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Grid-based Data Quality and Data Integration Research
Author(s) -
Xingman Li,
Chunqing Li,
Zhiyong Wang
Publication year - 2009
Publication title -
computer and information science
Language(s) - English
Resource type - Journals
eISSN - 1913-8997
pISSN - 1913-8989
DOI - 10.5539/cis.v2n4p175
Subject(s) - computer science , carry (investment) , enterprise information integration , enterprise data management , quality (philosophy) , grid , data integration , enterprise information system , resource (disambiguation) , data quality , process management , knowledge management , risk analysis (engineering) , enterprise systems engineering , enterprise architecture , database , finance , business , architecture , computer network , art , philosophy , metric (unit) , geometry , mathematics , epistemology , marketing , visual arts

Data information is important strategic enterprise resources, rational and effective use of the correct data to guide business leaders to make the right decision-making, enhance the competitiveness of enterprises. The data quality and the data integration, very important speaking of the enterprise, is the enterprise innovation development power. In order to improve the efficiency of data integration, we must permit multiple applications to share computing resources. The grid technology may step isomerism platform computing resource to carry on the work distribution and to carry out, uses the existing hardware property effectively or new highly effective, the economical hardware, may carry on highly effective to the data, expands economically, so that adjustment and optimization face enterprise's data transmission.

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