Results 261 to 270 of about 23,631,400 (298)

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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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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Contextualizing data warehouses with documents

Decision Support Systems, 2008
Current data warehouse and OLAP technologies are applied to analyze the structured data that companies store in databases. The context that helps to understand data over time is usually described separately in text-rich documents. This paper proposes to integrate the traditional corporate data warehouse with a document warehouse, resulting in a ...
Juan Manuel Pérez-Martínez, Rafael Berlanga Llavori, María José Aramburu Cabo, Torben Bach Pedersen   +3 more
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From Data Warehouse to Information Warehouse

Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018
Data and information are different constructs and Data become information when they supply a content from several elements, generating thus a meaning. From this observation, in this paper, we introduce the paradigm of information warehousing and explain our motivation. We propose a generic and original information warehouse architecture for the storage
Hadjer Moulai, Habiba Drias
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Knowledge discovery in data warehouses

ACM SIGMOD Record, 2000
As the size of data warehouses increase to several hundreds of gigabytes or terabytes, the need for methods and tools that will automate the process of knowledge extraction, or guide the user to subsets of the dataset that are of particular interest, is becoming prominent.
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Deductive Data Warehouses

2019
This chapter presents the concept of “deductive data warehouses.” Deductive data warehouses rely on deductive databases but use a data warehouse in the background instead of a database. The authors show how Datalog, as a logic programming language, can be used to perform on-line analytical processing (OLAP) analysis on data.
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Design of a reference architecture for developing smart warehouses in industry 4.0

Computers in Industry, 2021
Bedir Tekinerdogan, Cagatay Caṫal
exaly  

The role of robotization in work design: a comparative case study among logistic warehouses

International Journal of Human Resource Management, 2023
Hannah Ariane Berkers, Sonja Rispens, Pascale le Blanc   +2 more
exaly  

Classifying healthcare warehouses according to their performance. A Cluster Analysis-based approach

International Journal of Logistics Management, 2022
Giulio Mangano, Carlo Rafèle, Anna Corinna Cagliano   +2 more
exaly