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In a traditional data warehouse, "subject oriented" means that all the measurements relating to the same real-world event or object are linked together. The measurements are classified and navigated by "subject". But in a multi-use data warehouse, users want to classify and navigate the measurements by mutable cross-classifications flexibly. It is hard to find a universal "subject"...
In a traditional data warehouse, the “subject oriented” means that all the elements (data attributes) relating to the same real-world event or object are linked together, the elements are classified and navigated by “subject”. But in scientific data warehouse, elements are “faceted classifications oriented”, users want to classify and navigate the elements by mutable classifications flexibly. It is...
There are many new challenges in building Scientific Data Management System (SDMS), and the most initial and important one of them is designing a reasonably and effectively data architecture. The data architecture should focus on massive metadata, complex data flow, multi-classification data, various data productions and uniform query. Based on the applied projects, we present the classificatory criterions,...
This paper analyzes the main characteristics, benefits, and disadvantages of existing traditional ETL (extraction, transformation, loading) methods, and summaries some factors affecting the performance of ETL tools. Then, a new ETL approach, E-LT (extraction, loading and transformation), is proposed. The E-LT approach applies database mapping technique to realize that loading stage and transformation...
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