| Ravat F., Teste O., Zurfluh G., "Towards Data Warehouse Design", ACM CIKM'99, November 1999, Kansas City (Missouri, USA). |
....A data warehouse [11] stores large volumes of data, which are extracted from multiple, distributed, autonomous and heterogeneous data sources [4, 11, 24] and they are available for querying. 1. 1 The Problem In previous works, we specified a functional architecture of the decision support systems [18, 19], based on a dichotomy of two repositories; a data warehouse collects source data, which is relevant for the decision makers, and it keeps data changes over the time whereas data marts are deduced from the data warehouse and they are dedicated to specific analyse (each data mart is ....
....global source. It is not organised according to a multidimensional model [12] We justify this choice by the fact that this modelling generates a lot of redundant data 78 [4, 11, 12] limiting efficient warehouse management. We defined a flexible temporal object oriented data warehouse model in [18, 19]. Due to manager requirements, we provide two approaches for improving the decision making process. In the first approach the managers exploit the warehouse data to make global analyses. They are helped by database specialists who can directly query warehouse data using powerful and expressive ....
Ravat F., Teste O., Zurfluh G., "Towards Data Warehouse Design", ACM CIKM'99, November 1999, Kansas City (Missouri, USA).
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