Generic data processing: a normalization exercise

This paper describes an exercise in generic data normalization theory using a data reification calculus base on the categorial approach to datatypes. We develop a relational data model in a functional language and then use transformations to refine it. The exercise removes data redundancy in close...

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Detalles Bibliográficos
Autores principales:	Necco, Claudia Mónica, Oliveira, J. Nuno
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2002
Materias:	Ciencias Informáticas Generic programming polytypic programming functional programming program calculation data reification Normal forms ADMINISTRATIVE DATA PROCESSING
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/23151
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-23151
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Generic programming polytypic programming functional programming program calculation data reification Normal forms ADMINISTRATIVE DATA PROCESSING
spellingShingle	Ciencias Informáticas Generic programming polytypic programming functional programming program calculation data reification Normal forms ADMINISTRATIVE DATA PROCESSING Necco, Claudia Mónica Oliveira, J. Nuno Generic data processing: a normalization exercise
topic_facet	Ciencias Informáticas Generic programming polytypic programming functional programming program calculation data reification Normal forms ADMINISTRATIVE DATA PROCESSING
description	This paper describes an exercise in generic data normalization theory using a data reification calculus base on the categorial approach to datatypes. We develop a relational data model in a functional language and then use transformations to refine it. The exercise removes data redundancy in close similarity to conventional relational techniques, which extract functional dependences by schema decomposition [Mai83]. Finally the model is extended using the principles of generic programming, suggesting how to scale up normalization theory to arbitrary data.
format	Objeto de conferencia Objeto de conferencia
author	Necco, Claudia Mónica Oliveira, J. Nuno
author_facet	Necco, Claudia Mónica Oliveira, J. Nuno
author_sort	Necco, Claudia Mónica
title	Generic data processing: a normalization exercise
title_short	Generic data processing: a normalization exercise
title_full	Generic data processing: a normalization exercise
title_fullStr	Generic data processing: a normalization exercise
title_full_unstemmed	Generic data processing: a normalization exercise
title_sort	generic data processing: a normalization exercise
publishDate	2002
url	http://sedici.unlp.edu.ar/handle/10915/23151
work_keys_str_mv	AT neccoclaudiamonica genericdataprocessinganormalizationexercise AT oliveirajnuno genericdataprocessinganormalizationexercise
bdutipo_str	Repositorios
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Generic data processing: a normalization exercise

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