數據倉儲 的英文怎麼說
中文拼音 [shǔjùcāngchǔ]
數據倉儲
英文
data warehouse- 數 : 數副詞(屢次) frequently; repeatedly
- 據 : 據Ⅰ動詞1 (占據) occupy; seize 2 (憑借; 依靠) rely on; depend on Ⅱ介詞(按照; 依據) according...
- 倉 : 名詞1. (倉房; 倉庫) storehouse; warehouse 2. (姓氏) a surname
- 儲 : Ⅰ動詞(儲藏; 存放) store up; save; keep [have] in reserve Ⅱ名詞1. (繼承人) heir 2. (姓氏) a surname
- 數據 : data; record; information
- 倉儲 : keep grain, goods, etc. in a storehouse倉儲費 storage charge; 倉儲作業 warehousing and storage activities
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Shows a decision point, " validation successful ? ", two data format conversion tasks, local data repositories to store customer orders for later use in the process, and a process loop to select and forward orders to the correct manufacturing plant
顯示了一個決策點, 「驗證成功? 「 ,兩個數據格式轉換任務,以供流程后來使用的本地數據倉庫來存儲客戶訂單,以及一個流程環來選擇並且將訂單提交給正確的生產廠商。This system is operated on the platform of unix ( ibm aix ), using powerdesigner as the modeling tool, based on the db storage of oracle9i, carried out etl works with datastage, built multi - dimension cube and laid out the result upfront by cognos. design and research of the whole dw system was deeply and particularly set forth here, this may make help to unicorn ' s dw project period 2 on theory
本系統以unix ( ibmaix )操作系統為開發平臺,使用powerdesigner為建模工具,基於oracle9i的數據庫存儲,以datastage進行etl操作,以cognos作為多維立方體生成及前端展示工具,對整個數據倉庫系統的設計和研究做了深入的分析和詳細的闡述,為數據倉庫二期工作提出了理論上的幫助和建議。In many caces, the data in data warehouse which derive from multi - operation data source. however, data source is likely stored on different hardware platform and use different os. as a result, the data from these data source absolutely exist inconsistent data
但是,由於數據倉庫中的數據來自多種業務數據源,這些數據源可能是存儲在不同的硬體平臺上,使用不同的操作系統,因而從這些數據源中獲取來的數據中不可避免地存在一些不一致的數據。It take the traditional database technology as its basic wa y for data saving and resource manger ; and it take the statistical analysis tech nology as its efficient way for data analysis and information retrieval ; it take the artificial intelligence technology as the scientific way for knowledge mini ng and law discovery
數據倉庫是一種方法,它以傳統的數據庫技術作為存儲數據和管理資源的基礎手段,以統計分析技術作為分析數據和提取信息的有效方法,以人工智慧技術作為挖掘知識和發現規律的科學途徑。The concept of data warehouse was proposed in the late 1990s. it is a precept that uses the traditional database technology as the basic method to store data and manage source, statistics technology as the efficient method to analysis data and obtain information, artificial intelligence technology as the scientific protocol to discover new knowledge and discipline
數據倉庫是20世紀90年代中後期提出的概念,它是以傳統的數據庫技術作為存儲數據和管理資源的基本手段,以統計分析技術作為分析數據和提取信息的有效方法,以人工智慧技術作為挖掘知識和發現規律的科學途徑的一種解決問題的方案。Party b should provide party a with various arrangements which are conductive to sales ( including samples free of charge , articles for trial sales , data for promoting computer sales , technical exchange and conditions for storage etc
乙方應向甲方提供各類有助於促銷的便利(包括免費樣品、試銷品、計算機促銷的數據、倉儲的條件以及技術交換等) 。New users bring their own kinds of demands, existing users change their focus and often the depth of their studies, the business cycle presents its own kinds of peaks and valleys, and in most cases the data warehouse expands as it stores data to cover longer periods of time
新的用戶帶來了他們自己的需求類型,現有的用戶修改他們的焦點,並且常常改變其研究深度,業務周期呈現其自己的峰值和谷值類型,在大多數情況下,數據倉庫隨著它存儲數據跨越更長時期而進行擴展。Many former systems like this is purely according to c / s mode, but this system is base on the combine of c / s and b / s, and the same time, the high speed network technique of today is used, therefore the function of this system is more perfect ; the constructions of each departments of this system about database are discussed ( include mold construction, the table construction of database etc. ), the key techniques of database ( stored process, trigger and the safety technique ), the safety design of database, the safety design of program etc., and the establishing of data warehouse of customer is introduced, and a technique about graph of customer data warehouse ( realized with powerbuilder ) ; the design of network construction is briefly discussed ; the choice of servers is introduced in detail ( include the database server and the the web server )
