Results 211 to 220 of about 6,205 (262)
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Proceedings of the International Conference & Workshop on Emerging Trends in Technology, 2011
DW is an information delivery system. It is a repository of integrated information, available for queries and analysis. Data & information are extracted from heterogeneous sources as they are generated. This makes it much easier & more efficient to run queries over data that originally came from different sources.
K. Kiran Dubey, Devidas Kalwale
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DW is an information delivery system. It is a repository of integrated information, available for queries and analysis. Data & information are extracted from heterogeneous sources as they are generated. This makes it much easier & more efficient to run queries over data that originally came from different sources.
K. Kiran Dubey, Devidas Kalwale
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A Survey on Temporal Data Warehousing
International Journal of Data Warehousing and Mining, 2009Data warehouses are information repositories specialized in supporting decision making. Since the decisional process typically requires an analysis of historical trends, time and its management acquire a huge importance. In this paper we consider the variety of issues, often grouped under term temporal data warehousing, implied by the need for ...
GOLFARELLI, MATTEO, RIZZI, STEFANO
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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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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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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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Proceedings of the ACM tenth international workshop on Data warehousing and OLAP, 2007
Data warehouses (DWs) have become very successful in many enterprises, but only for relatively simple and traditional types of data. It is now time to extend the benefits of DWs to a much wider range of data, making it feasible to literally "warehouse the world".
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Data warehouses (DWs) have become very successful in many enterprises, but only for relatively simple and traditional types of data. It is now time to extend the benefits of DWs to a much wider range of data, making it feasible to literally "warehouse the world".
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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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2011
Data warehouses, already established as the main repository of data in the enterprise, are now being used to store documents (e-mails, manuals, reports, etc.) so as to capture more domain information. In order to integrate information in natural language (so-called unstructured data) with information in the database (structured and semistructured data),
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Data warehouses, already established as the main repository of data in the enterprise, are now being used to store documents (e-mails, manuals, reports, etc.) so as to capture more domain information. In order to integrate information in natural language (so-called unstructured data) with information in the database (structured and semistructured data),
openaire +1 more source