data warehouse 中文意思是什麼

data warehouse 解釋
【計算機】數據倉庫。

  • data : n 1 資料，材料〈此詞系 datum 的復數。但 datum 罕用，一般即以 data 作為集合詞，在口語中往往用單數...
  • warehouse : n 1 倉庫，貨棧。2 批發莊；大零售店。3 〈美，貶〉「福利庫」〈指收容精神病患者、老人、貧困者等的大...
  1. Ods possesses some characteristics of some characteristics and oltp systems of the data warehouse, it is the data " who faces the theme, integrates, or close to present, constantly changeably at present " because dss is peculiar : ca n ' t fully understand the demand ; the demand change is great ; implement time long cycle, but the customer demands to become effective and wait for the characteristic soon at the time of making bi systematic scheme of the enterprise layer, should consider on the issue that there is a great deal of, in a situation that the fish and bear ' s paw must hold concurrently, make the choice

    Ods （ operationaldatastore ）是數據倉庫體系結構中的一個可選部分， ods具備數據倉庫的部分特徵和oltp系統的部分特徵，它是「面向主題的、集成的、當前或接近當前的、不斷變化的」數據。由於決策支持系統特有的：不能充分了解需求；需求變動大；實施周期時間長，但客戶要求見效快等特點。在制定企業級的bi系統方案時，就會有諸多問題要考慮，在魚和熊掌不能兼得的情況下，做出選擇。
  2. It is a orient - subject, integrating conformance gather and come into being by processing data in cleanout, change, loading. it supports integrate, uniform, accurate data for data mining. the data warehouse saves account message from customers and relation data of competitions

    數據倉庫是一個面向主題的，集成的，時變的，非易失的數據集合，它是將各種數據通過清洗、轉換、裝載過程而形成的，它為數據挖掘提供完整、統一、準確的數據。
  3. The thesis discuss the data mining principle and technology from application and the fact of guizhou telecom. by uniting the designing and developing processes, the system cleanout, change, loading the volume custom operation data into the data warehouse that used many analyst methods such as clustering analyst, forecast analyst to make the function of subdividing custom colony and running and improved the competition core ability of enterprise

    同時，針對貴州電信海量的客戶運營數據，經過清洗、轉換、整合到數據倉庫中，採用了多種分析方法，如聚類分析、預測分析，實現了客戶群細分、客戶流失預測等功能，極大的提高了貴州電信核心競爭力。
  4. The concurrent design based on data warehouse

    以產品數據倉庫為核心的并行設計過程
  5. Conformation and application of education data warehouse

    教育數據倉庫的構建與應用
  6. Data warehouse model design of retailed enterprise

    商品零售企業數據倉庫模型設計
  7. Building data warehouse and data mining with sql server

    2000的數據倉庫和數據挖掘
  8. The construction of marine fisheries data warehouse

    海洋漁業數據倉庫的研究與實現
  9. Design of data warehouse based on telecom service

    基於電信業務的數據倉庫系統設計
  10. Add an event to the ssas data warehouse

    向analysis services數據倉庫添加事件。
  11. Researching on and analyzing technology of data warehouse

    數據倉庫技術研究與分析
  12. Web data warehouse and its application in oa

    數據倉庫及其在辦公自動化系統中的應用
  13. So data warehouse technique is introduced in fault diagnosis. takes gear case as the instance, the paper uses the data mining to generate rules distinguishing the faults of gear case, and then uses these rules to diagnose unknown fault

    對此，在故障診斷領域引入數據倉庫技術，並以齒輪箱為例，通過數據挖掘產生區分齒輪箱各種故障的規則，並利用這些規則來診斷未知故障。
  14. Data warehouse ( dw ) can homogenize isomeric data and has a complex analysis function

    現有的基於數據庫系統的水環境質量評價系統面向的對象單一，分析功能弱。
  15. Designed and implemented the first level fund settlement software of stock, the data warehouse of securities corporation fund balance and the monitoring software of stock exchange in real time

    完成公司證券一級清算、證券法人結算數據倉庫、交易實時監控軟體的開發。
  16. But the scope and cost of data warehouse efforts were frequently onerous

    但是數據倉庫工作的范圍和成本常常是巨大的。
  17. Both as the important applicative techniques of data warehouse, olap and data mining have notable differences. olap offers user a view of all angles in order to study the data deeply ; however, data mining analyzes the collecting data automatically, makes the including ratiocination and then helps the decision maker to adjust the strategy and to reduce the risk and gain the correct decision

    Olap和數據挖掘技術作為數據倉庫的兩項重要應用技術有所不同： olap技術可以為用戶提供多角度、快速、直觀的視圖，以便深入觀察數據；而數據挖掘技術高度自動化地分析企業收集的數據，做出歸納性的推理，從而幫助決策者調整策略，減少風險，做出正確的決策。
  18. And then it emphasizes the structure model and the process of data warehouse, the ways of extracting data from operation model and guiding into the data warehouse, the realization techniques of dealing with data synthetically, as well as the mechanism of how to superadd the upper data into the data warehouse, and introduces the realization techniques of the mining model of association rule, the apriori and the fp - growth arithmetic particularly

    接著重點討論了數據倉庫的構建模型和構建過程，從操作型環境抽取數據並導入數據倉庫方法，對數據進行綜合處理的實現技術，以及後期數據如何追加到數據倉庫的機制，並詳細介紹了關聯規則挖掘模型， apriori演算法，和fp - growth演算法的實現技術。
  19. Based on b / c / s pattern and modern information technique, such as data warehouse, active server pages, active data object, and so on, it was achieved that integrating the information and the functions of the document management by the software which has been designed in this study. the software is a convenience, powerful and easy used tool for document managers and engineering designers. moreover, the software has been used for the actual work and obtained the better appraisement

    本課題基於b c s結構模式，結合數據倉庫、 asp動態網頁環境和ado介面等技術方法實現了圖檔管理信息和功能的集成，進行了軟體的開發，並在實際工作中得到了較好的應用，為管理人員提供了方便的管理工具，為設計人員提供了靈活、美觀、實用的數據集成化查詢界面，提高了圖檔管理工作的效率。
  20. Crm is a management software and technology too. it combines the best business practice, data mining, data warehouse, one to one marketing, sfa and other information technologies with together and provides the enterprise with an automatic operation scheme. based on it, the enterprise has an interface to face it ' s customer and achieve it ' s purpose of transforming from traditional enterprise model to modem enterprise model based on e - business

    Crm也是一種管理軟體和技術，它將最佳的商業實踐與數據挖掘、數據倉庫、一對一營銷，以及其他信息技術緊密結合在一起，為企業的銷售、客戶服務和決策支持等領域提供了一個業務自動化的解決方案，使企業有一個基於電子商務的面對客戶的前沿，從而順利實現由傳統企業模式到以電子商務為基礎的現代企業模式的轉化。
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