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Effects of aggregation and data size on query performance and memory requirements of a Data Warehouse

机译:聚合和数据大小对数据仓库查询性能和内存需求的影响

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Aggregation is a key technique to enhance query response time in a large data warehouse. This paper analyzes its effects on query performance and memory requirements. A grocery shop data warehouse has been designed for simulation purpose using Red Gate Data Generator tool along with the Business Intelligence Development Studio of Microsoft SQL Server 2008. For a desired performance gain, the requirements on aggregate and its impact on memory usage has been studied. The effects of variation in size of base cube of a Data Warehouse on memory requirement and performance gain have also been analyzed.
机译:聚合是提高大型数据仓库中查询响应时间的关键技术。本文分析了它对查询性能和内存需求的影响。已使用Red Gate数据生成器工具以及Microsoft SQL Server 2008的Business Intelligence Development Studio设计了用于仿真目的的杂货店数据仓库。为了获得理想的性能,已经研究了聚合要求及其对内存使用的影响。还分析了数据仓库基本多维数据集大小的变化对内存需求和性能增益的影响。

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