Results 261 to 270 of about 16,300 (303)
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The Data Warehouse of Newsgroups
1999Electronic 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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Contextualizing data warehouses with documents
Decision Support Systems, 2008Current 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 +3 more
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Data Warehouses Federation as a Single Data Warehouse
2016In 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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Stonebraker on data warehouses
Communications of the ACM, 2011The 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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Data warehouse architecture classification
2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2017The 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 +2 more
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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 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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From Traditional Data Warehouse To Real Time Data Warehouse
2017The 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 +2 more
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Data Warehouses: Next Challenges
2012Data Warehouses are a fundamental component of today’s Business Intelligence infrastructure. They allow to consolidate heterogeneous data from distributed data stores and transform it into strategic indicators for decision making. In this tutorial we give an overview of current state of the art and point out to next challenges in the area.
Vaisman, Alejandro Ariel +1 more
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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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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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Knowledge discovery in data warehouses
ACM SIGMOD Record, 2000As 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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