Grid-based Data Quality and Data Integration Research
- Xingman Li
- Chunqing Li
- Zhiyong Wang
Abstract
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.
- Full Text: PDF
- DOI:10.5539/cis.v2n4p175
Journal Metrics
WJCI (2022): 0.636
Impact Factor 2022 (by WJCI): 0.419
h-index (January 2024): 43
i10-index (January 2024): 193
h5-index (January 2024): N/A
h5-median(January 2024): N/A
( The data was calculated based on Google Scholar Citations. Click Here to Learn More. )
Index
- Academic Journals Database
- BASE (Bielefeld Academic Search Engine)
- CiteFactor
- CNKI Scholar
- COPAC
- CrossRef
- DBLP (2008-2019)
- EBSCOhost
- EuroPub Database
- Excellence in Research for Australia (ERA)
- Genamics JournalSeek
- Google Scholar
- Harvard Library
- Infotrieve
- LOCKSS
- Mendeley
- PKP Open Archives Harvester
- Publons
- ResearchGate
- Scilit
- SHERPA/RoMEO
- Standard Periodical Directory
- The Index of Information Systems Journals
- The Keepers Registry
- UCR Library
- Universe Digital Library
- WJCI Report
- WorldCat
Contact
- Chris LeeEditorial Assistant
- cis@ccsenet.org