Fang Wei
Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
Si Hai-Ping
Colleges of Information and Management Science, Henan Agricultural University, Henan 450008, China
Wei Xiu-Ran
Colleges of Information and Management Science, Henan Agricultural University, Henan 450008, China
ABSTRACT
Different data integration and sharing architecture applied for different data management scenarios, therefore, universal data integration and sharing architecture structure is impossible. Furthermore, each data integration structure has different resource consumption because of their unique execution complexity. Agriculture data resources need architecture to select appropriate data storage structure and to adapt it with changing data management requirements. In this paper we propose efficient integration and sharing architecture based on Hadoop for agriculture data resources that supports customization and adaptation with changing data management needs. Data integration and sharing architecture are provided based on different contents, themes and users. The study will provide an efficient usage for agriculture big data.
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How to cite this article
Fang Wei, Si Hai-Ping and Wei Xiu-Ran, 2013. Study for Efficient Integration and Sharing Architecture for Agriculture Data Resources. Information Technology Journal, 12: 4184-4187.
DOI: 10.3923/itj.2013.4184.4187
URL: https://scialert.net/abstract/?doi=itj.2013.4184.4187
DOI: 10.3923/itj.2013.4184.4187
URL: https://scialert.net/abstract/?doi=itj.2013.4184.4187
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