Refreshing File Aggregate of Distributed Data Warehouse in Sets of Electric Apparatus

摘要

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.