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Data Warehouse Testing

International Journal of Data Warehousing and Mining, 2011
Testing is an essential part of the design life-cycle of a software product. Although most phases of data warehouse design have received considerable attention in the literature, not much research has been conducted concerning data warehouse testing. In this paper, the authors introduce a number of data mart-specific testing activities, classify them ...
GOLFARELLI, MATTEO, RIZZI, STEFANO
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Data Warehouse Fixer: Fixing Inconsistencies in Data Warehouses

2011 30th International Conference of the Chilean Computer Science Society, 2011
Dimensions in Data Warehouses (DWs) are set of elements connected by a hierarchical relationship. Usually, dimensions are required to be strict and covering to support summarizations at different levels of granularity. A dimension is strict if all they rollup relations are functions, and is covering if every element in a category is connected with an ...
Mónica Caniupán Marileo   +1 more
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Complements for data warehouses

Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337), 1999
Views over databases have recently regained attention in the context of data warehouses, which are seen as materialized views. In this setting, efficient view maintenance is an important issue, for which the notion of self-maintainability has been identified as desirable.
Dominique Laurent 0001   +3 more
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Klinisches Data Warehouse

Informatik-Spektrum, 2016
Ubersicht Das Ziel eines kDW ist, die fur die Behandlung von Patienten routinemasig erhobenen Daten zusatzlich fur die Forschung und in speziellen Fallen auch fur die Behandlung nutzbar zu machen [1]. Die wesentlichen Schritte umfassen die Anonymisierung bzw.
Thomas Tolxdorff, Frank Puppe
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Data warehouse testing

Proceedings of the Joint EDBT/ICDT 2013 Workshops, 2013
During the development of the data warehouse (DW), too much data is transformed, integrated, structured, cleansed, and grouped in a single structure that is the DW. These various types of changes could lead to data corruption or data manipulation. Therefore, DW testing is a very critical stage in the DW development process.A number of attempts were ...
Neveen ElGamal   +2 more
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Trajectory Data Warehouses

2013
The previous chapter focused on the analysis of the spatial features of static objects such as stores, cities, or states, where by static we mean that the spatial features of these objects do not change (or change exceptionally) across time. However, there is a wide range of applications that require the analysis of the so-called moving objects, that ...
Vaisman, Alejandro Ariel   +1 more
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Deductive Data Warehouses

International Journal of Data Warehousing and Mining, 2014
This paper presents the idea of deductive data warehouses. Deductive data warehouses rely on deductive databases but instead of a database in the background a data warehouse is used. The authors show how Datalog (as a logic programming language) can be used to perform OLAP analysis on data.
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Minable Data Warehouse

2009
Data warehouses have been widely used in various capacities such as large corporations or public institutions. These systems contain large and rich datasets that are often used by several data mining techniques to discover interesting patterns.
David Morgan, Jai W. Kang, James M. Kang
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