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European Journal of Information Systems, 2001
(2001). Oracle8i Data Warehousing. European Journal of Information Systems: Vol. 10, No. 1, pp. 67-67.
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(2001). Oracle8i Data Warehousing. European Journal of Information Systems: Vol. 10, No. 1, pp. 67-67.
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International Journal of Data Warehousing and Mining
, 20141 Elasticity in Cloud databases and Their Query Processing Goetz Graefe, Research in Business Intelligence, Hewlett-Packard Laboratories, Palo Alto, CA, USA Anisoara Nica, SQL Anywhere Research and Development, Sybase (An SAP Company), Waterloo, ON ...
M. Gholamian
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Data Warehousing with Environmental Data
2007In this paper, the results of the project “Conception of an Environmental Data W” are presented. The actual situation at the Volkswagen AG is shown and the analysis phase is described. After discussing the most important problems that occurred during the project, some of them special to environmental data, it is described what was achieved and what has
Ansgar Burmann, Jorge Marx Gómez
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Inconsistencies in data warehousing
Proceedings 1999 International Symposium on Database Applications in Non-Traditional Environments (DANTE'99) (Cat. No.PR00496), 2003In the paper we give several existence conditions under which different types of inconsistencies can occur in a data warehouse and propose a classification of these inconsistencies based on their sources. Every type of inconsistency can be eliminated, or at least minimized, at various stages of building a data warehouse.
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Data modeling styles in data warehousing
2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014The paper presents a coordinated set of data modeling styles relevant for data warehouse design in the context of relational databases. The scope of presented models covers: a) entity relationship models of existing relational DB sources, b) logical data vault model for integrated enterprise data warehouses as a system of records, c) dimensional fact ...
Vladan M. Jovanovic +2 more
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2008
Data warehouses are helping resolve a major problem that has plagued decision support applications over the years — a lack of good data. Top management at 3M realized that the company had to move from being product-centric to being customer savvy. In response, 3M built a terabyte data warehouse (global enterprise data warehouse) that provides thousands
Shashi Shekhar, Hui Xiong
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Data warehouses are helping resolve a major problem that has plagued decision support applications over the years — a lack of good data. Top management at 3M realized that the company had to move from being product-centric to being customer savvy. In response, 3M built a terabyte data warehouse (global enterprise data warehouse) that provides thousands
Shashi Shekhar, Hui Xiong
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2005
Data Warehousing is now a well-established part of the business and scientific worlds. However, up until recently, data warehouses were restricted to modeling essentially numerical data – examples being sales figures in the business arena (e.g. Wal-Mart’s data warehouse) and astronomical data (e.g.
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Data Warehousing is now a well-established part of the business and scientific worlds. However, up until recently, data warehouses were restricted to modeling essentially numerical data – examples being sales figures in the business arena (e.g. Wal-Mart’s data warehouse) and astronomical data (e.g.
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2000
Data warehouse [2, 4, 5, 6] is an integrated repository derived from multiple source (operational and legacy) databases. The data warehouse is created by either replicating the different source data or transforming them to new representation. This process involves reading, cleaning, aggregating and storing the data in the warehouse model.
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Data warehouse [2, 4, 5, 6] is an integrated repository derived from multiple source (operational and legacy) databases. The data warehouse is created by either replicating the different source data or transforming them to new representation. This process involves reading, cleaning, aggregating and storing the data in the warehouse model.
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Introduction To The Minitrack On Data Warehousing
Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers, 1999Data warehousing continues to grow in importance. Surveys consistently rank it as one of the most important strategic initiatives in companies today. Customer relationship management, performance management, e-commerce, and connecting companies along the supply chain all rely on data warehousing. Data warehousing has moved from being an innovation in a
Barbara H. Wixom +2 more
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Data-Warehousing im Gesundheitswesen (Data Warehousing in Health Care)
it - Information Technology, 2003Zusammenfassung Statistische Datenanalysen im Gesundheitswesen zeichnen sich durch ihren explorativen Charakter und die Komplexität der statistischen Verfahren aus. Ein darauf abgestimmtes multidimensionales Datenmodell, das die Integration spezieller statistischer Verfahren und die Definition von ad-hoc-Gruppierungen zur Laufzeit ...
Jürgen Meister +3 more
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