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1998 (EN)
Architecture and quality in data warehouses (EN)

Quix, C (EN)
Jeusfeld, MA (EN)
Jarke, M (EN)
Vassiliadis, P (EN)

N/A (EN)

Most database researchers have studied data warehouses (DW) in their role as buffers of materialized views, mediating between update intensive OLTP systems and query-intensive decision support. This neglects the organizational role of data warehousing as a means of centralized information flow control. As a consequence, a large number of quality aspects relevant for data warehousing cannot be expressed with the current DW mete models. This paper makes two contributions towards solving these problems. Firstly, we enrich the meta data about DW architectures by explicit enterprise models. Secondly, many very different mathematical techniques for measuring or optimizing certain aspects of DW quality are being developed. We adapt the Goal-Question-Metric approach from software quality management to a meta data management environment in order to link these special techniques to a generic conceptual framework of DW quality. Initial feedback from ongoing experiments with a partial implementation of the resulting meta data structure in three industrial case studies provides a partial validation of the approach. (EN)

journalArticle

Data Management (EN)
Data Warehouse (EN)
Industrial Case Study (EN)
Goal Question Metric (EN)
Data Structure (EN)
Enterprise Modeling (EN)
Information Flow Control (EN)
meta model (EN)
Decision Support (EN)
Conceptual Framework (EN)
Data Warehousing (EN)
Materialized Views (EN)
Software Quality Management (EN)

Εθνικό Μετσόβιο Πολυτεχνείο (EL)
National Technical University of Athens (EN)

ADVANCED INFORMATION SYSTEMS ENGINEERING (EN)

1998


SPRINGER-VERLAG BERLIN (EN)



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