An optimized load algorithm of parallel data warehouse based on the cloud computing platform

The parallel database system (PDS) owns high performance and high availability and is suitable for mass data storing and processing. However, data loading performance is a bottleneck in PDS. To improve the data loading performance, this paper proposes an optimized load algorithm based on cloud platf...

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Bibliographic Details
Main Authors: Zhengqiu Yang, Tong Li, Jiapeng Xiu, Chen Liu
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Availability
Bipartite graph
Cloud computing
Cloud computing system
Database systems
Hadoop
Handheld computers
Loading
Optimized load algorithm
Parallel database system
Teradata EDW
Online Access:Request full text
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Description
Summary:The parallel database system (PDS) owns high performance and high availability and is suitable for mass data storing and processing. However, data loading performance is a bottleneck in PDS. To improve the data loading performance, this paper proposes an optimized load algorithm based on cloud platform which can promote the speed of load process. The paper gives the algorithm description, elaborates the algorithm implementation process through an example, and discusses the correctness of the algorithm at last.
ISSN:2376-5933
2376-595X
DOI:10.1109/CCIS.2012.6664438