HDW: A High Performance Large Scale Data Warehouse

Jinguo You, Jianqing Xi, Chuan Zhang, Gengqi Guo
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引用次数: 10

Abstract

As data warehouses grow in size, ensuring adequate database performance will be a big challenge. This paper presents a solution, called HDW, based on Google infrastructure such as GFS, Bigtable, MapReduce to build and manage a large scale distributed data warehouse for high performance OLAP analysis. In addition, HDW provides XMLA standard interface for front end applications. The results show that HDW achieves pretty good performance and high scalability, which has been demonstrated on at least 18 nodes with 36 cores.
HDW:高性能大规模数据仓库
随着数据仓库规模的增长,确保足够的数据库性能将是一个巨大的挑战。本文提出了一种基于GFS、Bigtable、MapReduce等Google基础架构的HDW解决方案,构建并管理一个用于高性能OLAP分析的大规模分布式数据仓库。此外,HDW还为前端应用程序提供了XMLA标准接口。结果表明,HDW实现了相当好的性能和高可扩展性,这已经在至少18个36核节点上得到了证明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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