data warehouse(dw)造句
例句與造句
- Data warehouse ( dw ) technique is a jumped - up field
數(shù)據(jù)倉(cāng)庫(kù)屬于一個(gè)新興的領(lǐng)域。 - Data warehouse ( dw ) is a new technology in the information spaces
數(shù)據(jù)倉(cāng)庫(kù)技術(shù)是信息技術(shù)領(lǐng)域的一門(mén)新興技術(shù)。 - As a decision - support facility , data warehouse ( dw ) is widely used in information domain
數(shù)據(jù)倉(cāng)庫(kù)作為一種決策支持的技術(shù)在信息領(lǐng)域已被廣泛運(yùn)用。 - Data warehouse ( dw ) can homogenize isomeric data and has a complex analysis function
現(xiàn)有的基于數(shù)據(jù)庫(kù)系統(tǒng)的水環(huán)境質(zhì)量評(píng)價(jià)系統(tǒng)面向的對(duì)象單一，分析功能弱。 - In recent years , the data warehouse ( dw ) , generating and increasingly maturing in the field of it , is becoming a hotspot of research and application
近年來(lái)，在信息技術(shù)領(lǐng)域興起并日益成熟的數(shù)據(jù)倉(cāng)庫(kù)技術(shù)成為了研究和應(yīng)用的熱點(diǎn)。 - It's difficult to find data warehouse(dw) in a sentence. 用data warehouse(dw)造句挺難的
- Data warehouse ( dw ) and online analytical processing ( olap ) open up a new channel for decision support system ( dss ) . data - driven dss becomes the new way of dss
數(shù)據(jù)倉(cāng)庫(kù)和聯(lián)機(jī)分析處理技術(shù)為決策支持系統(tǒng)dss開(kāi)辟了新的途徑，數(shù)據(jù)-驅(qū)動(dòng)dss成為了dss的新形式。 - The creation process of power - supply marketing dss includes the theory of dss , the technique of data warehouse ( dw ) , the technique of olap , the technique of data mining and web technique
電力營(yíng)銷(xiāo)決策支持系統(tǒng)的建立過(guò)程綜合了決策支持系統(tǒng)的理論、數(shù)據(jù)倉(cāng)庫(kù)技術(shù)、 olap技術(shù)、數(shù)據(jù)挖掘技術(shù)和web技術(shù)。 - Data warehouse ( dw ) technique is one of the most popular computer research hotspots in 1990 " s . it fulfills the increasing need for analytical processing and information retrieval
數(shù)據(jù)倉(cāng)庫(kù)技術(shù)是二十世紀(jì)九十年代計(jì)算機(jī)應(yīng)用技術(shù)的一個(gè)研究熱點(diǎn)，用以滿足用戶(hù)不斷增長(zhǎng)的分析處理數(shù)據(jù)、獲取信息的要求。 - Data warehouse ( dw ) , on line analytical and process ( olap ) and data mining ( dm ) , as the new information processing technology rising in recent years , are playing a more and more important role in offering more high - level information service
數(shù)據(jù)倉(cāng)庫(kù)( dw ) 、聯(lián)機(jī)分析處理( olap )和數(shù)據(jù)挖掘( dm )是近年來(lái)興起的新的信息處理技術(shù)，它在提供更高層次的信息服務(wù)方面發(fā)揮著越來(lái)越重要的作用。 - Traditional operational management information system can no longer meet the needs of companies . the concept of business intelligence ( bi ) , which is technically supported by data warehousing ( dw ) , online analytical processing ( olap ) and data mining ( dm ) , is widely recognized by companies
傳統(tǒng)的操作型信息管理系統(tǒng)已經(jīng)難以滿足企業(yè)的需求,由數(shù)據(jù)倉(cāng)庫(kù)、聯(lián)機(jī)分析處理和數(shù)據(jù)挖掘三大技術(shù)支撐的商務(wù)智能( businessintelligence , bi )給企業(yè)帶來(lái)了希望。 - 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(shù)據(jù)倉(cāng)庫(kù)是為響應(yīng)高層查詢(xún)與分析(如決策支持和數(shù)據(jù)挖掘)而建立的一個(gè)數(shù)據(jù)庫(kù)系統(tǒng)，它是實(shí)化視圖的集合，實(shí)化視圖存儲(chǔ)于分配給數(shù)據(jù)倉(cāng)庫(kù)的物理空間中，并響應(yīng)所有對(duì)數(shù)據(jù)倉(cāng)庫(kù)的查詢(xún)請(qǐng)求。 - The paper describes the environment of business intelligence in crm in details . we analyze the technique and the process of data warehouse ( dw ) particularly . after studying the process of data mining ( dm ) deeply , we give a model of life cycle which is made up of six phases and four levels
本文詳細(xì)描述了客戶(hù)關(guān)系管理中的商業(yè)智能環(huán)境，具體分析了數(shù)據(jù)倉(cāng)庫(kù)技術(shù)及其建造過(guò)程的各個(gè)階段，深入研究了數(shù)據(jù)挖掘過(guò)程，提出了數(shù)據(jù)挖掘項(xiàng)目的生命周期法，將數(shù)據(jù)挖掘項(xiàng)目分為六個(gè)階段和四個(gè)層次。 - The bringing up of data warehouse ( dw ) technology establishes a system environment of data storage . it separate the large amount of analysis - oriented data required for decision - making from the traditional operation environment , and make the scattered , inconsistent operating data into integrated , unified message
數(shù)據(jù)倉(cāng)庫(kù)( dw )技術(shù)的提出,建立了一種體系化的數(shù)據(jù)存儲(chǔ)環(huán)境,將分析決策所需要的大量數(shù)據(jù)從傳統(tǒng)的操作型環(huán)境中分離出來(lái),使分散、不一致的操作數(shù)據(jù)轉(zhuǎn)換成集成、統(tǒng)一的信息。 - Power - supply marketing ( dss ) can collect all kinds of scattering detailed data source , and make data warehouse ( dw ) faced to all kinds of topics , at the same time , dug the instinct law of the task and the quantity information accessed impossibly by manpower , and then based on these quantity information , make more scientific power - supply marketing dss
電力營(yíng)銷(xiāo)決策支持系統(tǒng)（ dss ）能夠收集分散的各種詳細(xì)數(shù)據(jù)源，建立以各種主題為導(dǎo)向的數(shù)據(jù)倉(cāng)庫(kù)，并從中挖掘業(yè)務(wù)的內(nèi)在規(guī)律和人力不可為之的數(shù)量信息，以此數(shù)量信息為支持，制定出較科學(xué)的電力營(yíng)銷(xiāo)決策。 - So how to handle the information is an important task . the data warehouse ( dw ) technology that emergence at the 90 ' s uses the completely new data organizational method to handle the large number of initial data and change them into useful information , then user can make decision by analysis the information
90年代初才起步的數(shù)據(jù)倉(cāng)庫(kù)( dw )技術(shù)采用全新的數(shù)據(jù)組織方式，對(duì)大量的原始數(shù)據(jù)進(jìn)行各種處理并轉(zhuǎn)換成有用的信息，用戶(hù)可以通過(guò)分析這些信息從而作出策略性決策。
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