data warehouse

美 　英

• n.數(shù)據(jù)倉(cāng)庫(kù)（匯集企業(yè)各部門(mén)信息的大量數(shù)據(jù)）
• 網(wǎng)絡(luò)資料倉(cāng)儲(chǔ)；數(shù)據(jù)倉(cāng)庫(kù)技術(shù)；資料倉(cāng)庫(kù)

詞形變化

復(fù)數(shù)：data warehouses  

英漢雙解

英漢解釋

na.	1. 【計(jì)】數(shù)據(jù)倉(cāng)庫(kù)

英英解釋

n.	1. a large amount of information from a corporation stored on a computer and used for making business decisions

例句

Data Volume: There is often a huge amount of data that needs to be processed regularly for a data warehouse environment.

數(shù)據(jù)量：對(duì)于一個(gè)數(shù)據(jù)倉(cāng)庫(kù)環(huán)境，常常需要對(duì)巨量的數(shù)據(jù)進(jìn)行常規(guī)性的處理。

Data aggregation is always part of data warehouse requirements, which are usually in the form of business reports.

數(shù)據(jù)聚集通常是數(shù)據(jù)倉(cāng)庫(kù)需求的一部分，它通常是以業(yè)務(wù)報(bào)表的形式出現(xiàn)的。

In large data warehouse query processing, multi-joining of fact tables is often involved.

在大型數(shù)據(jù)倉(cāng)庫(kù)查詢(xún)過(guò)程中，經(jīng)常涉及多事實(shí)表的連接操作。

A data warehouse is an "organic" thing, and it tends to become big, if it is not already big at the beginning.

數(shù)據(jù)倉(cāng)庫(kù)是一個(gè)“有機(jī)”物，如果在開(kāi)始時(shí)還不夠大，就還會(huì)趨于變大。

There is often a huge amount of data that needs to be processed regularly in a data warehouse environment.

數(shù)據(jù)倉(cāng)庫(kù)環(huán)境通常要定期處理大量數(shù)據(jù)。

The customer engagement process of a data warehouse solution is similar to that of other IT solutions in some ways.

數(shù)據(jù)倉(cāng)庫(kù)解決方案的客戶(hù)互動(dòng)過(guò)程與以某種方式進(jìn)行的其他IT解決方案的相似。

Informix has always been a great datamart and data warehouse server.

Informix一直有一個(gè)很大的數(shù)據(jù)集市和數(shù)據(jù)倉(cāng)庫(kù)服務(wù)器。

One interesting example is called Hive, which is a data warehouse infrastructure with its own query language (called Hive QL).

一個(gè)有趣的示例稱(chēng)為Hive，它是一個(gè)具有自己特定查詢(xún)語(yǔ)言（稱(chēng)為HiveQL）的數(shù)據(jù)倉(cāng)庫(kù)基礎(chǔ)結(jié)構(gòu)。

The independent data mart architecture is not a good approach because it goes against the key concept of a data warehouse: data integration.

獨(dú)立的數(shù)據(jù)集市架構(gòu)不是一種好方法，因?yàn)?/c>它違背了數(shù)據(jù)倉(cāng)庫(kù)的關(guān)鍵概念：數(shù)據(jù)集成。

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(shí)拒絕這些數(shù)據(jù)，將數(shù)據(jù)存儲(chǔ)起來(lái)以便在固定領(lǐng)域中對(duì)它們進(jìn)行修正，或者將其缺點(diǎn)傳遞給數(shù)據(jù)倉(cāng)庫(kù)。

By creating the data model, the developer understands how the many and complex parts of the data warehouse have to relate.

通過(guò)創(chuàng)建數(shù)據(jù)模型，開(kāi)發(fā)人員就能夠理解數(shù)據(jù)倉(cāng)庫(kù)最多和最復(fù)雜的部分必須涉及的。

You're ready to define operators to populate the two target data warehouse tables.

現(xiàn)在可以定義填充兩個(gè)目標(biāo)數(shù)據(jù)倉(cāng)庫(kù)表的操作符。

This can be challenging due to the ad hoc nature of data warehouse workloads.

