The Design and Implementation of Agricultural Production Data Warehouse

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Abstract:

This paper designed a data warehouse model of agricultural production. And it built an effective and viable agricultural production data warehouse, by using some key technologies: multidimensional data analysis, cube, materialized view selection, materialized view maintenance. Finally, it provided a solution for the effective management and maintenance problems about high-capacity heterogeneous data.

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978-983

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March 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Inmon WH. Building the data warehouse [M]. 4th ed. [S. l. ], New York: Wiley, (2005).

Google Scholar

[2] Lin Yu. Principles and Practice of Data Warehouse [M], Posts & Telecom Press, 2003: 61-64.

Google Scholar

[3] Wang Shan. Data Warehouse & OLAP [M]. Beijing: Science Press. 1998. 19-44.

Google Scholar

[4] HongTao Bai, JiGui Sun, XiaoTao Wang, WanLi Zuo. Building of grain industry Data Warehouse [J]. Application Research of Computers, 2004, 12: 214-217.

Google Scholar

[5] Lijuan Zhou. The design and application of data warehouse during modern enterprises environment. The Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006 , V6241.

DOI: 10.1117/12.660005

Google Scholar