期刊文献+

基于SOA和ETL的信息整合研究 被引量:2

Investigation of Information Integration based on SOA and ETL
下载PDF
导出
摘要 随着我国信息技术的发展,企业的信息化建设程度得到了较大的提高,随之产生了不少的问题。该文针对目前很多行业在信息化建设中面临着的信息孤岛、数据分散、应用软件重复购置等难题,从不同角度提供了信息数据整合方案:从软件架构方面建议采用面向服务架构SOA技术;从数据集成角度建议采用ETL数据处理方法;也可以采用两者相结合的方法,即SOA架构结合数据仓库。 With the development of IT, the extent of enterprise information construction has been greatly improved, but many problems have also come along. At present lots of enterprises are facing such problems as information island, scattered data, software applica- tion etc. The thesis provides information analysis and data integration scheme for the enterprises. That is, software framework proposes service-oriented architecture (SOA) can be used; another proposal is ETL data integrated approach. Of course, the combination of the two can be also adopted, namely SOA framework + Data warehouse method.
出处 《实验科学与技术》 2008年第4期64-66,150,共4页 Experiment Science and Technology
关键词 面向服务的体系架构 数据抽取 转换 加载 service-oriented architecture extract transform loading
  • 引文网络
  • 相关文献

参考文献2

二级参考文献24

  • 1Aebi, D., Perrochon, L. Towards improving data quality. In: Sarda, N.L., ed. Proceedings of the International Conference on Information Systems and Management of Data. Delhi, 1993. 273~281. 被引量:1
  • 2Wang, R.Y., Kon, H.B., Madnick, S.E. Data quality requirements analysis and modeling. In: Proceedings of the 9th International Conference on Data Engineering. Vienna: IEEE Computer Society, 1993. 670~677. 被引量:1
  • 3Rahm, E., Do, H.H. Data cleaning: problems and current approaches. IEEE Data Engineering Bulletin, 2000,23(4):3~13. 被引量:1
  • 4Galhardas, H., Florescu, D., Shasha, D., et al. AJAX: an extensible data cleaning tool. In: Chen, W.D., Naughton, J.F., Bernstein, P.A., eds. Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data. Texas: ACM, 2000. 590. 被引量:1
  • 5Hernandez, M.A., Stolfo, S.J. Real-World data is dirty: data cleansing and the merge/purge problem. Data Mining and Knowledge Discovery, 1998,2(1):9~37. 被引量:1
  • 6Lee, M.L., Ling, T.W., Lu, H.J., et al. Cleansing data for mining and warehousing. In: Bench-Capon, T., Soda, G., Tjoa, A.M., eds. Database and Expert Systems Applications. Florence: Springer, 1999. 751~760. 被引量:1
  • 7Monge, A.E. Matching algorithm within a duplicate detection system. IEEE Data Engineering Bulletin, 2000,23(4):14~20. 被引量:1
  • 8Monge, A.E., Elkan, C. The field matching problem: algorithms and applications. In: Simoudis, E., Han, J.W., Fayyad, U., eds. Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining. Oregon: AAAI Press, 1996. 267~270. 被引量:1
  • 9Savasere, A., Omiecinski, E., Navathe, S.B. An efficient algorithm for mining association rules in large databases. In: Dayal, U., Gray, P., Nishio, S., eds. Proceedings of the 21st International Conference on Very Large Data Bases. Zurich: Morgan Kaufmann, 1995. 432~444. 被引量:1
  • 10Srikant, R., Agrawal, R. Mining Generalized Association Rules. In: Dayal, U., Gray, P., Nishio, S., eds. Proceedings of the 21st International Conference on Very Large Data Bases. Zurich: Morgan Kaufmann, 1995. 407~419. 被引量:1

共引文献267

同被引文献23

引证文献2

二级引证文献12

;
使用帮助 返回顶部