
UNIVERSITIES
Bartonžk D. 2004. DATABASE DESIGN FOR THE MEASURING IN FIELD, EJPAU 7(1), #01.
Available Online: http://www.ejpau.media.pl/volume7/issue1/geodesy/abs-01.html

DATABASE DESIGN FOR THE MEASURING IN FIELD

Dalibor Bartonžk

 

ABSTRACT



The measuring in field is the most commonly used activity in various industrial branches. To be the results useful the data must be stored in a suitable database. There is a problem: to use either one of most of commercial database systems or to create the special purpose designed database? This question is discussed and an own approach of the database design is presented in this paper. The goal is the designed database with minimum of memory capacity occupied and the most rapidly information provided. It is supposed that the basic database design rules e.g. to avoid redundant data (normalization), ensure that the relationships among attributes are represented or facilitate the checking of updates for violation of database integrity constraints are respected. A special optimization method for common attributes reduction, for storing strings of variable length and for database reorganization is used. The database model was implemented in the information system for anticorrosive protection of

Key words: Database, object, measured values, quantities, relational model, E-R diagram, entities, common and individual attributes, equivalent classes, overlay table, optimization..