由于數(shù)據(jù)倉(cāng)庫(kù)工作負(fù)載的即席性質(zhì)，這個(gè)任務(wù)有挑戰(zhàn)性。

Customer education is part of every stage of the data warehouse project.

客戶(hù)教育是數(shù)據(jù)倉(cāng)庫(kù)項(xiàng)目每個(gè)階段的一部分。

The questions to ask are based on your data warehouse knowledge, your evaluation, and your understanding of end-user requirements.

所查詢(xún)的問(wèn)題基于您的數(shù)據(jù)倉(cāng)庫(kù)知識(shí)、評(píng)估以及對(duì)于終端用戶(hù)需求的理解。

Moving data to target tables in the central data warehouse is usually the final step of an ETL process .

將數(shù)據(jù)移至中心數(shù)據(jù)倉(cāng)庫(kù)中的目標(biāo)表通常是ETL過(guò)程的最后步驟。

The front tool of data warehouse, OLAP, is an advanced DSS tool, which is developing rapidly during the recent decades.

作為數(shù)據(jù)倉(cāng)庫(kù)前端工具，聯(lián)機(jī)分析處理（OLAP）是近十年迅速發(fā)展起來(lái)的一種高級(jí)決策支持工具。

Instead of a DataStage job, the data warehouse is now populated by stored procedures STG_TO_DWH, as shown in Figure 2.

與DataStage任務(wù)不同的是，數(shù)據(jù)倉(cāng)庫(kù)現(xiàn)在由存儲(chǔ)過(guò)程STG_TO_DWH填充，如圖2所示。

IBM InfoSphere DataStage enables firms to extract, transform, and load (ETL) data from a variety of sources into a data warehouse.

IBMInfoSphereDataStage使公司能夠從各種源提取和轉(zhuǎn)換數(shù)據(jù)，并將數(shù)據(jù)裝載到數(shù)據(jù)倉(cāng)庫(kù)中。

It must be the research background of good data warehouse, data mining, semantic web, artificial intelligence direction.

具有良好的數(shù)據(jù)倉(cāng)庫(kù)、數(shù)據(jù)挖掘、語(yǔ)義網(wǎng)、人工智能等方向的研究背景。

Usually, there are a large number of material views are stored in data warehouse, whose data is mainly used for decision analyzing.

通常，數(shù)據(jù)倉(cāng)庫(kù)中存儲(chǔ)了大量實(shí)體化視圖，這些視圖中的數(shù)據(jù)主要用于決策分析。

It is also exciting to see IBM invest so heavily in Informix and its role as a data warehouse engine.

看到IBM在Informix上的投入如此之多，以及它所扮演的數(shù)據(jù)倉(cāng)庫(kù)引擎角色，我非常激動(dòng)！

It includes all the activities that make it possible for an organization to create, manage, and maintain a data warehouse or data mart.

它包括使企業(yè)可以創(chuàng)建、管理和維護(hù)數(shù)據(jù)倉(cāng)庫(kù)或數(shù)據(jù)集市的所有活動(dòng)。

As you are building your data warehouse, think about which dimensions can be reused in other data warehouses.

在構(gòu)建數(shù)據(jù)倉(cāng)庫(kù)時(shí)，考慮哪些維度可在其他數(shù)據(jù)倉(cāng)庫(kù)中可用。

Due to this separation, a data warehouse does not require transaction processing, recovery, and concurrency control mechanisms.

由于這種分離，數(shù)據(jù)倉(cāng)庫(kù)不需要事務(wù)處理、恢復(fù)和并行控制機(jī)制。

Summary tables are required in a data warehouse for fast query processing and to allow users to drill up and down into the facts.

在數(shù)據(jù)倉(cāng)庫(kù)中需要匯總表，來(lái)實(shí)現(xiàn)快速查詢(xún)，并允許用戶(hù)在事實(shí)表中鉆入鉆出。

After these it introduce the key technique used in the system, including data-warehouse technique, working flow technique, IDDS etc.

