For testing simplicity, the target data warehouse database is also configured to be TPoX.
为简化测试，目标数据仓库数据库也配置为TPoX。
A data warehouse database — especially a data mart — is very near to the end user, and it usually does not have fixed queries.
数据仓库的数据库——特别是数据集市——与终端用户非常接近，它通常不具有固定的查询。
A data warehouse database modeling solution is often best served by implementing a denormalized duplication of an OLTP source database.
数据仓库的数据库建模方案通过实施一个OLTP源数据库的非规范化的副本来实现。
So when information from the staging database is moved to the data warehouse through stored procedures, there is a gap in the lineage.
因此当来自临时数据库的信息通过存储过程被转移到数据仓库中时，这个沿袭出现了一个断点。
Before investing a lot of time and effort in implementing your warehouse database, it is a good idea to validate your model with the user, especially data mart models.
在投入大量时间和精力实现仓库数据库之前，与用户一起验证模型是一个很好的想法，特别是数据集市模型。
System management: data management, data warehouse security, system and database backup and recovery, and so on.
系统管理：数据管理、数据仓库安全性、系统和数据库的备份和恢复，等等。
The physical data model is tightly related to the database system and data warehouse tools that you will use.
物理数据模型是与数据库系统以及您将使用的数据仓库工具紧密相关的。
There are many topics not covered here that are also fundamental in delivering a good data warehouse solution, including system and database design, administration, performance tuning, and others.
有许多主题未在本文中进行介绍，但它们同样是交付良好数据仓库解决方案的基础，包括系统和数据库设计、管理、性能调优等。
Circular logging is typically used in data warehouse environments where the need to recover a database is just a matter of restoring a database image.
循环日志记录通常在数据仓库环境中使用，在该环境中，恢复数据库需要的只是恢复数据库映象的问题。
To simplify the sample scenarios in this article, you'll use a single DB2 database to store both the operational data and warehouse data.
为了简化本文中的示例场景，您将使用单个DB2数据库来存储操作型数据和仓库数据。
The DB2 database server contains the structured and unstructured (most often text) warehouse data.
DB 2数据库服务器，其中存储结构化和非结构化(常常是文本)仓库数据。
With InfoSphere Warehouse you analyze the data from directly within the database.
通过InfoSphere Warehouse，您可以在数据库内直接分析数据。
InfoSphere Warehouse does not pull any data out of the database, but rather USES built-in functions and stored procedures to do the analytics.
InfoSphereWarehouse并不从数据库中提取任何数据，而是使用内置功能和存储过程来进行分析。
For example, an Oracle database, either Online Transaction Processing (OLTP) or a data Warehouse application, can benefit when using large pages.
例如Oracle数据库，无论是联机事务处理(OLTP)或者数据仓库应用程序，都可以从大型页面的使用中获益。
Solution implementation cycle: the data warehouse implementation includes the target repository and the data mart database, as well as ETL process implementation.
解决方案实现周期(Solution implementation cycle)：数据仓库实现包括目标存储库和数据集市数据库，以及ETL过程实现。
IWA is an exciting breakthrough-combining new data warehouse technology with traditional Informix relational database servers-that results in very fast performance.
IWA是一个令人振奋的突破，它将新的数据仓库技术和传统的Informix关系数据库服务器相结合，产生一种非常快的性能。
InfoSphere Warehouse provides data mining functionality directly in the underlying DB2 database where the data resides.
InfoSphere Warehouse直接在存储数据的底层DB 2数据库中提供数据挖掘功能。
Easily migrate data to a partitioned database or warehouse using the splitter function to unload into pre-split files ready for parallel loading.
使用splitter功能将数据卸载到预分区文件来为并行加载做准备，轻松地将数据迁移到分区数据库或数据仓库。
Warehouse data modeling vs. operational database modeling.
仓库数据的建模与操作数据库的建模。
MPP analytic database - Jaspersoft supports IBM's Netezza MPP analytic database data warehouse and soon will add commercial analysis support.
MPP分析数据库——Jaspersoft支持IBM的Netezza MPP分析数据库数据仓库，不久还会提供商业的分析支持。
With the InfoSphere Warehouse data Exploration view you can browse samples of database tables, browse the contents of large text columns, and determine the average length of text strings.
在InfoSphere Warehouse的Data Exploration视图中，可以浏览数据库表的示例、浏览大型文本列的内容和判断文本字符串的平均长度。
The INVENTORY and WAREHOUSE tables on the same database are populated with data as follows.
同一数据库上的INVENTORY和warehouse表由以下数据填充。
IBM DB2 data Warehouse Edition is a suite of products that combines the strength of the DB2 database server with a powerful business intelligence infrastructure from IBM.
IBMDB 2Data WarehouseEdition是一套产品，它结合了DB 2数据服务器的长处和来自IBM的强大的商业智能基础设施。
To simplify the sample scenarios in this article, we use a single DB2 database (named "TPOX") to store both the operational data and the warehouse data.
为了让本文的样例场景保持简单，我使用一个简单的DB 2数据库(名为“TPOX”)来存储运营数据和仓库数据。
Just about every business system database and data warehouse has a large number of frequently accessed small tables that would fit on USB jump drives.
每个业务系统数据库和数据仓库经常访问许多非常小的表(往往不超过u盘的容量)。
Based on introduction in database technology, the paper discusses the data processing technology of goods, especially the data mining technology applying in a high rack warehouse.
在介绍数据库技术的基础上，深入讨论了货物的数据处理技术，尤其是数据挖掘技术在立体仓库中的应用。
Data Mining, also referred to as Knowledge Discovery from database, is to abstract the potential, unknown and useful information or pattern from the large database or data warehouse.
数据挖掘，又称数据库中的知识发现，是指从大型数据库或数据仓库中提取隐含的、事先未知的、潜在有用的信息或模式。
As a data Centre for statistic and analyse of business, data warehouse is an arisen database application recently.
数据仓库作为一个为业务的统计分析服务的数据中心，是近年来兴起的一种数据库的应用。
InfoSphere Warehouse data mining is built with DB2 stored procedures and user-defined functions for high-performance in-database execution, taking advantage of DB2 as an execution environment.
InfoSphereWarehouse数据挖掘是用DB 2存储过程和用户定义函数构建的，以利用DB 2作为执行环境，从而获得高性能的数据库内执行。
That adopting data warehouse technology instead of database technology to construct the technology basis of EIS 'data management system is a new way of the research area of EIS.
采用数据仓库技术取代传统数据库技术构成EIS数据管理系统的技术基础，是EIS研究领域的新途径。
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