data warehouse

基本解釋

Method Computer network techniques, data-warehouse techniques and statistical decision methods.
方法計(jì)算機(jī)網(wǎng)絡(luò)技術(shù)、數(shù)據(jù)倉(cāng)庫(kù)技術(shù)和統(tǒng)計(jì)學(xué)方法。
The information contained in this article can be used to optimize decision-support and data-warehouse workloads that are similar in nature to the TPC-H benchmark.
本文所包含的信息可用于優(yōu)化本質(zhì)上類似 TPC-H 基準(zhǔn)測(cè)試的決策支持工作負(fù)載和數(shù)據(jù)倉(cāng)庫(kù)工作負(fù)載。
The paper explores the application of data-warehouse and OLAP in decision support system of ECM. and paves the way for development of data-warehouse system of ECM in the basic theory.
本文探討了在銀行信貸管理中的數(shù)據(jù)倉(cāng)庫(kù)的建模方法，及其在數(shù)據(jù)倉(cāng)庫(kù)基礎(chǔ)上的數(shù)據(jù)發(fā)掘的計(jì)算智能方法的應(yīng)用。

When Office Depot was shopping for a 4-terabyte data warehouse in mid-1999, it chose Teradata over IBM.
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By creating a framework to undertand member, employer and proivder data, the company was able to move from a claims-centric data warehouse architecture to one that is information-based and enables them to integrate the data sources faster, allowing the use of more comprehensive information.
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Linden Labs, creator of Second Life, uses StreamBase, along with Hadoop, Netezza (the IBM-acquired data warehouse) and Microstrategies.
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Data -Warehouse 數(shù)據(jù)倉(cāng)庫(kù);數(shù)據(jù)庫(kù)層
data -warehouse platform 數(shù)據(jù)倉(cāng)庫(kù)平臺(tái)
Spatial Data warehouse 空間數(shù)據(jù)倉(cāng)庫(kù);篇白皮書;倉(cāng)儲(chǔ);基于空間數(shù)據(jù)倉(cāng)庫(kù)
Data Warehouse System 數(shù)據(jù)倉(cāng)庫(kù)系統(tǒng);資料倉(cāng)儲(chǔ)系統(tǒng);大型數(shù)據(jù)庫(kù);所謂數(shù)據(jù)倉(cāng)庫(kù)系統(tǒng)
Data Warehouse Engineer 數(shù)據(jù)倉(cāng)庫(kù)工程師;數(shù)據(jù)庫(kù)開發(fā)工程師

數(shù)據(jù)倉(cāng)庫(kù)
Data-warehouse model were designed according to the features of college students' achievement. ，and ends up with a practical example.
針對(duì)高等醫(yī)學(xué)院校學(xué)生成績(jī)特點(diǎn)，設(shè)計(jì)了數(shù)據(jù)倉(cāng)庫(kù)模型，并給出了具體的實(shí)現(xiàn)方法，該模型的建立可以為教學(xué)管理提供決策支持。
經(jīng)濟(jì)學(xué)
數(shù)據(jù)倉(cāng)庫(kù)
Then four-part flexible coding technology is employed to code quality tools knowledge. In the end, the expressing method and data-warehouse of quality tools knowledge is studied.
第三章：首先分析常用質(zhì)量工具和綜合質(zhì)量工具；接著采用線分類法和面分類法相結(jié)合的方法建立質(zhì)量工具知識(shí)的分類體系；然后在此基礎(chǔ)上采用四個(gè)碼位的柔性編碼技術(shù)對(duì)質(zhì)量工具知識(shí)進(jìn)行編碼；最后對(duì)質(zhì)量工具知識(shí)的表達(dá)方法與數(shù)據(jù)倉(cāng)庫(kù)進(jìn)行研究。