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OLAP (online analytical processing) applications are based on a variety of aggregate queries on large-scale data. As aggregation is always performed on columns, traditional row-oriented storage, in which all the columns of a data row are stored together, has seriously restricted its performance. This paper proposes a dimension-oriented storage model based(More)
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