Toward quality data: an attribute-based approach
Decision Support Systems - Special issue on information technologies and systems
Communications of the ACM - Supporting community and building social capital
Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications)
Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications)
Improving the ETL process and maintenance of higher education information system data warehouse
WSEAS Transactions on Computers
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In this paper we discuss the procedure for horizontal fragmentation of data warehouse tables. This procedure is suitable when there are multiple independent organizational units that are producing data of the same structure that is eventually loaded into the consolidated fact table. In such cases, it is important for one organizational unit's errors not to influence the others. We show that horizontal fragmentation improves data warehouse's data quality, namely, completeness and timeliness data quality dimensions. The proposed procedure relies on metadata and is generic and applicable to any data warehouse.