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View all- Xu RZhu D(2012)An Approach for Data Warehouse Based on GridApplied Mechanics and Materials10.4028/www.scientific.net/AMM.263-266.1925263-266(1925-1928)Online publication date: Dec-2012
Many large organizations have developed data warehouses to support decision making. The data in a warehouse are subject oriented, integrated, time variant, and nonvolatile. A data warehouse contains five types of data: current detail data, older detail ...
Data warehousing methodologies share a common set of tasks, including business requirements analysis, data design, architectural design, implementation and deployment. Clinical data warehouses are complex and time consuming to review a series of patient ...
Data warehousing and Online Analytical Processing (OLAP) technologies are now moving onto handling complex data that mostly originate from the web. However, integrating such data into a decision-support process requires their representation in a form ...
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