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Refreshing File Aggregate of Distributed Data Warehouse in Sets of Electric Apparatus
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作者 于宝琴 王太勇 +3 位作者 张君 周明 何改云 李国琴 《Transactions of Tianjin University》 EI CAS 2006年第3期174-179,共6页
Integrating heterogeneous data sources is a precondition to share data for enterprises. Highly-efficient data updating can both save system expenses, and offer real-time data. It is one of the hot issues to modify dat... Integrating heterogeneous data sources is a precondition to share data for enterprises. Highly-efficient data updating can both save system expenses, and offer real-time data. It is one of the hot issues to modify data rapidly in the pre-processing area of the data warehouse. An extract transform loading design is proposed based on a new data algorithm called Diff-Match,which is developed by utilizing mode matching and data-filtering technology. It can accelerate data renewal, filter the heterogeneous data, and seek out different sets of data. Its efficiency has been proved by its successful application in an enterprise of electric apparatus groups. 展开更多
关键词 distributed data warehouse Diff-Match algorithm KMP algorithm file aggregates extract transform loading
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