發(fā)布時間：2018-04-13 17:27

  本文選題：數(shù)據(jù)中心 + ETL�。� 參考：《中國煙草學(xué)報》2017年02期

【摘要】：以推廣福建煙草數(shù)據(jù)中心應(yīng)用及提高系統(tǒng)數(shù)據(jù)質(zhì)量為目的,結(jié)合福建煙草商業(yè)公司數(shù)據(jù)中心平臺營銷、專賣、物流、人力勞資、綜合計劃等多個部門的業(yè)務(wù)主題建設(shè)與分析應(yīng)用項目的具體需要,研究并提出了一種合適的數(shù)據(jù)中心數(shù)據(jù)質(zhì)量監(jiān)控方法。該方法首先在保證數(shù)據(jù)質(zhì)量的前提下成功將煙草公司源系統(tǒng)數(shù)據(jù)抽取到省公司數(shù)據(jù)倉庫中,然后在數(shù)據(jù)集市層主要利用星型關(guān)系完成數(shù)據(jù)模型設(shè)計作業(yè),最后在BI應(yīng)用中分析與展現(xiàn)了數(shù)據(jù)。該方法對整個數(shù)據(jù)中心的高效應(yīng)用起到了至關(guān)重要的作用。
[Abstract]:In order to promote the application of Fujian Tobacco data Center and improve the system data quality, combined with Fujian Tobacco Commercial Company data Center platform marketing, monopoly, logistics, labor and capital,In this paper, a suitable data quality monitoring method for data center is studied and put forward.Under the premise of guaranteeing the data quality, the method successfully extracts the data from the tobacco company source system into the provincial company data warehouse, and then completes the data model design by star relation in the data Mart layer.Finally, the data are analyzed and displayed in BI application.This method plays an important role in the efficient application of the whole data center.
【作者單位】： 福建省煙草公司漳州市公司 信息中心;
【分類號】：TP308
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本文編號：1745496