Data warehousing - strategies, technologies, and techniques
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منابع مشابه
Intelligent Database Designs and Query Considerations
Database optimization is one of the major concerns and the most important factor that needs to be considered when designing a very large database system. Database optimization and evaluation are usually concentrated on the query language and the organization of data. The recent advances in technologies of data-warehousing architecture, online analytical processing (OLAP), and data mining demand...
متن کاملData Warehousing, Data Mining, OLAP and OLTP Technologies Are Indispensable Elements to Support Decision-Making Process in Industrial World
This paper provides an overview of Data warehousing, Data Mining, OLAP, OLTP technologies, exploring the features, new applications and the architecture of Data Warehousing and data mining. The data warehouse supports on-line analytical processing (OLAP), the functional and performance requirements of which are quite different from those of the online transaction processing (OLTP) applications ...
متن کاملWarehousing complex data from the web
The data warehousing and OLAP technologies are now moving onto handling complex data that mostly originate from the Web. However, intagrating such data into a decision-support process requires their representation under a form processable by OLAP and/or data mining techniques. We present in this paper a complex data warehousing methodology that exploits XML as a pivot language. Our approach inc...
متن کاملKnowledge Discovery and Geographical Databases
Geographic data are characterized by huge volumes, lack of standards, multiplicity of data sources, multiscale requirements, and variability in time. These characteristics make geographic information complex and uncertain. At the same time, the important growth of the quantity of data manipulated and the necessity to make rapid decisions imposed the appearance and the great progress of new tool...
متن کاملTemporal Data Warehousing: Approaches and Techniques
Data 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 accurately describing how information changes over ...
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تاریخ انتشار 1996