It introduced a design and implementation of a CASE tool used in the database and data warehouse modeling.
介绍了一个可用于数据库和数据仓库建模的CASE工具的设计与实现。
Traditional data mining algorithm is oriented relational database and data warehouse, and can not be directly used for data mining in XML documents.
传统数据挖掘算法是面向关系数据库和数据仓库的，不能直接用于XML文档的数据挖掘。
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)。
Secondly, prototype method, combined the strong points of two kinds of databases, was put forward after the comparison of both conventional database and data warehouse.
其次，在对比传统数据库系统和数据仓库系统区别后，提出一种综合了两种数据库优点的数据仓库的开发方法——原型法。
A concept of broad sense data space was proposed so that DM can be made in different part and different abstract hierarchy in database and data warehouse, which enhances the functions and flexibility.
提出广义数据空间的概念，使得数据挖掘能够在数据库或数据仓库的不同部位或不同的抽象级别上，对数字数据或者文本数据进行挖掘，加强了决策分析的功能和灵活性。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
A new approach to decision support system is put forward based on related techniques and development methods of data warehouse for the shortage of relational database in the aspect of OLAP.
针对关系型数据库在联机分析方面的不足，利用数据仓库的相关技术和开发方法，提出了决策支持系统开发的一种新途径。
Based on ERP, we apply object oriented programming tool and relation database tool to research the realization and management of the metadata of data warehouse.
基于ERP建模体系，应用面向对象程序设计工具和关系数据库工具，研究数据仓库元数据实现和管理。
We often hear the terms database, data warehouse and data mart, but the differences among them aren't always clear.
我们常常听到数据库、数据仓库和数据集市这样的术语，但往往弄不清楚它们之间的差别。
Based on the strict concept of data warehouse, the relations between data warehouse and multi dimensional database and the performances of data warehouse are explained.
在严格数据仓库概念基础上，说明了数据仓库与多维数据库之间关系及数据仓库的特性和优势。
With the maturity of the data warehouse technology, it is rcasonable and feasible to divide the whole database into two parts: operational environment and analytic environment.
数据仓库技术的逐渐成熟，使得整个系统的数据库可以分为处理环境和分析环境两部分。
The database composing, the construction principle, the logic design, physical structure design, the original data design, the data warehouse design and the security maintenance were completed.
完成了数据库构成、建设原则、逻辑设计、物理结构设计、原数据设计、数据仓库设计、安全维护等。
With wireless IP phones, your workforce can roam the sales floor, office, campus, or warehouse, answering customer inquiries and accessing company data, such as an inventory database.
与无线ip电话，您的劳动人口可以漫游的销售楼，办公室，校园，或仓库，回答客户的查询和存取公司的数据，如一个库存数据库。
There are usually three data integration methods, which include federal database, data warehouse and middleware.
目前比较成熟的数据集成方法主要有联邦数据库、数据仓库、中间件三种方法。
There are usually three data integration methods, which include federal database, data warehouse and middleware.
目前比较成熟的数据集成方法主要有联邦数据库、数据仓库、中间件三种方法。
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