然后介紹了系統(tǒng)實(shí)現(xiàn)中所需用到的一些關(guān)鍵技術(shù)，包括數(shù)據(jù)倉(cāng)庫(kù)技術(shù)、工作流技術(shù)、決策支持系統(tǒng)等。

The DWADMIN. ACCT table is one of two data warehouse tables to be populated from the input source.

ACCT表是需要從輸入源填充的兩個(gè)數(shù)據(jù)倉(cāng)庫(kù)表之一。

The business-wide data warehouse can be physically centralized or physically distributed throughout the organization.

在整個(gè)企業(yè)中，業(yè)務(wù)范圍的數(shù)據(jù)倉(cāng)庫(kù)在物理上可以是集中式的，也可以是分布式的。

Teamworks is the name of the Lombardi environment. A shared database is used for build time, runtime, and the performance data warehouse.

Teamworks是Lombardi環(huán)境的名稱(chēng)，一個(gè)共享數(shù)據(jù)庫(kù)用于構(gòu)建時(shí)間、運(yùn)行時(shí)和執(zhí)行時(shí)倉(cāng)庫(kù)。

This article discusses the principles of designing data granularity with the help of the actual construction of a data warehouse.

本文結(jié)合實(shí)際的數(shù)據(jù)倉(cāng)庫(kù)建設(shè)，討論數(shù)據(jù)粒度的設(shè)計(jì)原則。

If a schema conflict is blocking data from entering the data warehouse for a report, the time stamp for the report will not be updated.

如果因結(jié)構(gòu)描述沖突資料遭封鎖而無(wú)法進(jìn)入資料倉(cāng)儲(chǔ)以產(chǎn)生報(bào)表，便不會(huì)更新報(bào)表的時(shí)間戳記。

However, two keys to a valuable data warehouse are its flexibility and its ability to handle queries that are unknown at design time.

然而，有價(jià)值的數(shù)據(jù)倉(cāng)庫(kù)的兩個(gè)關(guān)鍵就是其靈活性以及處理設(shè)計(jì)時(shí)未知的查詢(xún)的能力。

Primary Storage Management consists of the processes that manage data within and across the data warehouse and operational data store.

基本存儲(chǔ)管理由數(shù)據(jù)倉(cāng)庫(kù)和ODS中管理數(shù)據(jù)的一系列過(guò)程構(gòu)成。

However, many data marts in a data warehouse do not necessarily need that much historical data.

但是，數(shù)據(jù)倉(cāng)庫(kù)中的許多數(shù)據(jù)集市都不一定需要那么多的歷史數(shù)據(jù)。

That's good news for customers like the Gallup Organization, which runs its Oracle data warehouse on Red Hat open source servers.

這對(duì)于像GallupOrganization這樣的客戶(hù)來(lái)說(shuō)應(yīng)該算是一個(gè)好消息，他們目前的Oracle數(shù)據(jù)倉(cāng)庫(kù)就是運(yùn)行在紅帽的開(kāi)源服務(wù)器上。

Along with time passes away, a great deal dormant data have been produced and affect the performance of data warehouse.

隨著時(shí)間的推移，數(shù)據(jù)倉(cāng)庫(kù)中會(huì)產(chǎn)生大量休眠數(shù)據(jù)，嚴(yán)重影響其性能。

In this initial customer engagement step, you and your customer decide to start a data warehouse project, and begin setting up an agreement.

在這個(gè)客戶(hù)互動(dòng)的初始步驟中，您與您的客戶(hù)將決定啟動(dòng)數(shù)據(jù)倉(cāng)庫(kù)項(xiàng)目，并開(kāi)始建立協(xié)議。

To help, IBM is climbing into the ring with some new muscle for its InfoSphere integration, analytics, and data warehouse tools.

為此，IBM引入了一些新鮮力量，推出了InfoSphere整合、分析和數(shù)據(jù)倉(cāng)庫(kù)工具。

In this paper we have done in-depth research in transformer data warehouse construction, transformer fault diagnosis and fault forecast.

本文就變壓器數(shù)據(jù)倉(cāng)庫(kù)的構(gòu)建、變壓器綜合故障診斷、變壓器故障預(yù)測(cè)方法進(jìn)行了深入的研究。