以往的此類系統大多單純基於c / s模式設計,而本系統是兩種模式的結合,充分利用當今高速發展的網路技術,所以功能更加完善和強大;數據庫技術方面詳細介紹了各分系統的功能模塊設計(包括模塊結構、數據庫表結構設計等) 、后臺數據庫的關鍵技術(存儲過程、觸發器和數據庫的安全技術) 、數據庫安全性設計(採用雙機容錯解決方案) 、程序安全性設計和權限配置等,同時介紹了客戶數據倉庫的建立方案和客戶數據倉庫的一種可視化技術(用pb和sybase的工具來實現) ;簡要介紹了系統的網路結構設計過程;詳細介紹了服務器的選擇和選擇結果(包括數據庫服務器和web服務器) 。Data warehouses ( dw ) are built by gathering information from distributed information sources ( iss ) and integrating it into one customized repository. data warehousing is used for responding to high level query and analysis ( e. g., decision support, data mining )
數據倉庫是為響應高層查詢與分析(如決策支持和數據挖掘)而建立的一個數據庫系統,它是實化視圖的集合,實化視圖存儲于分配給數據倉庫的物理空間中,並響應所有對數據倉庫的查詢請求。Q : should i have just one pvob project meta - data repository for my unified change management deployment
Q :我是否應該僅擁有一項pvob (項目元數據倉儲)用於統一變更管理( ucm )部署?Furthermore, the design principle of metadata management system and the construction of metadata repository are introduced separately
最後討論了元數據倉儲的具體實現、元數據管理系統的設計原則及元數據庫的建立。Then we also have put forth an interoperable and sharing hierarchy model for distance learning. though this model is put forward for distance learning, it also can be applied to other application domains, such as web - based databases, digital library, data warehouses, data mining, etc. considering the system performance demand, we have chosen a group of servers or cluster to establish the resource platform
並且給出一種新穎的信息互操作和共享層次模型,這種模型雖然是為消口太原理工大學碩士研究生畢業論文除遠程教育系統中的語義沖突而提出來的,但它同樣適合於其它應用領域,如數據挖掘、數據倉儲、電子圖書館等。The data warehouse pulls data from the operational store on its own schedule
數據倉庫根據自己的計劃取出操作存儲區中的數據。A data warehouse is a place where data is stored for archival purposes, analysis purposes and security purposes
數據倉庫是存儲用以歸檔、分析以及安全等目的數據的。At present, the data warehouse systems is more built on the relation database, so the star schema simulates the expression and memory of multidimensional data model by the relation model, for improving visit efficiency
星型模型是數據倉庫的數據模型設計一個補充部分,目前數據倉庫系統多建在關系數據庫之上,所以星型模型是由關系模型模擬多維數據模型的表示和存儲,提高了數據倉庫訪問效率。Thirdly, we need to build up database to keep the data for data mining, and based on the analysis of economic data warehouse, data table and the problems of data granularity, data partition and the structure of data warehouse, we set the star structure of regional macro economic analysis, and we design the fact table and dimension table for data warehouse. so we design and construct economic data warehouse and fulfill economic data entry, transfer, store and management
在這章中我們給出了一個關于pse的數據倉庫屬性的定義,即:數據倉庫是一種來源於各種渠道的單一的、完整的、穩定的、集成的數據存儲,這個儲存的數據本質上是面向主題的、集成的、非易失的和可動態更新的,數據的邏輯形式是提供公式數據和組織數據。Data can be rejected, stored for repair in a holding area, or passed on with its imperfections to the data warehouse
可以暫時拒絕這些數據,將數據存儲起來以便在固定領域中對它們進行修正,或者將其缺點傳遞給數據倉庫。It also discusses the realization of the system. meanwhile, beginning with the analysis of the need few the system, the thesis draws a data flow diagram, studies the entities and their relation involved in the system and sets up the concept data model. then it establishes a logic data model and opens up the managing system of the automatic storage & retrieval system d atabase supporting the internet structure of the client / database server by using sql server 2000 database system
同時,從啤酒自動化倉庫管理系統需求分析入手,畫出系統的數據流圖,研究系統所涉及的實體以及實體之間的關系,建立概念數據模型,再建立邏輯數據模型,最後採用sqlserver2000數據庫系統開發了支持客戶機服務器網路結構的啤酒自動化倉庫管理系統數據庫,為倉儲作業的實現和庫存管理提供數據存儲方面的支持。A three - layer system frame according with j2ee standard was adopted in system structure and oracle was used as basic network database of system, so that the data can be saved safely and searched with high speed. this system has such basic pdm functions as project management, human resource management, right management, product configuration management, etc. and, it was applied to a certain extent in enterprises
系統體系結構採用了符合j2ee標準的三層系統架構,使用oracle作為系統的底層網路數據倉庫,實現了數據的安全存儲和高速查詢,該系統具備了項目管理,人員管理,權限管理,產品配置管理,版本管理等基本的產品數據管理功能,並在企業獲得一定程度的應用。Using data warehouse or data mart as storage area, using olap for counting all kinds of business and for verifying hypothesis made by users, and using data mining for discoverying models hiden in vast data, these all help users to make decisions
它使用數據倉庫和數據集市作為數據存儲區,通過olap對各個業務運作進行統計和對用戶的假設進行驗證。通過數據挖掘發現數據背後隱藏的模式,都是為決策提供量的支持。分享友人