清倉查庫 的英文怎麼說
中文拼音 [qīngcāngzhākù]
清倉查庫
英文
make an inventory [checkup] of warehouses-
This paper describes the basic features and components of data warehouse system, and deals how to use description - driven technology to integrate different data warehouse systems, how to implement the change from one data schema to another, how to clean dirty data in data transformation process, and how to exchange data among different components or systems. at last, this paper takes two products to illustrate how to implement systems following these principles and methods. these two products are the e - chain system as an application in commerce domain, and the ftedws system as an application in engineer test domain
本文分析了數據倉庫系統軟體的基本特徵，提出了利用描述驅動技術來實現數據倉庫系統的集成管理，描述了etl操作和分析處理的基本處理流程和相應的執行構件，定義了集成框架中數據模式轉換規則和數掘清洗規則，構建了一個基於星型模式和對象模型的分析模型和相應的數據查詢語言，提出了集成框架系統構件間的數據交換標準，並定義了基於此標準的的數據交換和元數據交換方法，探討了集成框架標準構件管理的基本方法和權限管理，最後介紹了數據倉庫集成框架系統在商業領域的應用實例e - chain系統和工程試驗領域的應用實例ftedws系統。Because the vigorous market competes and data warehouse give the business enterprise the high the bigness value, the high leaders of the material limited company of the two bureau of china ' s train draw a conclusion to establish the decision support system, increasing the competition ability of the business enterprise with more science more completely of decision support. we have investigate and understand the need of the leader, the manager of sale department and employee. according to the general principles that data warehouse design, we select the sale topic to establish prototype design
對于該公司的領導、銷售部門經理、以及員工的調查與需求了解，以及按照數據倉庫開發的一般原則，首先選取商品銷售主題進行快速原型設計，從第三段開始以銷售決策系統設計開發為出發點，按照數據倉庫開發的一般原則和步驟，逐步探討了基於數據倉庫技術的中鐵二局物資有限公司銷售決策系統的項目需求分析、系統軟硬體結構設計、概念模型設計、多維數據邏輯建模、數據抽取、轉換、清洗和裝載設計、多維分析服務器的設計以及前端數據分析工具的設計與開發等問題。Work together with customer ' s warehouse people to do monthly inventory check
定期與客戶的倉管人員一起做庫存清點，並查看庫存貨物的狀況。Business intelligence bases on technologies such as data warehouse, olap and data mining and has data extraction, cleaning, clustering, query, analysis, mining, and prediction of the data and knowledge discovery as its methods. it can provide the practical and constantly improved solution to the investigation, planning, design, practice, and perfection of the requirement of the analytical decision for the enterprise
商業智能是以數據倉庫、聯機數據分析、數據挖掘技術為基礎，以數據抽取、清洗、聚類、查詢、分析、挖掘、預測、知識發現為手段，對企業分析決策需求進行調研、規劃、設計、實施、完善和不斷改進的一套可操作可實施的解決方案。分享友人