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Research of Improve the Data Quality

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Submitted By Fuladino
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Research of improve the data quality
Abstract
Data Warehouse is a data collection which is subject-oriented, integrated, relativelyand relatively stable. and It can reflect the changes of history and support the management decision. It is an important segment to maintain the accuracy of the data warehouse. However, ETL is an important part to build data warehouse and occupy about 60 percent of the load. The improvement of the quality in the data warehouse helps to guarantee the reliability and also help the enterprise to summarize and use the data for a long period of time. There are many methods to improve the quality of data. However, in the view of the experience summary and practice accumulation in the practical application, the paper mainly focuses on the ETL dispatcher and way of check to improve data quality of data warehouse. First of all, the automation of data management which is realized by ETL principle make the data into a data stream., the database where the data exists become as starting point of ETL, saving the data warehouse with ultimate high-quality data as the end of ETL. Second, for the data which the ETL data flow has been formed to generate example, for the data which complete ETL processes structure to handling historical information, thus ensuring that the ETL flow can monitoring. Third, building the processing logic of ETL tectonic processes, is the core of constructing high-quality data, constructing the automated calibration procedures based on the actual experience , so that the calibration procedures can correct erroneous data when passing by, and finally achieving the goal of access the high-quality data. Finally, the implementation of the EMC project has proved that the illegal data in the form of ETL run through calibration procedures can be handled in accordance with the set in advance , ensuring the

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