DocumentCode
2459749
Title
HDW: A High Performance Large Scale Data Warehouse
Author
You, Jinguo ; Xi, Jianqing ; Zhang, Chuan ; Guo, Gengqi
Author_Institution
Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
200
Lastpage
202
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.
Keywords
XML; data mining; data warehouses; distributed databases; Google infrastructure; OLAP analysis; XMLA standard interface; high performance large scale distributed data warehouse; Clustering algorithms; Concurrent computing; Costs; Data visualization; Data warehouses; High performance computing; Large-scale systems; Partitioning algorithms; Performance analysis; Search engines; Bigtable; GFS; MapReduce; data warehouse; high performance;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Computational Sciences, 2008. IMSCCS '08. International Multisymposiums on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3430-5
Type
conf
DOI
10.1109/IMSCCS.2008.16
Filename
4760324
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