Results 251 to 260 of about 23,694,558 (297)

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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Data Warehouse [PDF]

, 2008
Data warehouse has give solutions to many organizations in managing informations for support in making decision process. The implementation of data warehouse must give attention to several factors in order to work successfully.
Suparto, Darudiato
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The Data Warehouse of Newsgroups

1999
Electronic newsgroups are one of the primary means for the dissemination, exchange and sharing of information. We argue that the current newsgroup model is unsatisfactory, especially when posted articles are relevant to multiple newsgroups. We demonstrate that considerable additional flexibility can be achieved by managing newsgroups in a data ...
Himanshu Gupta 0001, Divesh Srivastava
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Data Warehouses Federation as a Single Data Warehouse

2016
In this paper author presents an experiment, which shows that it is possible to form a federation of data warehouses that may simulate effectively one, “super” data warehouse. There is no need to create complete ETL tool to load data from source data warehouses into one, dedicated data warehouse.
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Fundamentals of Data Warehouses

2000
This book presents the first comparative review of the state-of-the-art and the best current practices of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, metadata management, quality assessment, and design optimization. A conceptual framework is presented by which the architecture and quality of
Jarke Matthias, LENZERINI, Maurizio, Vassiliou Yannis, Vassiliadis Panos   +3 more
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From Traditional Data Warehouse To Real Time Data Warehouse

2017
The Traditional data warehouse did not contain data as today. Hence, it is difficult to retrieve these data and treat them. Furthermore, its content is not updated, which may lead to bad decisions. Data are typically loaded from conventional operational systems.
Senda Bouaziz, Ahlem Nabli, Faïez Gargouri   +2 more
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Stonebraker on data warehouses

Communications of the ACM, 2011
The Communications Web site, http://cacm.acm.org, features more than a dozen bloggers in the BLOG@CACM community. In each issue of Communications , we'll publish selected posts or excerpts. twitter Follow us on Twitter at http://twitter ...
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Minimizing detail data in data warehouses

1998
Data warehouses collect and maintain large amounts of data from several distributed and heterogeneous data sources. Because of security reasons, operational requirements, and technical feasibility it is often impossible for data warehouses to access the data sources directly.
Akinde, M., Jensen, Ole Guttorm, Böhlen, M.   +2 more
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Feeding data warehouses

Proceedings 1999 International Symposium on Database Applications in Non-Traditional Environments (DANTE'99) (Cat. No.PR00496), 2003
Data warehouses have become very popular with academics, industry, and users. The idea of a global repository for strategic information is seen as a sesame door to a world of magic, where spontaneously generated information breakthroughs turn ordinary business into a multimillionaire production activity.
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Data warehouse architecture classification

2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2017
The purpose of this study is to give an overlook and comparison of best known data warehouse architectures. Single-layer, two- layer, and three-layer architectures are structure-oriented one that are depending on the number of layers used by the architecture.
G. Blazic, Patrizia Poscic, Danijela Jaksic   +2 more
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