Data warehouse ( dw ) technique is a jumped - up field 數(shù)據(jù)倉庫屬于一個新興的領域。
Data warehouse ( dw ) is a new technology in the information spaces 數(shù)據(jù)倉庫技術是信息技術領域的一門新興技術。
As a decision - support facility , data warehouse ( dw ) is widely used in information domain 數(shù)據(jù)倉庫作為一種決策支持的技術在信息領域已被廣泛運用。
Data warehouse ( dw ) can homogenize isomeric data and has a complex analysis function 現(xiàn)有的基于數(shù)據(jù)庫系統(tǒng)的水環(huán)境質(zhì)量評價系統(tǒng)面向的對象單一,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,在信息技術領域興起并日益成熟的數(shù)據(jù)倉庫技術成為了研究和應用的熱點。
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)倉庫和聯(lián)機分析處理技術為決策支持系統(tǒng)dss開辟了新的途徑,數(shù)據(jù)-驅動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 電力營銷決策支持系統(tǒng)的建立過程綜合了決策支持系統(tǒng)的理論、數(shù)據(jù)倉庫技術、 olap技術、數(shù)據(jù)挖掘技術和web技術。
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)倉庫技術是二十世紀九十年代計算機應用技術的一個研究熱點,用以滿足用戶不斷增長的分析處理數(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)倉庫( dw ) 、聯(lián)機分析處理( olap )和數(shù)據(jù)挖掘( dm )是近年來興起的新的信息處理技術,它在提供更高層次的信息服務方面發(fā)揮著越來越重要的作用。
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)倉庫、聯(lián)機分析處理和數(shù)據(jù)挖掘三大技術支撐的商務智能( businessintelligence , bi )給企業(yè)帶來了希望。