捕獲數據沿襲包示例 2. The capture data lineage sample is a package that captures audit information捕獲數據沿襲示例是用來捕獲審核信息的包。 內有更多更詳細關于data lineage的造句" />

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data lineage造句

"data lineage"是什么意思   

例句與造句

  1. Capture data lineage package sample
    >捕獲數據沿襲包示例
  2. The capture data lineage sample is a package that captures audit information
    捕獲數據沿襲示例是用來捕獲審核信息的包。
  3. To see the execution results of the capture data lineage sample package , run the following transact - sql query
    若要查看捕獲數據沿襲示例包的執(zhí)行結果,請運行以下transact - sql查詢:
  4. Considering the inefficiencies above , in this paper we introduce data lineage mechanism into the process of data cleaning
    針對以上不足,本文在數據清理過程中引入數據沿襲機制。
  5. Data lineage includes two parts : ( 1 ) the set of source data items which exactly produces the warehouse data item ; ( 2 ) the processes which contribute to the set of source data items
    數據志包含兩個部分:起始數據集和作用在該數據集上的數據處理過程。獲取數據志的過程稱為數據志跟蹤( datalineagetracing ) 。
  6. It's difficult to find data lineage in a sentence. 用data lineage造句挺難的
  7. The exact history of a given warehouse data item , including the complete description of its acquisition , transformation and integration is termed the data lineage
    在數據倉庫系統(tǒng)中,一個倉庫數據項的精確的歷史沿革,即該數據項從獲取、轉換、集成到現狀這一完整過程的相關描述和信息,稱為數據志( datalineage ) 。
  8. These theorems is the basis and guideline for constructing and verifying the weak derivation set according to the invertibilrty of attribute mapping , thus improves the basic theories of data lineage tracing
    這些定理為作者根據屬性映射的可逆性構造和驗證弱起源集提供了基本依據和指導思想,豐富了數據志跟蹤的基本理論。
  9. Next , this thesis presents a data lineage tracing approach , wivem ( weak inversion and verification of attribute mapping ) , which can calculate ( attribute - level ) derivation set of attribute mapping
    作者根據可逆與弱可逆的思想,提出了一種“基于屬性映射的弱逆與驗證的方法( wivem , weakinversionandverificationofattributemapping ) ”求解屬性映射的(屬性級)起源集。
  10. Following is the primary work and contributions of this thesis . first , the concepts about data lineage tracing are completed and refined , and the formal definition of derivation set and supplementary set are provided . these definitions form the basis for derivation set tracing
    本文的主要工作與創(chuàng)新有以下幾個方面:作者首先對與數據志相關的概念進行了完善和細化,給出了起源集的形式化定義,并提出了補集無關和補集相關的概念。
  11. We first constructed five traceable opratores and confined the detailed syntax of these five opratores so that we can explain each result of opratores and can construct the multi - opratores data cleaning program . through propagate the key information of each opratores , the mechanism of data lineage can trace the data cleaning program , which construct over the traceable oprators so that we can analysis and explain the cleaning result . according to the analysis and research of the incremental mode and conflict of data modification , we can correct and improve the exceptions which appear during the data modification
    接下來的數據沿襲機制通過傳遞各個操作的標識值,實現了對構造于可追溯操作基礎上的數據清理程序的追蹤,從而提供了對數據清理程序執(zhí)行過程及結果的分析和解釋功能;同時利用交互式數據修改功能以及時糾正和改進數據清理過程中所出現的異常,并對數據修改過程中所涉及到的增量執(zhí)行模式及操作沖突進行了充分地分析與研究。
  12. Beginning with the formal definition of derivation set , this thesis finds the general laws of derivation set , proves the theorems about derivation set , proposes an approach for weak inversion and verification based on attribute mapping to trace data lineage , gives a series of arithmetic for data lineage tracing , describes the basic processes of data lineage , and then forms systematic theories and approach
    作者從定義起源集入手,找出了起源集的一般規(guī)律,證明了有關起源集的定理,提出了一種“基于屬性映射的弱逆與驗證”的起源集跟蹤方法,給出了一系列有關起源集跟蹤的算法,并設計了數據志跟蹤的基本過程,從而形成了一套系統(tǒng)的數據志跟蹤理論與方法。
  13. Finally , in order to validate our theories and approach , this thesis conducts data lineage tracing experiment with relational query q2 and q12 of tpc benchmark ? h , and compares the tracing performance with the approach of tracing query process presented by doctor cui
    為了驗證本文提出的理論和方法,作者對tpc - h測試標準中具有代表性的關系查詢q2和q12進行了數據志跟蹤實驗,驗證了起源集理論和方法的有效性,并與cui博士提出的“基于轉換性質的跟蹤查詢過程的方法”進行了詳細的比較。
  14. As one of the most advanced research problems in data warehouse system , data lineage tracing may play an important role in the area of in - depth data analysis , and help us to validate the source data , cleaning rules and transformation rules , and thus improving the quality of data warehouse
    數據志跟蹤技術是數據倉庫研究中一個最新的前沿性課題,不僅可以支持更全面、更深入的數據分析,還可以幫助技術人員驗證源數據、清洗規(guī)則和轉換處理的正確性,從而提高數據倉庫的質量。

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