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Bad Data 技術手冊
book

Bad Data 技術手冊

by Q. Ethan McCallum
September 2013
Intermediate to advanced
264 pages
5h
Chinese
GoTop Information, Inc.
Content preview from Bad Data 技術手冊
前後連貫(Coherent
|
227
採取行動。我們到現在所討論的幾乎全部都是驗證:當你已經評估完整性之後,你應該
要採取什麼行動?在記錄層級的完整性的狀況中,這很簡單;要不就是你擁有全部的記
錄,要不就是沒有,而你接著要找到它們並且回填你的資料集合。但若你發現 10%(或
是任何對你有意義的門檻值)的記錄擁有遺失的值,而導致有些查詢無法被回答時,你
應該怎麼做?這些選擇通常會落在以下其中一個分類中:
修復遺失的資料。很好,若你能這麼做是最好的,但這並不總是可行或是實際的。
刪除導致問題的記錄。若你的查詢集合必須要互相一致時,這是個好選擇。
標記有問題的記錄,並且在查詢結果中附註它們的不完整性。
什麼都不做。依據你的查詢,你也許能夠直接執行分析,然而,在我的經驗中,這
通常不是個好的想法。
這邊只有四個選擇。一定還有更多選擇,但作出驗證以及後續行動之後,能夠節省相當
大的痛苦。
前後連貫(Coherent
假設你的資料現在是完整的,或至少如你所需要的完整,下一步是什麼?你準備好要找
出隱藏在你的資料中的金礦了嗎?還沒這麼快—我們還有一些事情需要思考。在完整性
之後,下一個面向是
前後連貫
Coherent
。簡單來說:
你的資料相對它本身來說是否
合理
更詳細的說明,你要確定這些互相相關的記錄是否是一致的,並且遵守資料集合的內部
邏輯。第一眼看起來,以資料分析的前提來說這是個有點多餘的概念;畢竟,關聯式資
料庫就是設計用來保證前後連貫的,如參考完整性(referential integrity ...
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Publisher Resources

ISBN: 9789862768952